WorldWideScience

Sample records for modelling multi-agent interaction

  1. Model of interaction in Smart Grid on the basis of multi-agent system

    Science.gov (United States)

    Engel, E. A.; Kovalev, I. V.; Engel, N. E.

    2016-11-01

    This paper presents model of interaction in Smart Grid on the basis of multi-agent system. The use of travelling waves in the multi-agent system describes the behavior of the Smart Grid from the local point, which is being the complement of the conventional approach. The simulation results show that the absorption of the wave in the distributed multi-agent systems is effectively simulated the interaction in Smart Grid.

  2. ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION

    Institute of Scientific and Technical Information of China (English)

    刘海龙; 吴铁军

    2001-01-01

    Our analysis of the KQML(Knowledge Query and Manipulation Language) model yielded some conclusions on the knowledge level of communication in agent-oriented program. First, the agent state and transition model were given for analyzing the necessary conditions for interaction with the synchronal and asynchronous KQML model respectively. Second, we analyzed the deadlock and starvation problems in the KQML communication, and gave the solution. At last, the advantages and disadvantages of the synchronal and asynchronous KQML model were listed respectively, and the choosing principle was given.

  3. The model of multi-agent interaction in a transportation problem with a corruption component

    Science.gov (United States)

    Malafeyev, Oleg; Saifullina, Darya; Ivaniukovich, Georgiy; Marakhov, Vladimir; Zaytseva, Irina

    2017-07-01

    The transportation problem of multi-agent interaction between different goods' transporters with a corruption component is formalized and studied in the paper. An illustrative example is given. The results of the paper allow to find a compromise solution and calculate the profit functions for all agents.

  4. Types and priorities of multi-agent system interactions

    Directory of Open Access Journals (Sweden)

    Martin Ngobye

    2010-07-01

    Full Text Available Multi-Agent Systems may be classified as containing No Direct Interactions, Simple Interactions or Complex, Conditional Interactions between agents. This paper argues and illustrates that models with simple interactions, even though possibly less fascinating for the Multi-agent system theorists than complex interaction models are, deserve more attention in the Multi-agent system community. Simple interaction models may contain social learning and reciprocal relationships. Maybe most importantly, Simple interaction models enable cross-scale connections by linking local to global actors in their local and global ‘life worlds’.

  5. Modelling Agent-Environment Interaction in Multi-Agent Simulations with Affordances

    Science.gov (United States)

    2010-04-01

    RI, USA, 2004. AIAA. 14. Carole Bernon, Massimo Cossentino, and Juan Pavi. An overview of current trends in European AOSE research. Informatica , 29(5...Abdelkader Gouaich and Fabien Michel. Towards a unified view of the environment(s) within multi-agent systems. Informatica , 29(4):423–432, November 2005. 59...coordination in mas. Informatica , 29(4):433–443, November 2005. 128. Michael A. Riley and Marie-Vee Santana. Mutuality relations, observations, and

  6. First Generation Multi-Agent Models and Their Upgrades

    OpenAIRE

    Andras Vag

    2004-01-01

    Multi-agent systems consist of interactive and independent agents of different kinds in a "world" of the computers. The key issue of multi-agent modelling is its ability to produce emergent phenomena at macro level from "micro-behaviour". For now this approach became a widely used methodology in socio-economics and ecology. This paper presents three famous first generation models and then drafts some of their upgrades, especially the agent-based computational economics, the spatial planning a...

  7. FIRST GENERATION MULTI-AGENT MODELS AND THEIR UPGRADES

    Directory of Open Access Journals (Sweden)

    Andras Vag

    2004-06-01

    Full Text Available Multi-agent systems consist of interactive and independent agents of different kinds in a "world" of the computers. The key issue of multi-agent modelling is its ability to produce emergent phenomena at macro level from "micro-behaviour". For now this approach became a widely used methodology in socio-economics and ecology. This paper presents three famous first generation models and then drafts some of their upgrades, especially the agent-based computational economics, the spatial planning approach and the ecological models. Finally some conceptual developments are presented and discussed.

  8. Modeling Infection with Multi-agent Dynamics

    CERN Document Server

    Dong, Wen; Pentland, Alex "Sandy"

    2012-01-01

    Developing the ability to comprehensively study infections in small populations enables us to improve epidemic models and better advise individuals about potential risks to their health. We currently have a limited understanding of how infections spread within a small population because it has been difficult to closely track an infection within a complete community. The paper presents data closely tracking the spread of an infection centered on a student dormitory, collected by leveraging the residents' use of cellular phones. The data are based on daily symptom surveys taken over a period of four months and proximity tracking through cellular phones. We demonstrate that using a Bayesian, discrete-time multi-agent model of infection to model real-world symptom reports and proximity tracking records gives us important insights about infec-tions in small populations.

  9. The Deontic Transaction Model in Multi-Agent Normative Systems

    Science.gov (United States)

    Huang, Yonghua; Esterline, Albert

    1998-01-01

    In the area of multi-agent systems, much research is devoted to the coordination of the agents. There exist several issues, two of which are summarized. The first is that, although agents are said to be autonomous, they always react in a predictable way to each message, and they cannot decide to violate the conventions that are hard-wired into the protocol. In fact, there might be circumstances in which the agent violates a convention in order to realize a private goal that it considers to be more important. Another issue is that, if the protocols that agents use to react to the environment are fixed, they have no way to respond to changes. However, an important characteristic of agents is that they eon react to a changing environment. Although transaction models ([BOH92], [GR93]) evolved from the database domain, they establish a general execution paradigm that ideally covers all the subsystems invoked in a sequence of transactions. So transaction models apply to multi-agent systems. Recently, some research has been devoted to overcoming the limitations of the traditional transaction models which are suitable for conventional systems and focus on system integrity, e,g., [SJ97]. Here we solve above issues by turning to a deontic concept: obligation. In multi-agent systems, agents interact with each other according to norms, We use deontic logic ([And58], [Aqv84], [B C96], [JS94], [MW93]) to model norms. Here the norms prescribe how the agents ought to behave, but-- and this is essential-- they do not exclude the possibility of "bad" behavior (i.e., the actual behavior may deviate from the ideal), and so they also prescribe what should be done in circumstances of norm violation. Thus, we propose a new approach --- a deontic transaction model for multi-agent normative systems. Our approach improves the protocol of "abort/commit" of traditional transaction models to a protocol of "abort/exception/commit". In multi-agent normative systems, we can see the violation of a

  10. Verifying Multi-Agent Systems via Unbounded Model Checking

    Science.gov (United States)

    Kacprzak, M.; Lomuscio, A.; Lasica, T.; Penczek, W.; Szreter, M.

    2004-01-01

    We present an approach to the problem of verification of epistemic properties in multi-agent systems by means of symbolic model checking. In particular, it is shown how to extend the technique of unbounded model checking from a purely temporal setting to a temporal-epistemic one. In order to achieve this, we base our discussion on interpreted systems semantics, a popular semantics used in multi-agent systems literature. We give details of the technique and show how it can be applied to the well known train, gate and controller problem. Keywords: model checking, unbounded model checking, multi-agent systems

  11. Multi-Agent Modeling in Managing Six Sigma Projects

    Directory of Open Access Journals (Sweden)

    K. Y. Chau

    2009-10-01

    Full Text Available In this paper, a multi-agent model is proposed for considering the human resources factor in decision making in relation to the six sigma project. The proposed multi-agent system is expected to increase the acccuracy of project prioritization and to stabilize the human resources service level. A simulation of the proposed multiagent model is conducted. The results show that a multi-agent model which takes into consideration human resources when making decisions about project selection and project team formation is important in enabling efficient and effective project management. The multi-agent modeling approach provides an alternative approach for improving communication and the autonomy of six sigma projects in business organizations.

  12. Multi-Agent System Interaction in Integrated SCM

    Directory of Open Access Journals (Sweden)

    G. N. Purohit

    2009-10-01

    Full Text Available Coordination between organizations on strategic, tactical and operation levels leads to more effective and efficient supply chains. Supply chain management is increasing day by day in modern enterprises. The environment is becoming competitive and many enterprises will find it difficult to survive if they do not make their sourcing, production and distribution more efficient. Multi-agent supply chain management has recognized as an effective methodology for supply chain management. Multi-agent systems (MAS offer new methods compared to conventional, centrally organized architectures in the scope of supply chain management (SCM. Since necessary data are not available within the whole supply chain, an integrated approach for production planning and control taking into account all the partners involved is not feasible. In this study we show how MAS architecture interacts in the integrated SCM architecture with the help of various intelligent agents to highlight the above problem.

  13. Multi-Agent System Interaction in Integrated SCM

    CERN Document Server

    Sindhu, Ritu; Purohit, G N

    2009-01-01

    Coordination between organizations on strategic, tactical and operation levels leads to more effective and efficient supply chains. Supply chain management is increasing day by day in modern enterprises. The environment is becoming competitive and many enterprises will find it difficult to survive if they do not make their sourcing, production and distribution more efficient. Multi-agent supply chain management has recognized as an effective methodology for supply chain management. Multi-agent systems (MAS) offer new methods compared to conventional, centrally organized architectures in the scope of supply chain management (SCM). Since necessary data are not available within the whole supply chain, an integrated approach for production planning and control taking into account all the partners involved is not feasible. In this study we show how MAS architecture interacts in the integrated SCM architecture with the help of various intelligent agents to highlight the above problem.

  14. Vehicle-based interactive management with multi-agent approach

    Directory of Open Access Journals (Sweden)

    Yee Ming Chen

    2009-09-01

    Full Text Available Under the energy crisis and global warming, mass transportation becomes more important than before. The disadvantages of mass transportation, plus the high flexibility and efficiency of taxi and with the revolution of technology, electric-taxi is the better transportation choice for metropolis. On the other hand, among the many taxi service types, dial-a-ride (DAR service system is the better way for passenger and taxi. However the electricity replenishing of electric-taxi is the biggest shortage and constraint for DAR operation system. In order to more effectively manage the electric-taxi DAR operation system and the lots of disadvantages of physical system and observe the behaviors and interactions of simulation system, multi-agent simulation technique is the most suitable simulation technique. Finally, we use virtual data as the input of simulation system and analyze the simulation result. We successfully obtain two performance measures: average waiting time and service rate. Result shows the average waiting time is only 3.93 seconds and the service rate (total transport passenger number / total passenger number is 37.073%. So these two performance measures can support us to make management decisions. The multiagent oriented model put forward in this article is the subject of an application intended in the long term to supervise the user information system of an urban transport network.

  15. A theoretical model of multi-agent quantum computing

    Science.gov (United States)

    Mihelic, F. Matthew

    2011-05-01

    The best design for practical quantum computing is one that emulates the multi-agent quantum logic function of natural biological systems. Such systems are theorized to be based upon a quantum gate formed by a nucleic acid Szilard engine (NASE) that converts Shannon entropy of encountered molecules into useful work of nucleic acid geometric reconfiguration. This theoretical mechanism is logically and thermodynamically reversible in this special case because it is literally constructed out of the (nucleic acid) information necessary for its function, thereby allowing the nucleic acid Szilard engine to function reversibly because, since the information by which it functions exists on both sides of the theoretical mechanism simultaneously, there would be no build-up of information within the theoretical mechanism, and therefore no irreversible thermodynamic energy cost would be necessary to erase information inside the mechanism. This symmetry breaking Szilard engine function is associated with emission and/or absorption of entangled photons that can provide quantum synchronization of other nucleic acid segments within and between cells. In this manner nucleic acids can be considered as a natural model of topological quantum computing in which the nonabelian interaction of genes can be represented within quantum knot/braid theory as anyon crosses determined by entropic loss or gain that leads to changes in nucleic acid covalent bond angles. This naturally occurring biological form of topological quantum computing can serve as a model for workable man-made multi-agent quantum computing systems.

  16. A Multi-Agent Immunology Model for Security Computer

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper presents a computer immunology model for computersecurity , whose main components are defined as idea of Multi-Agent. It introduces the n at ural immune system on the principle, discusses the idea and characteristics of Mu lti-Agent. It gives a system model, and describes the structure and function of each agent. Also, the communication method between agents is described.

  17. Multi-agent Model of Trust in a Human Game

    NARCIS (Netherlands)

    Jonker, C.M.; Meijer, S.A.; Tykhonov, D.; Verwaart, D.

    2006-01-01

    Individual-level trust is formalized within the context of a multi-agent system that models human behaviour with respect to trust in the Trust and Tracing Game. This is a trade game on commodity supply chains and networks, designed as a reserach tool and to be played by human players. The model of t

  18. A multi agent model for the limit order book dynamics

    NARCIS (Netherlands)

    Bartolozzi, M.

    2010-01-01

    In the present work we introduce a novel multi-agent model with the aim to reproduce the dynamics of a double auction market at microscopic time scale through a faithful simulation of the matching mechanics in the limit order book.aEuro (c) The agents follow a noise decision making process where the

  19. An Interactive Tool for Creating Multi-Agent Systems and Interactive Agent-based Games

    DEFF Research Database (Denmark)

    Lund, Henrik Hautop; Pagliarini, Luigi

    2011-01-01

    Utilizing principles from parallel and distributed processing combined with inspiration from modular robotics, we developed the modular interactive tiles. As an educational tool, the modular interactive tiles facilitate the learning of multi-agent systems and interactive agent-based games....... The modular and physical property of the tiles provides students with hands-on experience in exploring the theoretical aspects underlying multi-agent systems which often appear as challenging to students. By changing the representation of the cognitive challenging aspects of multi-agent systems education...

  20. Multi-Agent Market Modeling of Foreign Exchange Rates

    Science.gov (United States)

    Zimmermann, Georg; Neuneier, Ralph; Grothmann, Ralph

    A market mechanism is basically driven by a superposition of decisions of many agents optimizing their profit. The oeconomic price dynamic is a consequence of the cumulated excess demand/supply created on this micro level. The behavior analysis of a small number of agents is well understood through the game theory. In case of a large number of agents one may use the limiting case that an individual agent does not have an influence on the market, which allows the aggregation of agents by statistic methods. In contrast to this restriction, we can omit the assumption of an atomic market structure, if we model the market through a multi-agent approach. The contribution of the mathematical theory of neural networks to the market price formation is mostly seen on the econometric side: neural networks allow the fitting of high dimensional nonlinear dynamic models. Furthermore, in our opinion, there is a close relationship between economics and the modeling ability of neural networks because a neuron can be interpreted as a simple model of decision making. With this in mind, a neural network models the interaction of many decisions and, hence, can be interpreted as the price formation mechanism of a market.

  1. Multi-agent Based Modeling of Manufacturing Network

    Institute of Scientific and Technical Information of China (English)

    GUO Yuming; SUN Yanming; ZHENG Shixiong

    2006-01-01

    An intelligent manufacturing system is modeled currently from the viewpoint of manufacturing applications, and the network platform's influence to manufacturing applications is not considered adequately. However any bottleneck in service oriented architecture (SOA) for the manufacturing network can affect the agility of the IT environment. In this paper, to achieve a trade-off between manufacturing resources and network resources, the manufacturing network is modeled with multi-agent, in which two kinds of basic elements, the manufacturing application unit and the network carrier of manufacturing information, are presented. And their main characters are described by colored petri net. The manufacturing application model drives the network platform that inversely provides this application model technology supports. The proposed multi-agent system is demonstrated through an example integration scenario involving production plan, resources management and execution subsystems. And the result suggests that analyzing and designing the system architecture of networked manufacturing should give due attention to the operation system as well as manufacturing applications.

  2. Modelling of Robotized Manufacturing Systems Using MultiAgent Formalism

    Science.gov (United States)

    Foit, K.; Gwiazda, A.; Banaś, W.

    2016-08-01

    The evolution of manufacturing systems has greatly accelerated due to development of sophisticated control systems. On top of determined, one way production flow the need of decision making has arisen as a result of growing product range that are manufactured simultaneously, using the same resources. On the other hand, the intelligent flow control could address the “bottleneck” problem caused by the machine failure. This sort of manufacturing systems uses advanced control algorithms that are introduced by the use of logic controllers. The complex algorithms used in the control systems requires to employ appropriate methods during the modelling process, like the agent-based one, which is the subject of this paper. The concept of an agent is derived from the object-based methodology of modelling, so it meets the requirements of representing the physical properties of the machines as well as the logical form of control systems. Each agent has a high level of autonomy and could be considered separately. The multi-agent system consists of minimum two agents that can interact and modify the environment, where they act. This may lead to the creation of self-organizing structure, what could be interesting feature during design and test of manufacturing system.

  3. Modeling Ambiguity in a Multi-Agent System

    OpenAIRE

    Monz, Christof

    2000-01-01

    This paper investigates the formal pragmatics of ambiguous expressions by modeling ambiguity in a multi-agent system. Such a framework allows us to give a more refined notion of the kind of information that is conveyed by ambiguous expressions. We analyze how ambiguity affects the knowledge of the dialog participants and, especially, what they know about each other after an ambiguous sentence has been uttered. The agents communicate with each other by means of a TELL-function, whose applicati...

  4. Modeling of Multi-Agent Oriented learning System for Impaired Students with JADE

    Directory of Open Access Journals (Sweden)

    Sripati Mukhopadhyay

    2012-11-01

    Full Text Available In this research paper we presented a model of multi-agent system based learning environment for physically impaired students. The learning system is modeled on the basis of both centralized as well as distributed multi-agent planning. The entire learning system keeps track of the type of impairment the student has and mode of interaction of the environment is set depending on the type of impairment(s. The system consists of agents which are developed using JADE agent technology that helps the students with disabilities to continue studies from their own places.

  5. Space in multi-agent systems modelling spatial processes

    Directory of Open Access Journals (Sweden)

    Petr Rapant

    2007-06-01

    Full Text Available Need for modelling of spatial processes arise in the spehere of geoinformation systems in the last time. Some processes (espetially natural ones can be modeled by means of using external tools, e. g. for modelling of contaminant transport in the environment. But in the case of socio-economic processes suitable tools interconnected with GIS are still in quest of reserch and development. One of the candidate technologies are so called multi-agent systems. Their theory is developed quite well, but they lack suitable means for dealing with space. This article deals with this problem and proposes solution for the field of a road transport modelling.

  6. Multi-Agent Active Interaction with Driving Assistance Systems

    OpenAIRE

    Barthès, Jean-Paul,; Bonnifait, Philippe

    2010-01-01

    7 pages; International audience; Intelligent vehicles refer currently to vehicles able to drive autonomously or able to provide pertinent information to the driver for safety, assistance and comfort. Cognitive cars are intelligent vehicles with additional capabilities like being able to collaborate with the driver in operating conditions. In this paper, a multi-agent system is used as a “digital butler” that does the interface between the driver and the machine. In order to test this approach...

  7. Multi-Agent System Interaction in Integrated SCM

    OpenAIRE

    G. N. Purohit; Abdul Wahid; Ritu Sindhu

    2009-01-01

    Coordination between organizations on strategic, tactical and operation levels leads to more effective and efficient supply chains. Supply chain management is increasing day by day in modern enterprises. The environment is becoming competitive and many enterprises will find it difficult to survive if they do not make their sourcing, production and distribution more efficient. Multi-agent supply chain management has recognized as an effective methodology for supply chain management. Multi-agen...

  8. RESEARCH ON CAPP/SCHEDULING INTEGRATION MULTI-AGENT SYSTEM MODEL AND IMPLEMENTATION

    Institute of Scientific and Technical Information of China (English)

    Wang Yunli; Xiao Tianyuan; Duan Guanghong; Wang Xiankui

    2003-01-01

    A design methodology for multi-agent systems is proposed. The systemic framework of CAPP and scheduling integrated multi-agent system according to design methodology is researched.Agent model, composition model and cooperation model are discussed respectively in the multi-agent system. Static composition model and dynamic running model of CAPP and scheduling integrated system are presented in composition model. Communication model, language model and protocol model are discussed in corporation model. CSIMAS, CAPP and scheduling integrated multi-agent prototype system, is developed to illuminate system model. Multiple non-rotational parts are tested in distributed process planning and scheduling environment of CSIMAS.

  9. Multi-agent immune recognition of water mine model

    Institute of Scientific and Technical Information of China (English)

    LIU Hai-bo; GU Guo-chang; SHEN Jing; FU Yan

    2005-01-01

    It is necessary for mine countermeasure systems to recognise the model of a water mine before destroying because the destroying measures to be taken must be determined according to mine model. In this paper, an immune neural network (INN) along with water mine model recognition system based on multi-agent system is proposed. A modified clonal selection algorithm for constructing such an INN is presented based on clonal selection principle. The INN is a two-layer Boolean network whose number of outputs is adaptable according to the task and the affinity threshold. Adjusting the affinity threshold can easily control different recognition precision, and the affinity threshold also can control the capability of noise tolerance.

  10. A competitive multi-agent model of interbank payment systems

    CERN Document Server

    Galbiati, Marco

    2007-01-01

    We develop a dynamic multi-agent model of an interbank payment system where banks choose their level of available funds on the basis of private payoff maximisation. The model consists of the repetition of a simultaneous move stage game with incomplete information, incomplete monitoring, and stochastic payoffs. Adaptation takes place with bayesian updating, with banks maximizing immediate payoffs. We carry out numerical simulations to solve the model and investigate two special scenarios: an operational incident and exogenous throughput guidelines for payment submission. We find that the demand for intraday credit is an S-shaped function of the cost ratio between intraday credit costs and the costs associated with delaying payments. We also find that the demand for liquidity is increased both under operational incidents and in the presence of effective throughput guidelines.

  11. A multi agent model for the limit order book dynamics

    Science.gov (United States)

    Bartolozzi, M.

    2010-11-01

    In the present work we introduce a novel multi-agent model with the aim to reproduce the dynamics of a double auction market at microscopic time scale through a faithful simulation of the matching mechanics in the limit order book. The agents follow a noise decision making process where their actions are related to a stochastic variable, the market sentiment, which we define as a mixture of public and private information. The model, despite making just few basic assumptions over the trading strategies of the agents, is able to reproduce several empirical features of the high-frequency dynamics of the market microstructure not only related to the price movements but also to the deposition of the orders in the book.

  12. From pattern formation to material computation multi-agent modelling of physarum polycephalum

    CERN Document Server

    Jones, Jeff

    2015-01-01

    This book addresses topics of mobile multi-agent systems, pattern formation, biological modelling, artificial life, unconventional computation, and robotics. The behaviour of a simple organism which is capable of remarkable biological and computational feats that seem to transcend its simple component parts is examined and modelled. In this book the following question is asked: How can something as simple as Physarum polycephalum - a giant amoeboid single-celled organism which does not possess any neural tissue, fixed skeleton or organised musculature - can approximate complex computational behaviour during its foraging, growth and adaptation of its amorphous body plan, and with such limited resources? To answer this question the same apparent limitations as faced by the organism are applied: using only simple components with local interactions. A synthesis approach is adopted and a mobile multi-agent system with very simple individual behaviours is employed. It is shown their interactions yield emergent beha...

  13. Group Behavior Learning in Multi-Agent Systems Based on Social Interaction Among Agents

    OpenAIRE

    Zhang, Kun; Maeda, Yoichiro; Takahashi, Yasutake

    2011-01-01

    Research on multi-agent systems, in which autonomous agents are able to learn cooperative behavior, has been the subject of rising expectations in recent years. We have aimed at the group behavior generation of the multi-agents who have high levelsof autonomous learning ability, like that of human beings, through social interaction between agents to acquire cooperative behavior. The sharing of environmentstates can improve cooperative ability, andthe changing state of the environment in the i...

  14. The Agent Modeling Language AML A Comprehensive Approach to Modeling Multi-agent Systems

    CERN Document Server

    Cervenka, Radovan

    2007-01-01

    Multi-agent systems are already a focus of studies for more than 25 years. Despite substantial effort of an active research community, modeling of multi-agent systems still lacks complete and proper definition, general acceptance, and practical application. Due to the vast potential of these systems e.g., to improve the practice in software and to extent the applications that can feasibly be tackled, this book tries to provide a comprehensive modeling language - the Agent Modeling Language (AML) - as an extension of UML 2.0, concentrating on multi-agent systems and applications.

  15. Synchronization of multi-agent systems with metric-topological interactions.

    Science.gov (United States)

    Wang, Lin; Chen, Guanrong

    2016-09-01

    A hybrid multi-agent systems model integrating the advantages of both metric interaction and topological interaction rules, called the metric-topological model, is developed. This model describes planar motions of mobile agents, where each agent can interact with all the agents within a circle of a constant radius, and can furthermore interact with some distant agents to reach a pre-assigned number of neighbors, if needed. Some sufficient conditions imposed only on system parameters and agent initial states are presented, which ensure achieving synchronization of the whole group of agents. It reveals the intrinsic relationships among the interaction range, the speed, the initial heading, and the density of the group. Moreover, robustness against variations of interaction range, density, and speed are investigated by comparing the motion patterns and performances of the hybrid metric-topological interaction model with the conventional metric-only and topological-only interaction models. Practically in all cases, the hybrid metric-topological interaction model has the best performance in the sense of achieving highest frequency of synchronization, fastest convergent rate, and smallest heading difference.

  16. A Multi Agent Based Model for Airport Service Planning

    Directory of Open Access Journals (Sweden)

    W.H. Ip

    2010-09-01

    Full Text Available Aviation industry is highly dynamic and demanding in nature that time and safety are the two most important factors while one of the major sources of delay is aircraft on ground because of it complexity, a lot of machinery like vehicles are involved and lots of communication are involved. As one of the aircraft ground services providers in Hong Kong International Airport, China Aircraft Services Limited (CASL aims to increase competitiveness by better its service provided while minimizing cost is also needed. One of the ways is to optimize the number of maintenance vehicles allocated in order to minimize chance of delay and also operating costs. In the paper, an agent-based model is proposed for support decision making in vehicle allocation. The overview of the aircrafts ground services procedures is firstly mentioned with different optimization methods suggested by researchers. Then, the agent-based approach is introduced and in the latter part of report and a multi-agent system is built and proposed which is decision supportive for CASL in optimizing the maintenance vehicles' allocation. The application provides flexibility for inputting number of different kinds of vehicles, simulation duration and aircraft arrival rate in order to simulation different scenarios which occurs in HKIA.

  17. Realization of consensus of multi-agent systems with stochastically mixed interactions

    Science.gov (United States)

    Sun, Yongzheng; Li, Wang; Zhao, Donghua

    2016-07-01

    In this paper, we propose a new consensus model in which the interactions among agents stochastically switch between attraction and repulsion. Such a positive-and-negative mechanism is described by the white-noise-based coupling. Analytic criteria for the consensus and non-consensus in terms of the eigenvalues of the noise intensity matrix are derived, which provide a better understanding of the constructive roles of random interactions. Specifically, we discover a positive role of noise coupling that noise can accelerate the emergence of consensus. We find that the converging speed of the multi-agent network depends on the square of the second smallest eigenvalue of its graph Laplacian. The influence of network topologies on the consensus time is also investigated.

  18. A Q-based integrating interaction framework system for multi-agent coordination

    Institute of Scientific and Technical Information of China (English)

    WANG Zhen-jie; SHENG Huan-ye; XIAO Zheng-guang

    2005-01-01

    Interaction is one of the crucial features of multi-agent systems, in which there are two kinds of interaction: agent-to-agent and human-to-agent. In order to unify the two kinds of interaction while designing multiagent systems, this paper introduces Q language-a scenario description language for designing interaction among agents and humans. Based on Q, we propose an integrating interaction framework system for multi-agent coordination, in which Q scenarios are used to uniformly describe both kinds of interactions. Being in accordance to the characteristics of Q language, the Q-based framework makes the interaction process open and easily understood by the users. Additionally, it makes specific applications of multi-agent systems easy to be established by application designers. By applying agent negotiation in agent-mediated e-commerce and agent cooperation in interoperable information query on the Semantic Web, we illustrate how the presented framework for multi-agent coordination is implemented in concrete applications. At the same time, these two different applications also demonstrate usability of the presented framework and verify validity of Q language.

  19. Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing

    Directory of Open Access Journals (Sweden)

    Edwar Jacinto Gómez

    2016-02-01

    Full Text Available We present a model for the study, analysis, design and evaluation of collective multi-agent navigation for autonomous robots based on behaviors observed in bacteria. The system consists of a set of simple agents (artificial bacteria, which through readings and local interaction are self-organized to navigate along the environment. Given the parallel structure, also happens to be a very robust solution. We show the basic structure proposal for the design abstracting the characteristics of the biological model, together with an analysis of stability and convergence.

  20. Enhancing Multi-Agent Based Simulation with Human-Agents Interactive Spatial Behaviour

    CERN Document Server

    Chen, Yee Ming; Shiu, Hung-Ming

    2009-01-01

    We are exploring the enhancement of models of agent behaviour with more "human-like" decision making strategies than are presently available. Our motivation is to developed with a view to as the decision analysis and support for electric taxi company under the mission of energy saving and reduction of CO2, in particular car-pool and car-sharing management policies. In order to achieve the object of decision analysis for user, we provide a human-agents interactive spatial behaviour to support user making decision real time. We adopt passenger average waiting time and electric taxi average idle time as the performance measures and decision support fro electric taxi company. Finally, according to the analysis result, we demonstrate that our multi-agent simulation and GUI can help users or companies quickly make a quality and accurate decision to reduce the decision-making cost and time.

  1. Nash equilibria in multi-agent motor interactions.

    Directory of Open Access Journals (Sweden)

    Daniel A Braun

    2009-08-01

    Full Text Available Social interactions in classic cognitive games like the ultimatum game or the prisoner's dilemma typically lead to Nash equilibria when multiple competitive decision makers with perfect knowledge select optimal strategies. However, in evolutionary game theory it has been shown that Nash equilibria can also arise as attractors in dynamical systems that can describe, for example, the population dynamics of microorganisms. Similar to such evolutionary dynamics, we find that Nash equilibria arise naturally in motor interactions in which players vie for control and try to minimize effort. When confronted with sensorimotor interaction tasks that correspond to the classical prisoner's dilemma and the rope-pulling game, two-player motor interactions led predominantly to Nash solutions. In contrast, when a single player took both roles, playing the sensorimotor game bimanually, cooperative solutions were found. Our methodology opens up a new avenue for the study of human motor interactions within a game theoretic framework, suggesting that the coupling of motor systems can lead to game theoretic solutions.

  2. SIMULATING AN EVOLUTIONARY MULTI-AGENT BASED MODEL OF THE STOCK MARKET

    Directory of Open Access Journals (Sweden)

    Diana MARICA

    2015-08-01

    Full Text Available The paper focuses on artificial stock market simulations using a multi-agent model incorporating 2,000 heterogeneous agents interacting on the artificial market. The agents interaction is due to trading activity on the market through a call auction trading mechanism. The multi-agent model uses evolutionary techniques such as genetic programming in order to generate an adaptive and evolving population of agents. Each artificial agent is endowed with wealth and a genetic programming induced trading strategy. The trading strategy evolves and adapts to the new market conditions through a process called breeding, which implies that at each simulation step, new agents with better trading strategies are generated by the model, from recombining the best performing trading strategies and replacing the agents which have the worst performing trading strategies. The simulation model was build with the help of the simulation software Altreva Adaptive Modeler which offers a suitable platform for financial market simulations of evolutionary agent based models, the S&P500 composite index being used as a benchmark for the simulation results.

  3. Supply Chain Management System Model of Virtual Enterprises Based on Multi-Agent

    Institute of Scientific and Technical Information of China (English)

    LI Zhen; ZHANG Pei-pei

    2008-01-01

    Based on the analysis of a virtual enterprise and the development of supply chain management, their integration is proposed. Then, the difference between multi-agent system modeling method and the traditional modeling method is analyzed, and a method based on Java agent framework for multi-agent systems(JAFMAS) is proposed. By using this method the virtual enterprise's supply chain management system model is established.

  4. A multi-agent approach for modeling oligarchs' campaign donations with simulated spatial elections

    CERN Document Server

    Wright, Mason

    2013-01-01

    We present the OLIGO model, a multi-agent simulation of oligarchy. We extend previous multi-agent-based, spatial models of democracy by adding a new class of agents, oligarchs, which represent leaders of firms in a common industry who lobby for beneficial subsidies through campaign donations. We test hypotheses from the literature in political economics on the behavior of oligarchs and political parties as they interact, under conditions of imperfect information and bounded rationality. By verifying that central hypotheses from the economics literature hold for the OLIGO model, we accomplish two goals: (1) We show that the simple rules agents follow in our model are sufficient to capture much of the complex dynamics of this politico-economic system; (2) we validate these results from prior studies that used analytic methods, using an alternative, agent-based modeling method; and (3) we derive support for the claim that the OLIGO model is a useful test environment for novel hypotheses about oligarchs' campaign...

  5. Model Transformation for Model Driven Development of Semantic Web Enabled Multi-Agent Systems

    NARCIS (Netherlands)

    Kardas, G.; Göknil, Arda; Dikenelli, O.; Topaloglu, N.Y.; Weyns, D.; Holvoet, T.

    2007-01-01

    Model Driven Development (MDD) provides an infrastructure that simplifies Multi-agent System (MAS) development by increasing the abstraction level. In addition to defining models, transformation process for those models is also crucial in MDD. On the other hand, MAS modeling should also take care of

  6. Model Transformation for Model Driven Development of Semantic Web Enabled Multi-Agent Systems

    NARCIS (Netherlands)

    Kardas, G.; Göknil, A.; Dikenelli, O.; Topaloglu, N.Y.

    2007-01-01

    Model Driven Development (MDD) provides an infrastructure that simplifies Multi-agent System (MAS) development by increasing the abstraction level. In addition to defining models, transformation process for those models is also crucial in MDD. On the other hand, MAS modeling should also take care of

  7. Users matter : multi-agent systems model of high performance computing cluster users.

    Energy Technology Data Exchange (ETDEWEB)

    North, M. J.; Hood, C. S.; Decision and Information Sciences; IIT

    2005-01-01

    High performance computing clusters have been a critical resource for computational science for over a decade and have more recently become integral to large-scale industrial analysis. Despite their well-specified components, the aggregate behavior of clusters is poorly understood. The difficulties arise from complicated interactions between cluster components during operation. These interactions have been studied by many researchers, some of whom have identified the need for holistic multi-scale modeling that simultaneously includes network level, operating system level, process level, and user level behaviors. Each of these levels presents its own modeling challenges, but the user level is the most complex due to the adaptability of human beings. In this vein, there are several major user modeling goals, namely descriptive modeling, predictive modeling and automated weakness discovery. This study shows how multi-agent techniques were used to simulate a large-scale computing cluster at each of these levels.

  8. Realization on the interactive remote video conference system based on multi-Agent

    Directory of Open Access Journals (Sweden)

    Zheng Yan

    2016-01-01

    Full Text Available To make people at different places participate in the same conference, speak and discuss freely, the interactive remote video conferencing system is designed and realized based on multi-Agent collaboration. FEC (forward error correction and tree P2P technology are firstly used to build a live conference structure to transfer audio and video data; then the branch conference port can participate to speak and discuss through the application of becoming a interactive focus; the introduction of multi-Agent collaboration technology improve the system robustness. The experiments showed that, under normal network conditions, the system can support 350 branch conference node simultaneously to make live broadcasting. The audio and video quality is smooth. It can carry out large-scale remote video conference.

  9. Hybrid Multi-Agent Control in Microgrids: Framework, Models and Implementations Based on IEC 61850

    Directory of Open Access Journals (Sweden)

    Xiaobo Dou

    2014-12-01

    Full Text Available Operation control is a vital and complex issue for microgrids. The objective of this paper is to explore the practical means of applying decentralized control by using a multi agent system in actual microgrids and devices. This paper presents a hierarchical control framework (HCF consisting of local reaction control (LRC level, local decision control (LDC level, horizontal cooperation control (HCC level and vertical cooperation control (VCC level to meet different control requirements of a microgrid. Then, a hybrid multi-agent control model (HAM is proposed to implement HCF, and the properties, functionalities and operating rules of HAM are described. Furthermore, the paper elaborates on the implementation of HAM based on the IEC 61850 Standard, and proposes some new implementation methods, such as extended information models of IEC 61850 with agent communication language and bidirectional interaction mechanism of generic object oriented substation event (GOOSE communication. A hardware design and software system are proposed and the results of simulation and laboratory tests verify the effectiveness of the proposed strategies, models and implementations.

  10. Modeling and simulation of virtual human's coordination based on multi-agent systems

    Science.gov (United States)

    Zhang, Mei; Wen, Jing-Hua; Zhang, Zu-Xuan; Zhang, Jian-Qing

    2006-10-01

    The difficulties and hotspots researched in current virtual geographic environment (VGE) are sharing space and multiusers operation, distributed coordination and group decision-making. The theories and technologies of MAS provide a brand-new environment for analysis, design and realization of distributed opening system. This paper takes cooperation among virtual human in VGE which multi-user participate in as main researched object. First we describe theory foundation truss of VGE, and present the formalization description of Multi-Agent System (MAS). Then we detailed analyze and research arithmetic of collectivity operating behavior learning of virtual human based on best held Genetic Algorithm(GA), and establish dynamics action model which Multi-Agents and object interact dynamically and colony movement strategy. Finally we design a example which shows how 3 evolutional Agents cooperate to complete the task of colony pushing column box, and design a virtual world prototype of virtual human pushing box collectively based on V-Realm Builder 2.0, moreover we make modeling and dynamic simulation with Simulink 6.

  11. Modelling of Multi-Agent Systems: Experiences with Membrane Computing and Future Challenges

    CERN Document Server

    Kefalas, Petros; 10.4204/EPTCS.33.5

    2010-01-01

    Formal modelling of Multi-Agent Systems (MAS) is a challenging task due to high complexity, interaction, parallelism and continuous change of roles and organisation between agents. In this paper we record our research experience on formal modelling of MAS. We review our research throughout the last decade, by describing the problems we have encountered and the decisions we have made towards resolving them and providing solutions. Much of this work involved membrane computing and classes of P Systems, such as Tissue and Population P Systems, targeted to the modelling of MAS whose dynamic structure is a prominent characteristic. More particularly, social insects (such as colonies of ants, bees, etc.), biology inspired swarms and systems with emergent behaviour are indicative examples for which we developed formal MAS models. Here, we aim to review our work and disseminate our findings to fellow researchers who might face similar challenges and, furthermore, to discuss important issues for advancing research on ...

  12. Multi-agent Architecture for the Multi-Skill Tasks Modeling at the Pediatric Emergency Department.

    Science.gov (United States)

    Ajmi, Ines; Zgaya, Hayfa; Hammadi, Slim; Gammoudi, Lotfi; Martinot, Alain; Beuscart, Régis; Renard, Jean-Marie

    2015-01-01

    Patient journey in the Pediatric Emergency Department is a highly complex process. Current approaches for modeling are insufficient because they either focus only on the single ancillary units, or therefore do not consider the entire treatment process of the patients, or they do not account for the dynamics of the patient journey modeling. Therefore, we propose an agent based approach in which patients and emergency department human resources are represented as autonomous agents who are able to react flexible to changes and disturbances through pro-activeness and reactiveness. The main aim of this paper is to present the overall design of the proposed multi-agent system, emphasizing its architecture and the behavior of each agent of the model. Besides, we describe inter-agent communication based on the agent interaction protocol to ensure cooperation between agents when they perform the coordination of tasks for the users. This work is integrated into the ANR HOST project (ANR-11-TecSan-010).

  13. New E-Commerce Model Based on Multi-Agent Automated Negotiation

    Institute of Scientific and Technical Information of China (English)

    向传杰; 贾云得

    2003-01-01

    A new multi-agent automated negotiation model is developed and evaluated, in which two competitive agents, such as the buyer and seller, have firm deadlines and incomplete information about each other. The negotiation is multi-dimensional in different cases. The model is discussed in 6 kinds of cases with different price strategies, warrantee strategies and time strategies. The model improves the model of Wooldridge and that of Sycara to a certain extent. In all possible situations, the optimal negotiation strategy is analyzed and presented, and an e-commerce model based on multi-agent automated negotiation model is also illustrated for the e-commerce application in the future.

  14. Multi-agent Based Hierarchy Simulation Models of Carrier-based Aircraft Catapult Launch

    Institute of Scientific and Technical Information of China (English)

    Wang Weijun; Qu Xiangju; Guo Linliang

    2008-01-01

    With the aid of multi-agent based modeling approach to complex systems,the hierarchy simulation models of carrier-based aircraft catapult launch are developed.Ocean,carrier,aircraft,and atmosphere are treated as aggregation agents,the detailed components like catapult,landing gears,and disturbances are considered as meta-agents,which belong to their aggregation agent.Thus,the model with two layers is formed i.e.the aggregation agent layer and the meta-agent layer.The information communication among all agents is described.The meta-agents within one aggregation agent communicate with each other directly by information sharing,but the meta-agents,which belong to different aggregation agents exchange their information through the aggregation layer fast,and then perceive it from the sharing environment,that is the aggregation agent.Thus,not only the hierarchy model is built,but also the environment perceived by each agent is specified.Meanwhile,the problem of balancing the independency of agent and the resource consumption brought by real-time communication within multi-agent system (MAS) is resolved.Each agent involved in carrier-based aircraft catapult launch is depicted,with considering the interaction within disturbed atmospheric environment and multiple motion bodies including carrier,aircraft,and landing gears.The models of reactive agents among them are derived based on tensors,and the perceived messages and inner frameworks of each agent are characterized.Finally,some results of a simulation instance are given.The simulation and modeling of dynamic system based on multi-agent system is of benefit to express physical concepts and logical hierarchy clearly and precisely.The system model can easily draw in kinds of other agents to achieve a precise simulation of more complex system.This modeling technique makes the complex integral dynamic equations of multibodies decompose into parallel operations of single agent,and it is convenient to expand,maintain,and reuse

  15. Follow Model Based on Multi-agent System%基于Multi-Agent System的跟驰模型

    Institute of Scientific and Technical Information of China (English)

    魏庆曜; 陈斌; 金炜东; 高利

    2005-01-01

    利用Agent相关理论,基于多个相互协作的Agent,构建了基于Multi-Agent System的跟驰模型,具体给出了各Agent的结构和元组构成,以使车辆在跟驰环境下能自适应、主动地对环境进行响应并做出决策.此外,基于构建的跟驰模型给出了数值仿真实例,并得到合理结论.

  16. Propagation Modeling of Food Safety Crisis Information Update Based on the Multi-agent System

    Directory of Open Access Journals (Sweden)

    Meihong Wu

    2015-08-01

    Full Text Available This study propose a new multi-agent system frame based on epistemic default complex adaptive theory and use the agent based simulation and modeling the information updating process to study food safety crisis information dissemination. Then, we explore interaction effect between each agent in food safety crisis information dissemination at the current environment and mostly reveals how the government agent, food company agent and network media agent influence users confidence in food safety. The information updating process give a description on how to guide a normal spread of food safety crisis in public opinion in the current environment and how to enhance the confidence of food quality and safety of the average users.

  17. Development of immune-specific interaction potentials and their application in the multi-agent-system VaccImm.

    Science.gov (United States)

    Woelke, Anna Lena; von Eichborn, Joachim; Murgueitio, Manuela S; Worth, Catherine L; Castiglione, Filippo; Preissner, Robert

    2011-01-01

    Peptide vaccination in cancer therapy is a promising alternative to conventional methods. However, the parameters for this personalized treatment are difficult to access experimentally. In this respect, in silico models can help to narrow down the parameter space or to explain certain phenomena at a systems level. Herein, we develop two empirical interaction potentials specific to B-cell and T-cell receptor complexes and validate their applicability in comparison to a more general potential. The interaction potentials are applied to the model VaccImm which simulates the immune response against solid tumors under peptide vaccination therapy. This multi-agent system is derived from another immune system simulator (C-ImmSim) and now includes a module that enables the amino acid sequence of immune receptors and their ligands to be taken into account. The multi-agent approach is combined with approved methods for prediction of major histocompatibility complex (MHC)-binding peptides and the newly developed interaction potentials. In the analysis, we critically assess the impact of the different modules on the simulation with VaccImm and how they influence each other. In addition, we explore the reasons for failures in inducing an immune response by examining the activation states of the immune cell populations in detail.In summary, the present work introduces immune-specific interaction potentials and their application to the agent-based model VaccImm which simulates peptide vaccination in cancer therapy.

  18. Development of immune-specific interaction potentials and their application in the multi-agent-system VaccImm.

    Directory of Open Access Journals (Sweden)

    Anna Lena Woelke

    Full Text Available Peptide vaccination in cancer therapy is a promising alternative to conventional methods. However, the parameters for this personalized treatment are difficult to access experimentally. In this respect, in silico models can help to narrow down the parameter space or to explain certain phenomena at a systems level. Herein, we develop two empirical interaction potentials specific to B-cell and T-cell receptor complexes and validate their applicability in comparison to a more general potential. The interaction potentials are applied to the model VaccImm which simulates the immune response against solid tumors under peptide vaccination therapy. This multi-agent system is derived from another immune system simulator (C-ImmSim and now includes a module that enables the amino acid sequence of immune receptors and their ligands to be taken into account. The multi-agent approach is combined with approved methods for prediction of major histocompatibility complex (MHC-binding peptides and the newly developed interaction potentials. In the analysis, we critically assess the impact of the different modules on the simulation with VaccImm and how they influence each other. In addition, we explore the reasons for failures in inducing an immune response by examining the activation states of the immune cell populations in detail.In summary, the present work introduces immune-specific interaction potentials and their application to the agent-based model VaccImm which simulates peptide vaccination in cancer therapy.

  19. Development and evaluation of multi-agent models predicting Twitter trends in multiple domains

    NARCIS (Netherlands)

    Attema, T.; Maanen, P.P. van; Meeuwissen, E.

    2015-01-01

    This paper concerns multi-agent models predicting Twitter trends. We use a step-wise approach to develop a novel agent-based model with the following properties: (1) it uses individual behavior parameters for a set of Twitter users and (2) it uses a retweet graph to model the underlying social

  20. Multi-dimension Reputation Model Design in Multi-agent System%Multi-agent System中多维度信誉模型设计

    Institute of Scientific and Technical Information of China (English)

    徐莉; 余红伟

    2013-01-01

    Reputation mechanism was introduced to solve complex interaction problems and promote cooperation in multi-agent system (MAS). Based on two reputation representations including the reputation confidence level and the expected reputation level, the aptitude assessment from a neutral party was proposed as another source of reputation information. Similar operators in interactions and weights of reputation information sources were put forward, the initiative reputation confidence levels were updated from both the objective-rating dimension and the information-source dimension. Finally, the ultimate reputation value was obtained on the basis of the Dempster rule. The multi-dimension reputation model was applied to the online market to verify its effectiveness. Finally, an analysis was made of the model's efficiency and resistance for security threats. Results show that multi-dimension reputation model solves well the new agents' reputation problem and incent the agents to give a spontaneous rate after interaction. Eight key security threats in distributed system can be well solved or alleviated.%在multi-agent system (MAS)中引入信誉机制是解决Agent间复杂交互问题促进合作的有效途径.在构造信誉置信度和期望信誉级别两种信誉表示形式的基础上,提出第三方权威机构的资质评价作为第三种信誉信息来源,引入活动相似算子和信息来源权重,从评价目标多维性和信息来源多维性对初始信誉置信度评价进行修正,运用Dempster规则合成计算获得最终信誉评价,并以实例验证了模型的实用性.最后对模型的效率与抗威胁性进行了检验,结果表明模型解决了新进Agent的信誉赋值问题,可以在一定程度上激励Agent主动给出交互评价,并能很好地解决或缓解分布式系统中关键的8种安全威胁.

  1. Platform-level Distributed Warfare Model-based on Multi-Agent System Framework

    Directory of Open Access Journals (Sweden)

    Xiong Li

    2012-05-01

    Full Text Available The multi-agent paradigm has become a useful tool in solving military problems. However, one of key challenges in multi-agent model for distributed warfare could be how to describe the microcosmic  tactical warfare platforms actions. In this paper, a platform-level distributed warfare model based on multi-agent system framework is designed to tackle this challenge. The basic ideas include:  Establishing multi-agent model by mapping from tactical warfare system’s members, i.e., warfare platforms, to respective agents; performing task decomposition and task allocation by using task-tree decomposition method and improved contract net protocol model technique; and implementing simulation by presenting battlefield terrain environment analysis algorithm based on grid approach. The  simulation demonstration results show that our model provides a feasible and effective approach to supporting the abstraction and representation of microcosmic tactical actions for complex warfare system.Defence Science Journal, 2012, 62(1, pp.180-186, DOI:http://dx.doi.org/10.14429/dsj.62.964

  2. Formal Modeling of Multi-Agent Systems using the Pi-Calculus and Epistemic Logic

    Science.gov (United States)

    Rorie, Toinette; Esterline, Albert

    1998-01-01

    Multi-agent systems have become important recently in computer science, especially in artificial intelligence (AI). We allow a broad sense of agent, but require at least that an agent has some measure of autonomy and interacts with other agents via some kind of agent communication language. We are concerned in this paper with formal modeling of multi-agent systems, with emphasis on communication. We propose for this purpose to use the pi-calculus, an extension of the process algebra CCS. Although the literature on the pi-calculus refers to agents, the term is used there in the sense of a process in general. It is our contention, however, that viewing agents in the AI sense as agents in the pi-calculus sense affords significant formal insight. One formalism that has been applied to agents in the AI sense is epistemic logic, the logic of knowledge. The success of epistemic logic in computer science in general has come in large part from its ability to handle concepts of knowledge that apply to groups. We maintain that the pi-calculus affords a natural yet rigorous means by which groups that are significant to epistemic logic may be identified, encapsulated, structured into hierarchies, and restructured in a principled way. This paper is organized as follows: Section 2 introduces the pi-calculus; Section 3 takes a scenario from the classical paper on agent-oriented programming [Sh93] and translates it into a very simple subset of the n-calculus; Section 4 then shows how more sophisticated features of the pi-calculus may bc brought into play; Section 5 discusses how the pi-calculus may be used to define groups for epistemic logic; and Section 6 is the conclusion.

  3. Multi-agent and complex systems

    CERN Document Server

    Ren, Fenghui; Fujita, Katsuhide; Zhang, Minjie; Ito, Takayuki

    2017-01-01

    This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches.

  4. E pluribus unum: macroeconomic modelling for multi-agent economies

    NARCIS (Netherlands)

    Assenza, T.; Delli Gatti, D.

    2013-01-01

    From the macroeconomist's viewpoint, agent based modelling has an obvious drawback: it makes impossible to think in aggregate terms. The modeller, in fact, can reconstruct aggregate variables only "from the bottom up" by summing the levels of a myriad of individual variables. We propose a modelling

  5. Multi-Agent Modeling and Simulation Approach for Design and Analysis of MER Mission Operations

    Science.gov (United States)

    Seah, Chin; Sierhuis, Maarten; Clancey, William J.

    2005-01-01

    A space mission operations system is a complex network of human organizations, information and deep-space network systems and spacecraft hardware. As in other organizations, one of the problems in mission operations is managing the relationship of the mission information systems related to how people actually work (practices). Brahms, a multi-agent modeling and simulation tool, was used to model and simulate NASA's Mars Exploration Rover (MER) mission work practice. The objective was to investigate the value of work practice modeling for mission operations design. From spring 2002 until winter 2003, a Brahms modeler participated in mission systems design sessions and operations testing for the MER mission held at Jet Propulsion Laboratory (JPL). He observed how designers interacted with the Brahms tool. This paper discussed mission system designers' reactions to the simulation output during model validation and the presentation of generated work procedures. This project spurred JPL's interest in the Brahms model, but it was never included as part of the formal mission design process. We discuss why this occurred. Subsequently, we used the MER model to develop a future mission operations concept. Team members were reluctant to use the MER model, even though it appeared to be highly relevant to their effort. We describe some of the tool issues we encountered.

  6. E pluribus unum: macroeconomic modelling for multi-agent economies

    NARCIS (Netherlands)

    T. Assenza; D. Delli Gatti

    2012-01-01

    From the point of view of the average macroeconomist, agent based modelling has an obivious drawback: It makes impossible to think in aggregate terms. The modeller, in fact, can reconstruct aggregate variables only "from the bottom up" by summing the individual quantities. As a consequence the inter

  7. Modeling Multi-Agent Self-Organization through the Lens of Higher Order Attractor Dynamics.

    Science.gov (United States)

    Butner, Jonathan E; Wiltshire, Travis J; Munion, A K

    2017-01-01

    Social interaction occurs across many time scales and varying numbers of agents; from one-on-one to large-scale coordination in organizations, crowds, cities, and colonies. These contexts, are characterized by emergent self-organization that implies higher order coordinated patterns occurring over time that are not due to the actions of any particular agents, but rather due to the collective ordering that occurs from the interactions of the agents. Extant research to understand these social coordination dynamics (SCD) has primarily examined dyadic contexts performing rhythmic tasks. To advance this area of study, we elaborate on attractor dynamics, our ability to depict them visually, and quantitatively model them. Primarily, we combine difference/differential equation modeling with mixture modeling as a way to infer the underlying topological features of the data, which can be described in terms of attractor dynamic patterns. The advantage of this approach is that we are able to quantify the self-organized dynamics that agents exhibit, link these dynamics back to activity from individual agents, and relate it to other variables central to understanding the coordinative functionality of a system's behavior. We present four examples that differ in the number of variables used to depict the attractor dynamics (1, 2, and 6) and range from simulated to non-simulated data sources. We demonstrate that this is a flexible method that advances scientific study of SCD in a variety of multi-agent systems.

  8. Tutoring and Multi-Agent Systems: Modeling from Experiences

    Science.gov (United States)

    Bennane, Abdellah

    2010-01-01

    Tutoring systems become complex and are offering varieties of pedagogical software as course modules, exercises, simulators, systems online or offline, for single user or multi-user. This complexity motivates new forms and approaches to the design and the modelling. Studies and research in this field introduce emergent concepts that allow the…

  9. A Formal Method to Model Early Requirement of Multi-Agent System

    Institute of Scientific and Technical Information of China (English)

    MAO Xin-jun; YU Eric

    2004-01-01

    A formal specification language iFL based on i* framework is presented in this paper to formally specify and analyze the early requirement of multi-agent system. It is a branching temporal logic which defines the concepts and models in i* framework in a rigorous way. The method to transform the i* models to iFL formal specification is also put forward.

  10. Towards Symbolic Model Checking for Multi-Agent Systems via OBDDs

    Science.gov (United States)

    Raimondi, Franco; Lomunscio, Alessio

    2004-01-01

    We present an algorithm for model checking temporal-epistemic properties of multi-agent systems, expressed in the formalism of interpreted systems. We first introduce a technique for the translation of interpreted systems into boolean formulae, and then present a model-checking algorithm based on this translation. The algorithm is based on OBDD's, as they offer a compact and efficient representation for boolean formulae.

  11. The Multi-Agent Modeling and Calculated Analysis of Shop Logistics Scheduling in the Manufacturing Enterprises

    Institute of Scientific and Technical Information of China (English)

    CHEN Yong; LIN Feilong; WANG Xiao; TANG Kefeng

    2006-01-01

    In this paper, the multi-agent model about shop logistics is set up. This model has 8 agents: raw materials stock agent, process agent, testing agent, transition agent, production information agent, scheduling agent, process agent and stock agent. The scheduling agent has three subagents: manager agent (MA), resource agent (RA) and part agent (PA). MA, PA and RA are communicating equally that guarantees agility of the whole MAS system. The part tasks pass between MA, RA and PA as an integer, which can guarantee the consistency of the data. We use a detailed example about shop logistics scheduling in a semiconductor company to explain the principle. In this example, we use two scheduling strategies:FCFS and SPT. The result data indicates that the average flow time and lingering ratio are changed using different strategy. It is proves that the multi-agent scheduling is useful.

  12. TRUST AND REPUTATION MODEL DESIGN FOR OBJECTS OF MULTI-AGENT ROBOTICS SYSTEMS WITH DECENTRALIZED CONTROL

    Directory of Open Access Journals (Sweden)

    I. A. Zikratov

    2014-03-01

    Full Text Available The problem of mechanisms design for protection of multi-agent robotics systems from attacks of robots-saboteurs is considered. Functioning analysis of these systems with decentralized control is carried out. The type of the so-called soft attacks using interception of messages, misinformation formation and transmission to group of robots which are also realizing other actions without identified signs of invasion of robots-saboteurs. Analysis of existing information security models of the system based on the trust level computation, calculated in the process of agents’ interaction is carried out. Information security model is offered in which robots-agents produce the trust levels to each other on the basis of situation analysis emerging on a certain step of iterative algorithm with usage of onboard sensor devices. On the basis of calculated trust levels, recognition of “saboteur” objects in the group of legitimate robots-agents is done. For measure of likeness (adjacency increase for objects from the same category (“saboteur” or “legitimate agent”, calculation algorithm for agents reputation is offered as a measure of public opinion about qualities of this or that agent-subject. Implementation alternatives of the algorithms for detection of saboteurs on the example of the basic algorithm for distribution of purposes in the group of robots are considered.

  13. [Research on multi-agent based modeling and simulation of hospital system].

    Science.gov (United States)

    Zhao, Junping; Yang, Hongqiao; Guo, Huayuan; Li, Yi; Zhang, Zhenjiang; Li, Shuzhang

    2010-12-01

    In this paper, the theory of complex adaptive system (CAS) and its modeling method are introduced. The complex characters of the hospital system is analyzed. The agile manufacturing and cell reconstruction technologies are used to reconstruct the hospital system. Then we set forth a research for simulation of hospital system based on the methodology of Multi-Agent technology and high level architecture (HLA). Finally, a simulation framework based on HLA for hospital system is presented.

  14. Environmental implications of rural policies in China: a multi-agent model at the level of agricultural households

    NARCIS (Netherlands)

    Yang, S.; Qu, Hong Juan; Luan, S.; Kroeze, C.

    2014-01-01

    We analyzed the socioeconomic and environmental changes in rural China from the perspective of agricultural households and developed a multi-agent agricultural household model for rural environmental management (MAREM). The MAREM model consists of four submodules: the agricultural household

  15. Integrating UML, the Q-model and a Multi-Agent Approach in Process Specifications and Behavioural Models of Organisations

    Directory of Open Access Journals (Sweden)

    Raul Savimaa

    2005-08-01

    Full Text Available Efficient estimation and representation of an organisation's behaviour requires specification of business processes and modelling of actors' behaviour. Therefore the existing classical approaches that concentrate only on planned processes are not suitable and an approach that integrates process specifications with behavioural models of actors should be used instead. The present research indicates that a suitable approach should be based on interactive computing. This paper examines the integration of UML diagrams for process specifications, the Q-model specifications for modelling timing criteria of existing and planned processes and a multi-agent approach for simulating non-deterministic behaviour of human actors in an organisation. The corresponding original methodology is introduced and some of its applications as case studies are reviewed.

  16. Computational energetic model of morphogenesis based on multi-agent Cellular Potts Model.

    Science.gov (United States)

    Tripodi, Sébastien; Ballet, Pascal; Rodin, Vincent

    2010-01-01

    The Cellular Potts Model (CPM) is a cellular automaton (CA), developed by Glazier and Graner in 1992, to model the morphogenesis. In this model, the entities are the cells. It has already been improved in many ways; however, a key point in biological systems, not defined in CPM, is energetic exchange between entities. We integrate this energetic concept inside the CPM. We simulate a cell differentiation inside a growing cell tissue. The results are the emergence of dynamic patterns coming from the consumption and production of energy. A model described by CA is less scalable than one described by a multi-agent system (MAS). We have developed a MAS based on the CPM, where a cell agent is implemented from the cell of CPM together with several behaviours, in particular the consumption and production of energy from the consumption of molecules.

  17. Semantic network mapping of religious material: testing multi-agent computer models of social theories against real-world data.

    Science.gov (United States)

    Lane, Justin E

    2015-11-01

    Agent-based modeling allows researchers to investigate theories of complex social phenomena and subsequently use the model to generate new hypotheses that can then be compared to real-world data. However, computer modeling has been underutilized in regard to the understanding of religious systems, which often require very complex theories with multiple interacting variables (Braxton et al. in Method Theory Study Relig 24(3):267-290, 2012. doi: 10.1163/157006812X635709 ; Lane in J Cogn Sci Relig 1(2):161-180, 2013). This paper presents an example of how computer modeling can be used to explore, test, and further understand religious systems, specifically looking at one prominent theory of religious ritual. The process is continuous: theory building, hypothesis generation, testing against real-world data, and improving the model. In this example, the output of an agent-based model of religious behavior is compared against real-world religious sermons and texts using semantic network analysis. It finds that most religious materials exhibit unique scale-free small-world properties and that a concept's centrality in a religious schema best predicts its frequency of presentation. These results reveal that there adjustments need to be made to existing models of religious ritual systems and provide parameters for future models. The paper ends with a discussion of implications for a new multi-agent model of doctrinal ritual behaviors as well as propositions for further interdisciplinary research concerning the multi-agent modeling of religious ritual behaviors.

  18. Distributed Learning, Extremum Seeking, and Model-Free Optimization for the Resilient Coordination of Multi-Agent Adversarial Groups

    Science.gov (United States)

    2016-09-07

    AFRL-AFOSR-VA-TR-2016-0314 Distributed learning , extremum seeking, and model-free optimization for the resilient coordination of multi-agent...Jun-2016 4. TITLE AND SUBTITLE Distributed learning , extremum seeking, and model-free optimization for the resilient coordination of multi-agent...and 2) the use of extremum seeking (ES) techniques to learn Nash equilibria in finitely- and infinitely-many player noncooperative games and to solve

  19. Modeling of a production system using the multi-agent approach

    Science.gov (United States)

    Gwiazda, A.; Sękala, A.; Banaś, W.

    2017-08-01

    The method that allows for the analysis of complex systems is a multi-agent simulation. The multi-agent simulation (Agent-based modeling and simulation - ABMS) is modeling of complex systems consisting of independent agents. In the case of the model of the production system agents may be manufactured pieces set apart from other types of agents like machine tools, conveyors or replacements stands. Agents are magazines and buffers. More generally speaking, the agents in the model can be single individuals, but you can also be defined as agents of collective entities. They are allowed hierarchical structures. It means that a single agent could belong to a certain class. Depending on the needs of the agent may also be a natural or physical resource. From a technical point of view, the agent is a bundle of data and rules describing its behavior in different situations. Agents can be autonomous or non-autonomous in making the decision about the types of classes of agents, class sizes and types of connections between elements of the system. Multi-agent modeling is a very flexible technique for modeling and model creating in the convention that could be adapted to any research problem analyzed from different points of views. One of the major problems associated with the organization of production is the spatial organization of the production process. Secondly, it is important to include the optimal scheduling. For this purpose use can approach multi-purposeful. In this regard, the model of the production process will refer to the design and scheduling of production space for four different elements. The program system was developed in the environment NetLogo. It was also used elements of artificial intelligence. The main agent represents the manufactured pieces that, according to previously assumed rules, generate the technological route and allow preprint the schedule of that line. Machine lines, reorientation stands, conveyors and transport devices also represent the

  20. Software Cost Estimation Model Based on Integration of Multi-agent and Case-Based Reasoning

    Directory of Open Access Journals (Sweden)

    Hasan Al-Sakran

    2006-01-01

    Full Text Available Accurate software cost estimation is a vital task that affects the firm's software investment decisions before committing required resources to that project or bidding for a contract. This study proposes an improved Case-Based Reasoning (CBR approach integrated with multi-agent technology to retrieve similar projects from multi-organizational distributed datasets. The study explores the possibility of building a software cost estimation model by collecting software cost data from distributed predefined project cost databases. The model applying CBR method to find similar projects in historical data derived from measured software projects developed by different organizations.

  1. TRUST MODEL FOR INFORMATION SECURITY OF MULTI-AGENT ROBOTIC SYSTEMS WITH A DECENTRALIZED MANAGEMENT

    Directory of Open Access Journals (Sweden)

    I. A. Zikratov

    2014-03-01

    Full Text Available The paper deals with the issues on protection of multi-agent robotic systems against attacks by robots-saboteurs. The operation analysis of such systems with decentralized control is carried out. Concept of harmful information impact (attack from a robot-saboteur to the multi-agent robotic system is given. The class of attacks is considered using interception of messages, formation and transfer of misinformation to group of robots, and also carrying out other actions with vulnerabilities of multiagent algorithms without obviously identified signs of invasion of robots-saboteurs. The model of information security is developed, in which robots-agents work out trust levels to each other analyzing the events occurring in the system. The idea of trust model consists in the analysis of transferred information by each robot and the executed actions of other members in a group, comparison of chosen decision on iteration step k with objective function of the group. Distinctive feature of the trust model in comparison with the closest analogue - Buddy Security Model in which the exchange between the agents security tokens is done — is involvement of the time factor during which agents have to "prove" by their actions the usefulness in achievement of a common goal to members of the group. Variants of this model realization and ways of an assessment of trust levels for agents in view of the security policy accepted in the group are proposed.

  2. Development of Simulation System for the Disaster Evacuation Based on Multi-Agent Model Using GIS

    Institute of Scientific and Technical Information of China (English)

    Keisuke Uno; Kazuo Kashitama

    2008-01-01

    This paper presents a simulation system for the disaster evacuation based on multi-agent model considering geographical information. This system consists of three parts, the modeling for the land and buildings using GIS data, the analysis of disaster evacuation using multi-agent model, and the visualization for the numerical results using the virtual reality technique. By introducing the numerical solver of the natural disaster to the present system, it is possible to evaluate not only the damage of structure but also the dam- age of human being. Furthermore, it is possible to investigate the appropriate evacuation route by the simu- lation. The Dijkstra algorithm is used to obtain shortest route to the refuge. In addition, the visualization us- ing virtual reality technique is curried out to understand the feeling of refugee. The present system is applied to the evacuation analysis by the flood flow in urban area and is shown to be a useful tool to investigate the damage by natural disasters.

  3. PERFORMANCE EVALUATION FOR DAMPING CONTROLLERS OF POWER SYSTEMS BASED ON MULTI-AGENT MODELS

    Institute of Scientific and Technical Information of China (English)

    Ancheng XUE; Yiguang HONG

    2009-01-01

    This paper proposes a multi-layer multi-agent model for the performance evaluation of power systems, which is different from the existing multi-agent ones. To describe the impact of the structure of the networked power system, .the proposed model consists of three kinds of agents that form three layers: control agents such as the generators and associated controllers, information agents to exchange the information based on the wide area measurement system (WAMS) or transmit control signals to the power system stabilizers (PSSs), and network-node agents such as the generation nodes and load nodes connected with transmission lines. An optimal index is presented to evaluate the performance of damping controllers to the system's inter-area oscillation with respect to the information-layer topology.Then, the authors show that the inter-area information exchange is more powerful than the exchange within a given area to control the inter-area low frequency oscillation based on simulation analysis.

  4. Ontological Model-Based Transparent Access To Information In A Medical Multi-Agent System

    Directory of Open Access Journals (Sweden)

    Felicia GÎZĂ-BELCIUG

    2012-01-01

    Full Text Available Getting the full electronic medical record of a patient is an important step in providing a quality medical service. But the degree of heterogeneity of data from health unit informational systems is very high, because each unit can have a different model for storing patients’ medical data. In order to achieve the interoperability and integration of data from various medical units that store partial patient medical information, this paper proposes a multi-agent systems and ontology based approach. Therefore, we present an ontological model for describing the particular structure of the data integration process. The system is to be used for centralizing the information from a patient’s partial medical records. The main advantage of the proposed model is the low ratio between the complexity of the model and the amount of information that can be retrieved in order to generate the complete medical history of a patient.

  5. Personalised learning object based on multi-agent model and learners’ learning styles

    Directory of Open Access Journals (Sweden)

    Noppamas Pukkhem

    2011-09-01

    Full Text Available A multi-agent model is proposed in which learning styles and a word analysis technique to create a learning object recommendation system are used. On the basis of a learning style-based design, a concept map combination model is proposed to filter out unsuitable learning concepts from a given course. Our learner model classifies learners into eight styles and implements compatible computational methods consisting of three recommendations: i non-personalised, ii preferred feature-based, and iii neighbour-based collaborative filtering. The analysis of preference error (PE was performed by comparing the actual preferred learning object with the predicted one. In our experiments, the feature-based recommendation algorithm has the fewest PE.

  6. A three-dimensional multi-agent-based model for the evolution of Chagas' disease.

    Science.gov (United States)

    Galvão, Viviane; Miranda, José Garcia Vivas

    2010-06-01

    A better understanding of Chagas' disease is important because the knowledge about the progression and the participation of the different types of cells in this disease are still lacking. To clarify this system, the kinetics of inflammatory cells and parasite nests was shown in an experiment. Using this experimental data, we have developed a three-dimensional multi-agent-based computational model for the evolution of Chagas' disease. Our model includes five different types of agents: inflammatory cell, fibrosis, cardiomyocyte, fibroblast, and Trypanosoma cruzi. Fibrosis is fixed and the other types of agents can move through the empty space. They move randomly by using the Moore neighborhood. This model reproduces the acute and chronic phases of Chagas' disease and the volume occupied by all different types of cells in the cardiac tissue.

  7. Designing across ages: Multi-agent-based models and learning electricity

    Science.gov (United States)

    Sengupta, Pratim

    Electricity is regarded as one of the most challenging topics for students at all levels -- middle school -- college (Cohen, Eylon, & Ganiel, 1983; Belcher & Olbert, 2003; Eylon & Ganiel, 1990; Steinberg et al., 1985). Several researchers have suggested that naive misconceptions about electricity stem from a deep incommensurability (Slotta & Chi, 2006; Chi, 2005) or incompatibility (Chi, Slotta & Leauw, 1994; Reiner, Slotta, Chi, & Resnick, 2000) between naive and expert knowledge structures. I first present an alternative theoretical framework that adopts an emergent levels-based perspective as proposed by Wilensky & Resnick (1999). From this perspective, macro-level phenomena such as electric current and resistance, as well as behavior of linear electric circuits, can be conceived of as emergent from simple, body-syntonic interactions between electrons and ions in a circuit. I argue that adopting such a perspective enables us to reconceive commonly noted misconceptions in electricity as behavioral evidences of "slippage between levels" -- i.e., these misconceptions appear when otherwise productive knowledge elements are sometimes inappropriately activated due to certain macro-level phenomenological cues only -- and, that the same knowledge elements when activated due to phenomenological cues at both micro- and macro-levels, can engender a deeper, expert-like understanding. I will then introduce NIELS (NetLogo Investigations In Electromagnetism, Sengupta & Wilensky, 2006, 2008, 2009), a low-threshold high-ceiling (LTHC) learning environment of multi-agent-based computational models that represent phenomena such as electric current and resistance, as well as the behavior of linear electric circuits, as emergent. I also present results from implementations of NIELS in 5th, 7th and 12th grade classrooms that show the following: (a) how leveraging certain "design elements" over others in NIELS models can create new phenomenological cues, which in turn can be

  8. An adaptive scheduling model for a multi-agent based VEPR data collection actions.

    Science.gov (United States)

    Vieira-Marques, Pedro; Jácome, Jorge; Hilário-Patriarca, José; Cruz-Correia, Ricardo

    2015-01-01

    With the purpose of improving the access to departmental legacy information systems, a multi agent based Virtual Electronic Patient Record (VEPR) was deployed at a major Portuguese Hospital. The agent module (MAID) is in charge of identifying new data produced (reports), collecting and making it available through an integrated web interface. The deployed MAID system uses a static interval for checking the existence of new data, however from the gathered data regarding each department data production it is observable a variable rate throughout the day. In order to address this variability an adaptive model was developed and tested in a simulated environment with real data. The model takes in consideration the past report production profiles for determining a variable query frequency in order to reduce the average time to make data available minimizing the number of departmental requests.

  9. An Advanced Flaw-Response Modelling Approach for Inspection Qualification Using a Multi-Agent System Software Platform

    Science.gov (United States)

    McKenna, James P.; McLean, Neil; Gachagan, Anthony; McArthur, Stephen D. J.; Hayward, Gordon

    2008-02-01

    This paper describes the application of a Multi-Agent System used in the design and qualification of ultrasonic NDT inspections using theoretical ultrasonic flaw-response modelling. When a large number of models are available the selection of the most appropriate one for a given inspection scenario becomes time-consuming; the disparate nature of the software models prevents easy integration with other NDT software tools to automate this process. A prototype Inspection Qualification Multi-Agent System has been developed which incorporates a rule-based software system to perform the flaw-response model selection procedure.

  10. A novel model and behavior analysis for a swarm of multi-agent systems with finite velocity

    Science.gov (United States)

    Wang, Liang-Shun; Wu, Zhi-Hai

    2014-09-01

    Inspired by the fact that in most existing swarm models of multi-agent systems the velocity of an agent can be infinite, which is not in accordance with the real applications, we propose a novel swarm model of multi-agent systems where the velocity of an agent is finite. The Lyapunov function method and LaSalle's invariance principle are employed to show that by using the proposed model all of the agents eventually enter into a bounded region around the swarm center and finally tend to a stationary state. Numerical simulations are provided to demonstrate the effectiveness of the theoretical results.

  11. Multi-agent simulation of competitive electricity markets: Autonomous systems cooperation for European market modeling

    DEFF Research Database (Denmark)

    Santos, Gabriel; Pinto, Tiago; Morais, Hugo

    2015-01-01

    , respecting to the reality of different countries. This integration is done through the development of an upper ontology which integrates the essential concepts necessary to interpret all the available information. The continuous development of Multi-Agent System for Competitive Electricity Markets platform......The electricity market restructuring, and its worldwide evolution into regional and even continental scales, along with the increasing necessity for an adequate integration of renewable energy sources, is resulting in a rising complexity in power systems operation. Several power system simulators...... have been developed in recent years with the purpose of helping operators, regulators, and involved players to understand and deal with this complex and constantly changing environment. The main contribution of this paper is given by the integration of several electricity market and power system models...

  12. A Cross-Cultural Multi-agent Model of Opportunism in Trade

    Science.gov (United States)

    Hofstede, Gert Jan; Jonker, Catholijn M.; Verwaart, Tim

    According to transaction cost economics, contracts are always incomplete and offer opportunities to defect. Some level of trust is a sine qua non for trade. If the seller is better informed about product quality than the buyer, the buyer has to rely on information the seller provides or has to check the information by testing the product or tracing the supply chain processes, thus incurring extra transaction cost. An opportunistic seller who assumes the buyer to trust, may deliver a lower quality product than agreed upon. In human decisions to deceive and to show trust or distrust, issues like mutual expectations, shame, self-esteem, personality, and reputation are involved. These factors depend in part on traders' cultural background. This paper proposes an agent model of deceit and trust and describes a multi-agent simulation where trading agents are differentiated according to Hofstede's dimensions of national culture. Simulations of USA and Dutch trading situations are compared.

  13. Reference model based consensus control of second-order multi-agent systems

    Institute of Scientific and Technical Information of China (English)

    Li Jian-Zhen

    2011-01-01

    This paper deals with the consensus problem of multi-agent systems with second-order dynamics. The objective is to design algorithms such that all agents will have same positions and velocities. First, a reference model based consensus algorithm is proposed. It is proved that the consensus can be achieved if the communication graph has a spanning tree. Different from most of the consensus algorithms proposed in the literature, the parameters of the control laws are different among agents. Therefore, each agent can design its control law independently. Secondly, it gives a consensus algorithm for the case that the velocities of the agents are not available. Thirdly, the effectiveness of the input delay and the communication delay is considered. It shows that consensus can be achieved if the input delay of every agent is smaller than a bound related to parameters in its control law. Finally, some numerical examples are given to illustrate the proposed results.

  14. The value of information in a multi-agent market model. The luck of the uninformed

    Science.gov (United States)

    Tóth, B.; Scalas, E.; Huber, J.; Kirchler, M.

    2007-01-01

    We present an experimental and simulated model of a multi-agent stock market driven by a double auction order matching mechanism. Studying the effect of cumulative information on the performance of traders, we find a non monotonic relationship of net returns of traders as a function of information levels, both in the experiments and in the simulations. Particularly, averagely informed traders perform worse than the non informed and only traders with high levels of information (insiders) are able to beat the market. The simulations and the experiments reproduce many stylized facts of tick-by-tick stock-exchange data, such as fast decay of autocorrelation of returns, volatility clustering and fat-tailed distribution of returns. These results have an important message for everyday life. They can give a possible explanation why, on average, professional fund managers perform worse than the market index.

  15. Multi-Agent Based Agile (XP) Software Development Process Scheduling Model

    National Research Council Canada - National Science Library

    Y M Malgwi; N V Blamah

    2015-01-01

    .... In such changing environment agile development methodology is suited. In this paper, a multi-agent based approach to process scheduling was adopted, where each activity is viewed as an autonomous and flexible agent process...

  16. Ontology-based multi-agent systems

    Energy Technology Data Exchange (ETDEWEB)

    Hadzic, Maja; Wongthongtham, Pornpit; Dillon, Tharam; Chang, Elizabeth [Digital Ecosystems and Business Intelligence Institute, Perth, WA (Australia)

    2009-07-01

    The Semantic web has given a great deal of impetus to the development of ontologies and multi-agent systems. Several books have appeared which discuss the development of ontologies or of multi-agent systems separately on their own. The growing interaction between agents and ontologies has highlighted the need for integrated development of these. This book is unique in being the first to provide an integrated treatment of the modeling, design and implementation of such combined ontology/multi-agent systems. It provides clear exposition of this integrated modeling and design methodology. It further illustrates this with two detailed case studies in (a) the biomedical area and (b) the software engineering area. The book is, therefore, of interest to researchers, graduate students and practitioners in the semantic web and web science area. (orig.)

  17. Analysis of the Pricing Process in Electricity Market using Multi-Agent Model

    Science.gov (United States)

    Shimomura, Takahiro; Saisho, Yuichi; Fujii, Yasumasa; Yamaji, Kenji

    Many electric utilities world-wide have been forced to change their ways of doing business, from vertically integrated mechanisms to open market systems. We are facing urgent issues about how we design the structures of power market systems. In order to settle down these issues, many studies have been made with market models of various characteristics and regulations. The goal of modeling analysis is to enrich our understanding of fundamental process that may appear. However, there are many kinds of modeling methods. Each has drawback and advantage about validity and versatility. This paper presents two kinds of methods to construct multi-agent market models. One is based on game theory and another is based on reinforcement learning. By comparing the results of the two methods, they can advance in validity and help us figure out potential problems in electricity markets which have oligopolistic generators, demand fluctuation and inelastic demand. Moreover, this model based on reinforcement learning enables us to consider characteristics peculiar to electricity markets which have plant unit characteristics, seasonable and hourly demand fluctuation, real-time regulation market and operating reserve market. This model figures out importance of the share of peak-load-plants and the way of designing operating reserve market.

  18. Performance-Based Design for Large Crowd Venue Control Using a Multi-Agent Model

    Institute of Scientific and Technical Information of China (English)

    ZHANG Qingsong; ZHAO Guomin; LIU Jinlan

    2009-01-01

    Performance-based design is more holistic and flexible than prescriptive design for providing safety in large complex buildings. Here, a multi-agent method to model the egress pattems of evacuees is combined with a microscopic pedestrian simulation model used to analyze the forces between individuals in a densely populated enclosed space in a crowd crushing and trampling analysis (CroC&Ts). The system is used to model egress pattems in a typical crowd evacuation simulation. The simulations indicate that some individuals will die from crushing in 2 m and 4 m wide exits in emergencies. The simulations also show that the fatality probability increases when barriers obstacled the path and when the egress distances were lar-ger. The simulations validate the conclusions of the stranded crowd model (SCM) and provide quantitative predictions of the crowd crushing and trampling risk. Therefore, the CroC&Ts can provide performance-based egress designs for large pubic buildings and improve crowd safety management and emergency planning.

  19. Multi-agent Blind Model and Its Application to Regional Eco-environmental Quality Assessment

    Institute of Scientific and Technical Information of China (English)

    LI Ruzhong

    2006-01-01

    Through denoting each expert as an agent and viewing a multiple criteria decision-making as a synthesis problem of aggregating experts' ratings, a multi-agent blind model (MABM) is developed for regional ecoenvironmental quality assessment. In this model, the ratings of the evaluated object under an index, given by expert group, are first utilized to construct a series of blind numbers. In general, each index will correspond to different blind numbers. On the basis of aggregating index weights, the rank score in the form of a blind number is obtained for the evaluated object. Then, by means of calculating expected value of the above blind number, its rank score is further converted into a crisp value. By way of comparing the expected value with classification standards, eco-environmental quality of the evaluated sample could be identified successfully in the end. As a case, the MABM is used to evaluate the eco-environmental quality of Chaohu Lake basin. Study result shows that the MABM is a useful model for regional eco-environmental quality assessment.

  20. Output Containment Control of Linear Heterogeneous Multi-Agent Systems Using Internal Model Principle.

    Science.gov (United States)

    Zuo, Shan; Song, Yongduan; Lewis, Frank L; Davoudi, Ali

    2017-01-04

    This paper studies the output containment control of linear heterogeneous multi-agent systems, where the system dynamics and even the state dimensions can generally be different. Since the states can have different dimensions, standard results from state containment control do not apply. Therefore, the control objective is to guarantee the convergence of the output of each follower to the dynamic convex hull spanned by the outputs of leaders. This can be achieved by making certain output containment errors go to zero asymptotically. Based on this formulation, two different control protocols, namely, full-state feedback and static output-feedback, are designed based on internal model principles. Sufficient local conditions for the existence of the proposed control protocols are developed in terms of stabilizing the local followers' dynamics and satisfying a certain H∞ criterion. Unified design procedures to solve the proposed two control protocols are presented by formulation and solution of certain local state-feedback and static output-feedback problems, respectively. Numerical simulations are given to validate the proposed control protocols.

  1. Flexibility Support for Homecare Applications Based on Models and Multi-Agent Technology.

    Science.gov (United States)

    Armentia, Aintzane; Gangoiti, Unai; Priego, Rafael; Estévez, Elisabet; Marcos, Marga

    2015-12-17

    In developed countries, public health systems are under pressure due to the increasing percentage of population over 65. In this context, homecare based on ambient intelligence technology seems to be a suitable solution to allow elderly people to continue to enjoy the comforts of home and help optimize medical resources. Thus, current technological developments make it possible to build complex homecare applications that demand, among others, flexibility mechanisms for being able to evolve as context does (adaptability), as well as avoiding service disruptions in the case of node failure (availability). The solution proposed in this paper copes with these flexibility requirements through the whole life-cycle of the target applications: from design phase to runtime. The proposed domain modeling approach allows medical staff to design customized applications, taking into account the adaptability needs. It also guides software developers during system implementation. The application execution is managed by a multi-agent based middleware, making it possible to meet adaptation requirements, assuring at the same time the availability of the system even for stateful applications.

  2. Flexibility Support for Homecare Applications Based on Models and Multi-Agent Technology

    Directory of Open Access Journals (Sweden)

    Aintzane Armentia

    2015-12-01

    Full Text Available In developed countries, public health systems are under pressure due to the increasing percentage of population over 65. In this context, homecare based on ambient intelligence technology seems to be a suitable solution to allow elderly people to continue to enjoy the comforts of home and help optimize medical resources. Thus, current technological developments make it possible to build complex homecare applications that demand, among others, flexibility mechanisms for being able to evolve as context does (adaptability, as well as avoiding service disruptions in the case of node failure (availability. The solution proposed in this paper copes with these flexibility requirements through the whole life-cycle of the target applications: from design phase to runtime. The proposed domain modeling approach allows medical staff to design customized applications, taking into account the adaptability needs. It also guides software developers during system implementation. The application execution is managed by a multi-agent based middleware, making it possible to meet adaptation requirements, assuring at the same time the availability of the system even for stateful applications.

  3. MODEM: a multi-agent hierarchical structure to model the human motor control system.

    Science.gov (United States)

    Emadi Andani, Mehran; Bahrami, Fariba; Jabehdar Maralani, Parviz; Ijspeert, Auke Jan

    2009-12-01

    In this study, based on behavioral and neurophysiological facts, a new hierarchical multi-agent architecture is proposed to model the human motor control system. Performance of the proposed structure is investigated by simulating the control of sit to stand movement. To develop the model, concepts of mixture of experts, modular structure, and some aspects of equilibrium point hypothesis were brought together. We have called this architecture MODularized Experts Model (MODEM). Human motor system is modeled at the joint torque level and the role of the muscles has been embedded in the function of the joint compliance characteristics. The input to the motor system, i.e., the central command, is the reciprocal command. At the lower level, there are several experts to generate the central command to control the task according to the details of the movement. The number of experts depends on the task to be performed. At the higher level, a "gate selector" block selects the suitable subordinate expert considering the context of the task. Each expert consists of a main controller and a predictor as well as several auxiliary modules. The main controller of an expert learns to control the performance of a given task by generating appropriate central commands under given conditions and/or constraints. The auxiliary modules of this expert learn to scrutinize the generated central command by the main controller. Auxiliary modules increase their intervention to correct the central command if the movement error is increased due to an external disturbance. Each auxiliary module acts autonomously and can be interpreted as an agent. Each agent is responsible for one joint and, therefore, the number of the agents of each expert is equal to the number of joints. Our results indicate that this architecture is robust against external disturbances, signal-dependent noise in sensory information, and changes in the environment. We also discuss the neurophysiological and behavioral basis of

  4. Open Software Tools Applied to Jordan's National Multi-Agent Water Management Model

    Science.gov (United States)

    Knox, Stephen; Meier, Philipp; Harou, Julien; Yoon, Jim; Selby, Philip; Lachaut, Thibaut; Klassert, Christian; Avisse, Nicolas; Khadem, Majed; Tilmant, Amaury; Gorelick, Steven

    2016-04-01

    Jordan is the fourth most water scarce country in the world, where demand exceeds supply in a politically and demographically unstable context. The Jordan Water Project (JWP) aims to perform policy evaluation by modelling the hydrology, economics, and governance of Jordan's water resource system. The multidisciplinary nature of the project requires a modelling software system capable of integrating submodels from multiple disciplines into a single decision making process and communicating results to stakeholders. This requires a tool for building an integrated model and a system where diverse data sets can be managed and visualised. The integrated Jordan model is built using Pynsim, an open-source multi-agent simulation framework implemented in Python. Pynsim operates on network structures of nodes and links and supports institutional hierarchies, where an institution represents a grouping of nodes, links or other institutions. At each time step, code within each node, link and institution can executed independently, allowing for their fully autonomous behaviour. Additionally, engines (sub-models) perform actions over the entire network or on a subset of the network, such as taking a decision on a set of nodes. Pynsim is modular in design, allowing distinct modules to be modified easily without affecting others. Data management and visualisation is performed using Hydra (www.hydraplatform.org), an open software platform allowing users to manage network structure and data. The Hydra data manager connects to Pynsim, providing necessary input parameters for the integrated model. By providing a high-level portal to the model, Hydra removes a barrier between the users of the model (researchers, stakeholders, planners etc) and the model itself, allowing them to manage data, run the model and visualise results all through a single user interface. Pynsim's ability to represent institutional hierarchies, inter-network communication and the separation of node, link and

  5. Multi-agent modelling framework for water, energy and other resource networks

    Science.gov (United States)

    Knox, S.; Selby, P. D.; Meier, P.; Harou, J. J.; Yoon, J.; Lachaut, T.; Klassert, C. J. A.; Avisse, N.; Mohamed, K.; Tomlinson, J.; Khadem, M.; Tilmant, A.; Gorelick, S.

    2015-12-01

    Bespoke modelling tools are often needed when planning future engineered interventions in the context of various climate, socio-economic and geopolitical futures. Such tools can help improve system operating policies or assess infrastructure upgrades and their risks. A frequently used approach is to simulate and/or optimise the impact of interventions in engineered systems. Modelling complex infrastructure systems can involve incorporating multiple aspects into a single model, for example physical, economic and political. This presents the challenge of combining research from diverse areas into a single system effectively. We present the Pynsim 'Python Network Simulator' framework, a library for building simulation models capable of representing, the physical, institutional and economic aspects of an engineered resources system. Pynsim is an open source, object oriented code aiming to promote integration of different modelling processes through a single code library. We present two case studies that demonstrate important features of Pynsim's design. The first is a large interdisciplinary project of a national water system in the Middle East with modellers from fields including water resources, economics, hydrology and geography each considering different facets of a multi agent system. It includes: modelling water supply and demand for households and farms; a water tanker market with transfer of water between farms and households, and policy decisions made by government institutions at district, national and international level. This study demonstrates that a well-structured library of code can provide a hub for development and act as a catalyst for integrating models. The second focuses on optimising the location of new run-of-river hydropower plants. Using a multi-objective evolutionary algorithm, this study analyses different network configurations to identify the optimal placement of new power plants within a river network. This demonstrates that Pynsim can be

  6. Modeling multi-agent self-organization through the lens of higher order attractor dynamics

    DEFF Research Database (Denmark)

    Butner, Jonathan E.; Wiltshire, Travis; Munion, A.K.

    2017-01-01

    's behavior. We present four examples that differ in the number of variables used to depict the attractor dynamics (1, 2, and 6) and range from simulated to non-simulated data sources. We demonstrate that this is a flexible method that advances scientific study of SCD in a variety of multi-agent systems....... of attractor dynamic patterns. The advantage of this approach is that we are able to quantify the self-organized dynamics that agents exhibit, link these dynamics back to activity from individual agents, and relate it to other variables central to understanding the coordinative functionality of a system...

  7. Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration

    DEFF Research Database (Denmark)

    Hu, Junjie; Morais, Hugo; Zong, Yi

    2014-01-01

    and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level...... and they represent EV owners and operate the charging behaviour of EVs. To simulate this collaborative (all agents contribute to achieving an optimized global performance) but also competitive environment (each agent will try to increase its utilities or reduce its costs), a multi-agent platform was developed...

  8. Multi-Agent Application System Model Based on UML%UML与多Agent应用系统建模

    Institute of Scientific and Technical Information of China (English)

    孙华志

    2003-01-01

    In order to guarantee the quality and raising the reliability and maintainability of the system, we need to provide the support for designing the Agent-based software system. In view of the consistency of the Agent's conceptwith Object's, we analyze the thought of modeling on UML and then write this paper. This paper has made the help-ful attempt to build Multi-Agent application system model based on UML, involving the descriptions such as staticstructure and dynamic action. It lists the major steps and method about system modeling based on expanding UML,also.

  9. Research on e-commerce transaction networks using multi-agent modelling and open application programming interface

    Science.gov (United States)

    Piao, Chunhui; Han, Xufang; Wu, Harris

    2010-08-01

    We provide a formal definition of an e-commerce transaction network. Agent-based modelling is used to simulate e-commerce transaction networks. For real-world analysis, we studied the open application programming interfaces (APIs) from eBay and Taobao e-commerce websites and captured real transaction data. Pajek is used to visualise the agent relationships in the transaction network. We derived one-mode networks from the transaction network and analysed them using degree and betweenness centrality. Integrating multi-agent modelling, open APIs and social network analysis, we propose a new way to study large-scale e-commerce systems.

  10. Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a multi-agent-based software

    Directory of Open Access Journals (Sweden)

    Beslon Guillaume

    2005-09-01

    Full Text Available Abstract Background There is an increasing need for computer-generated models that can be used for explaining the emergence and predicting the behavior of multi-protein dynamic structures in cells. Multi-agent systems (MAS have been proposed as good candidates to achieve this goal. Results We have created 3DSpi, a multi-agent based software that we used to explore the generation of multi-protein dynamic structures. Being based on a very restricted set of parameters, it is perfectly suited for exploring the minimal set of rules needed to generate large multi-protein structures. It can therefore be used to test the hypothesis that such structures are formed and maintained by principles of self-organization. We observed that multi-protein structures emerge and that the system behavior is very robust, in terms of the number and size of the structures generated. Furthermore, the generated structures very closely mimic spatial organization of real life multi-protein structures. Conclusion The behavior of 3DSpi confirms the considerable potential of MAS for modeling subcellular structures. It demonstrates that robust multi-protein structures can emerge using a restricted set of parameters and allows the exploration of the dynamics of such structures. A number of easy-to-implement modifications should make 3DSpi the virtual simulator of choice for scientists wishing to explore how topology interacts with time, to regulate the function of interacting proteins in living cells.

  11. Multi-agents Based Modelling for Distribution Network Operation with Electric Vehicle Integration

    DEFF Research Database (Denmark)

    Hu, Junjie; Morais, Hugo; Zong, Yi

    2014-01-01

    Electric vehicles (EV) can become integral part of a smart grid because instead of just consuming power they are capable of providing valuable services to power systems. To integrate EVs smoothly into the power systems, a multi-agents system (MAS) with hierarchical organization structure...... is proposed in this paper. The proposed MAS system consists of three types of agents: distribution system operator agent (DSO agent), electric vehicle fleet operator agent (EV FO agent or alternatively called virtual power plant agent) and EV agent. A DSO agent belongs to the top level of the hierarchy...... and its role is to manage the distribution network safely by avoiding grid congestions and using congestion prices to coordinate the energy schedule of VPPs. VPP agents belong to the middle level and their roles are to manage the charge periods of the EVs. EV agents sit in the bottom level...

  12. Modeling and analysis of a simple manufacturing-oriented multi-agent system

    Directory of Open Access Journals (Sweden)

    P. Levi

    2000-01-01

    Full Text Available Due to the autonomy of individual agents and the use of the concept of distributed planning, multi-agent systems (MAS represent a promising approach to achieve fault-tolerant self-organizing manufacturing systems. In this article, a basic component of a manufacturing-oriented MAS is presented. The negotiation strategies are formulated in such a way that they, on the one hand, guarantee considerable flexibility of the basic component itself, and, on the other hand, enable the construction of more complex systems built up from several components. On the basis of this single component, it is shown that the dynamics of such systems without appropriate control mechanisms can be chaotic. Such behaviour is, however, unwanted in practice and must therefore be stabilized or avoided. In order to develop appropriate tools for this task, the dynamic behaviour of the system is investigated using concepts and methods of synergetics and the theory of nonlinear dynamical systems.

  13. 基于Z形式化规范的多Agent协作模型研究%A Multi-Agent Cooperation Model Based on Z Formal Specification

    Institute of Scientific and Technical Information of China (English)

    裴芳; 张洁; 郝丽波

    2012-01-01

    A formal specification language Z is used to define the basic elements in the Multi-Agent cooperation model, including the agent, the goal, the role, the interactive protocol and the process. Then, the authors present the consistent constraints that it must satisfy, and demonstrate with the logistics dispatch system of chain malls within the city region that the formal specification can support the consistency and continuity of the multi-Agent cooperation.%用形式化规范语言Z定义了多Agent协作模型的基本元素,包括:Agent、目标、角色、交互协议和过程,给出了应满足的一致性约束,并通过城市区域的连锁超市物流调度系统说明了该形式化规范为多Agent协作提供了一致性和连贯性.

  14. A Multi-Agent System for Intelligent Online Education.

    Science.gov (United States)

    O'Riordan, Colm; Griffith, Josephine

    1999-01-01

    Describes the system architecture of an intelligent Web-based education system that includes user modeling agents, information filtering agents for automatic information gathering, and the multi-agent interaction. Discusses information management; user interaction; support for collaborative peer-peer learning; implementation; testing; and future…

  15. MODELING OF INVESTMENT STRATEGIES IN STOCKS MARKETS: AN APPROACH FROM MULTI AGENT BASED SIMULATION AND FUZZY LOGIC

    Directory of Open Access Journals (Sweden)

    ALEJANDRO ESCOBAR

    2010-01-01

    Full Text Available This paper presents a simulation model of a complex system, in this case a financial market, using a MultiAgent Based Simulation approach. Such model takes into account microlevel aspects like the Continuous Double Auction mechanism, which is widely used within stock markets, as well as investor agents reasoning who participate looking for profits. To model such reasoning several variables were considered including general stocks information like profitability and volatility, but also some agent's aspects like their risk tendency. All these variables are incorporated throughout a fuzzy logic approach trying to represent in a faithful manner the kind of reasoning that nonexpert investors have, including a stochastic component in order to model human factors.

  16. Role Based Multi-Agent System for E-Learning (MASeL

    Directory of Open Access Journals (Sweden)

    Mustafa Hameed

    2016-03-01

    Full Text Available Software agents are autonomous entities that can interact intelligently with other agents as well as their environment in order to carry out a specific task. We have proposed a role-based multi-agent system for e-learning. This multi-agent system is based on Agent-Group-Role (AGR method. As a multi-agent system is distributed, ensuring correctness is an important issue. We have formally modeled our role-based multi-agent system. The correctness properties of liveness and safety are specified as well as verified. Timed-automata based model checker UPPAAL is used for the specification as well as verification of the e-learning system. This results in a formally specified and verified model of the role-based multi-agent system.

  17. The application of dynamic micro-simulation model of urban planning based on multi-agent system

    Science.gov (United States)

    Xu, J.; Shiming, W.

    2012-12-01

    The dynamic micro-simulation model of urban planning based on multi-agent, is mainly used to measure and predict the impact of the policy on urban land use, employment opportunities and the price of real estate. The representation of the supply and characteristics of land and of real estate development, at a spatial scale. The use of real estate markets as a central organizing focus, with consumer choices and supplier choices explicitly represented, as well as the resulting effects on real estate prices. The relationship of agents to real estate tied to specific locations provided a clean accounting of space and its use. Finally, it will produce a map composited with the dynamic demographic distribution and the dynamic employment transfer by the geographic spatial data. With the data produced by the urban micro-simulation model, it can provide the favorable forecast reference for the scientific urban land use.

  18. The Development of Multi-Agent System of State Estimation of Electric Power Systems Using Event Models

    Directory of Open Access Journals (Sweden)

    L. V. Massel

    2015-01-01

    Full Text Available The work objective is to offer a methodological approach to the development of multiagent systems (MAS in the energy sector. The agent approach is declared as an integral part of the Smart Grid concept (intelligent energy systems, but so far there is really neither methodological development and nor implementation in this area. The problem to estimate the states of electric power systems (EPS is one of the most important in the energy sector. Decentralization of calculations, when estimating the EPS states, allows reducing the host control center load and the amount of data transferred through the network.To achieve this aim were used the theory and methods for estimating the EPS state, artificial intelligence techniques, methods of object design and programming, multi-agent technologies, and algebraic Joiner-net network.The work analyses existing agent-based solutions, reveals their weaknesses, and proposes author's approach to MAS development in the energy sector, which includes 5 steps: 1 description of the future system, 2 construction and description of the agent-based scenarios, 3 MAS architecture development 4 MAS engineering design 5 MAS implementation.A novelty of the proposed approach lies in introduction of the agent interaction scenarios and application of Joiner-networks for scripting of scenarios. Agent-based scenarios allow nonprogrammers-experts to change the programme algorithm. A Joiner-network of the scenario consists of the functioning processes of agents (nodes, and the events that trigger or end the process. Output event of one process can be the input event for another.The operation algorithm of the EPS estimation system is developed. The first step is to provide decomposition of a nodalization diagram into the areas corresponding to the levels of node voltages. Then diagrams resulting from decomposition are distributed between the agents of EPS estimation and calculated in parallel. At the next stage, all diagrams are

  19. 基于DFL的多Agent时序推理模型研究%Research on Multi - agent Temporal Inference Model Based on Dynamic Fuzzy Logic

    Institute of Scientific and Technical Information of China (English)

    李凡长

    2001-01-01

    Theory and technology of agent, specialy theory and technology of multi - agent, for analyse and design and implement of distributed open system furnishes fresh evidence. So far, agent is divided into intelligence agent and multi- agent and agent oriented programming, which is depend on each other for existence. This paper's focal point is research structure of group organizations of multi- agent, and based on the dynamic fuzzy sets and dynamic fuzzy logic, the multi - agent temporal inference model and theory are proposed. By the research of this model theory, this paper has abundanted the content of multi- agent system theory.%Agent的理论、技术,特别是多Agent的理论、技术,为分布式开放系统的分析、设计和实现提供了一个崭新的途径。目前,对Agent的研究大致分为智能Agent、多Agent系统和面向Agent的程序设计。该文对多Agent系统的群体组织结构进行深入研究,基于DFL,给出多Agent时序推理模型理论,进一步丰富多Agent系统理论的研究内容。

  20. Multi-agent for manufacturing systems optimization

    Science.gov (United States)

    Ciortea, E. M.; Tulbure, A.; Huţanu, C.-tin

    2016-08-01

    The paper is meant to be a dynamic approach to optimize manufacturing systems based on multi-agent systems. Multi-agent systems are semiautonomous decision makers and cooperate to optimize the manufacturing process. Increasing production the capacity is achieved by developing, implementing efficient and effective systems from control based on current manufacturing process. The model multi-agent proposed in this paper is based on communication between agents who, based on their mechanisms drive to autonomous decision making. Methods based on multi-agent programming are applied between flexible manufacturing processes and cooperation with agents. Based on multi-agent technology and architecture of intelligent manufacturing can lead to development of strategies for control and optimization of scheduled production resulting from the simulation.

  1. Multi-agent simulation of the von Thunen model formation mechanism

    Science.gov (United States)

    Tao, Haiyan; Li, Xia; Chen, Xiaoxiang; Deng, Chengbin

    2008-10-01

    This research tries to explain the internal driving forces of circular structure formation in urban geography via the simulation of interaction between individual behavior and market. On the premise of single city center, unchanged scale merit and complete competition, enterprise migration theory as well, an R-D algorithm, that has agents searched the best behavior rules in some given locations, is introduced with agent-based modeling technique. The experiment conducts a simulation on Swarm platform, whose result reflects and replays the formation process of Von Thünen circular structure. Introducing and considering some heterogeneous factors, such as traffic roads, the research verifies several landuse models and discusses the self-adjustment function of price mechanism.

  2. MULTI AGENT COLLABORATIVE DESIGN SYSTEM MODEL BASED ON THE INTERNET AND EXPERIMENTS

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Development of complicated products is a project of system engineeringIt involves extensive and complicated knowledge,design meth ods and auxiliary technologyVarious factors affect each otherSo,modern produ ct development is a typical group problem with distributed and dynamic features It is apparent superiority to solve this problem with a multiagent system re presenting various knowledge domainsDistributed artificial intelligence knowle dge being used,the multiagent collaborative design system concept and model ba sed on Internet environment are put forwardThe realizing method of product developing agents,interactive process among multiagents,and organiz ation and implementing of the design project of the multiagent collaborative d esign system are discussed in detailApplication examples are also presented

  3. Multi-Agent Framework for Virtual Learning Spaces.

    Science.gov (United States)

    Sheremetov, Leonid; Nunez, Gustavo

    1999-01-01

    Discussion of computer-supported collaborative learning, distributed artificial intelligence, and intelligent tutoring systems focuses on the concept of agents, and describes a virtual learning environment that has a multi-agent system. Describes a model of interactions in collaborative learning and discusses agents for Web-based virtual…

  4. Modelling Implicit Communication in Multi-Agent Systems with Hybrid Input/Output Automata

    Directory of Open Access Journals (Sweden)

    Marta Capiluppi

    2012-10-01

    Full Text Available We propose an extension of Hybrid I/O Automata (HIOAs to model agent systems and their implicit communication through perturbation of the environment, like localization of objects or radio signals diffusion and detection. To this end we decided to specialize some variables of the HIOAs whose values are functions both of time and space. We call them world variables. Basically they are treated similarly to the other variables of HIOAs, but they have the function of representing the interaction of each automaton with the surrounding environment, hence they can be output, input or internal variables. Since these special variables have the role of simulating implicit communication, their dynamics are specified both in time and space, because they model the perturbations induced by the agent to the environment, and the perturbations of the environment as perceived by the agent. Parallel composition of world variables is slightly different from parallel composition of the other variables, since their signals are summed. The theory is illustrated through a simple example of agents systems.

  5. COLLISION AVOIDANCE DECISION- MAKING MODEL OF MULTI-AGENTS IN VIRTUAL DRIVING ENVIRONMENT WITH ANALYTIC HIERARCHY PROCESS

    Institute of Scientific and Technical Information of China (English)

    LU Hong; YI Guodong; TAN Jianrong; LIU Zhenyu

    2008-01-01

    Collision avoidance decision-making models of multiple agents in virtual driving environ- ment are studied. Based on the behavioral characteristics and hierarchical structure of the collision avoidance decision-making in real life driving, delphi approach and mathematical statistics method are introduced to construct pair-wise comparison judgment matrix of collision avoidance decision choices to each collision situation. Analytic hierarchy process (AHP) is adopted to establish the agents' collision avoidance decision-making model. To simulate drivers' characteristics, driver factors are added to categorize driving modes into impatient mode, normal mode, and the cautious mode. The results show that this model can simulate human's thinking process, and the agents in the virtual environment can deal with collision situations and make decisions to avoid collisions without intervention. The model can also reflect diversity and uncertainty of real life driving behaviors, and solves the multi-objective, multi-choice ranking priority problem in multi-vehicle collision scenarios. This collision avoidance model of multi-agents model is feasible and effective, and can provide richer and closer-to-life virtual scene for driving simulator, reflecting real-life traffic environment more truly, this model can also promote the practicality of driving simulator.

  6. Multi-agent fare optimization model of two modes problem and its analysis based on edge of chaos

    Science.gov (United States)

    Li, Xue-yan; Li, Xue-mei; Li, Xue-wei; Qiu, He-ting

    2017-03-01

    This paper proposes a new framework of fare optimization & game model for studying the competition between two travel modes (high speed railway and civil aviation) in which passengers' group behavior is taken into consideration. The small-world network is introduced to construct the multi-agent model of passengers' travel mode choice. The cumulative prospect theory is adopted to depict passengers' bounded rationality, the heterogeneity of passengers' reference point is depicted using the idea of group emotion computing. The conceptions of "Langton parameter" and "evolution entropy" in the theory of "edge of chaos" are introduced to create passengers' "decision coefficient" and "evolution entropy of travel mode choice" which are used to quantify passengers' group behavior. The numerical simulation and the analysis of passengers' behavior show that (1) the new model inherits the features of traditional model well and the idea of self-organizing traffic flow evolution fully embodies passengers' bounded rationality, (2) compared with the traditional model (logit model), when passengers are in the "edge of chaos" state, the total profit of the transportation system is higher.

  7. Periodic Behaviors in Constrained Multi-agent Systems

    OpenAIRE

    YANG Tao; Meng, Ziyang; Dimarogonas, Dimos V.; Johansson, Karl H.

    2014-01-01

    In this paper, we provide two discrete-time multi-agent models which generate periodic behaviors. The first one is a multi-agent system of identical double integrators with input saturation constraints, while the other one is a multi-agent system of identical neutrally stable system with input saturation constraints. In each case, we show that if the feedback gain parameters of the local controller satisfy a certain condition, the multi-agent system exhibits a periodic solution.

  8. Modelling and Simulating of Risk Behaviours in Virtual Environments Based on Multi-Agent and Fuzzy Logic

    Directory of Open Access Journals (Sweden)

    Linqin Cai

    2013-11-01

    Full Text Available Due to safety and ethical issues, traditional experimental approaches to modelling underground risk behaviours can be costly, dangerous and even impossible to realize. Based on multi-agent technology, a virtual coalmine platform for risk behaviour simulation is presented to model and simulate the human-machine- environment related risk factors in underground coalmines. To reveal mine workers’ risk behaviours, a fuzzy emotional behaviour model is proposed to simulate underground miners’ responding behaviours to potential hazardous events based on cognitive appraisal theories and fuzzy logic techniques. The proposed emotion model can generate more believable behaviours for virtual miners according to personalized emotion states, internal motivation needs and behaviour selection thresholds. Finally, typical accident cases of underground hazard spotting and locomotive transport were implemented. The behaviour believability of virtual miners was evaluated with a user assessment method. Experimental results show that the proposed models can create more realistic and reasonable behaviours in virtual coalmine environments, which can improve miners’ risk awareness and further train miners’ emergent decision-making ability when facing unexpected underground situations.

  9. A Computer Security Immunology System Model Based on Multi-Agent%一个基于Multi-Agent的计算机安全免疫系统模型

    Institute of Scientific and Technical Information of China (English)

    李欢; 梁意文; 曹霞; 汤远闲

    2001-01-01

    This paper presents a computer immunology system model,whose main components are defined according to the idea of Multi-Agent. Then the paper describes the structure and function of each agent. Also,the communication method between agents is described.

  10. A multi-agent quantum Monte Carlo model for charge transport: Application to organic field-effect transistors

    Energy Technology Data Exchange (ETDEWEB)

    Bauer, Thilo; Jäger, Christof M. [Department of Chemistry and Pharmacy, Computer-Chemistry-Center and Interdisciplinary Center for Molecular Materials, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen (Germany); Jordan, Meredith J. T. [School of Chemistry, University of Sydney, Sydney, NSW 2006 (Australia); Clark, Timothy, E-mail: tim.clark@fau.de [Department of Chemistry and Pharmacy, Computer-Chemistry-Center and Interdisciplinary Center for Molecular Materials, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nägelsbachstrasse 25, 91052 Erlangen (Germany); Centre for Molecular Design, University of Portsmouth, Portsmouth PO1 2DY (United Kingdom)

    2015-07-28

    We have developed a multi-agent quantum Monte Carlo model to describe the spatial dynamics of multiple majority charge carriers during conduction of electric current in the channel of organic field-effect transistors. The charge carriers are treated by a neglect of diatomic differential overlap Hamiltonian using a lattice of hydrogen-like basis functions. The local ionization energy and local electron affinity defined previously map the bulk structure of the transistor channel to external potentials for the simulations of electron- and hole-conduction, respectively. The model is designed without a specific charge-transport mechanism like hopping- or band-transport in mind and does not arbitrarily localize charge. An electrode model allows dynamic injection and depletion of charge carriers according to source-drain voltage. The field-effect is modeled by using the source-gate voltage in a Metropolis-like acceptance criterion. Although the current cannot be calculated because the simulations have no time axis, using the number of Monte Carlo moves as pseudo-time gives results that resemble experimental I/V curves.

  11. Multi-agent model-based historical cropland spatial pattern reconstruction for 1661-1952, Shandong Province, China

    Science.gov (United States)

    Yang, Xuhong; Jin, Xiaobin; Du, Xindong; Xiang, Xiaomin; Han, Juan; Shan, Wei; Fan, Yeting; Zhou, Yinkang

    2016-08-01

    To advance the research of global land use/cover change (LUCC), biodiversity, global carbon cycle, and other aspects of the earth system, it is essential to reconstruct changes in historical cropland cover with long time series and high-resolution grid. Currently, it is a general approach which is based on the view of combining the overall control of cropland area, selecting grid of high land suitability, and 'top-down' decision-making behaviors to reconstruct the historical cropland. Considering various factors that influenced cropland distribution, including behavioral agent's selection by itself and the limitation of nature and human factors, a spatiotemporal dynamical reconstruction model of historical cropland based on the multi-agent systems has been developed from the perspective of 'bottom-up', which combine macroscopic and microscopic decision-making behaviors of agents to simulate the government and farmer autonomously implementing the selection behaviors of farming area. Taking Shandong Province as the study area, this model was used to imitate its cropland spatiotemporal pattern with 1 km grid-resolution from 1661 combining the contemporary pattern and reconstructed amount of historical cropland as a maximum potential scope and control variable of reconstruction model, respectively, furthermore, followed the accuracy valuation and comparative analysis. The reconstructed results show that: 1) It is properly suitable for Multi-Agent to simulate and reconstruct the spatial distribution of historical cropland; 2) compared with historical map data sets (1930s) from the view of point to point, the correctly classified producer accuracy, user accuracy and overall accuracy of reconstructed result totally up to 59.09%, 80.62% and 62.31%, respectively, and shows our reconstruction map achieved a better agreement with the historical maps; 3) from the view of grid-level or county-level, our reconstruction approach can effectively keep away from the grid with

  12. Multi-agents modelling of EV purchase willingness based on questionaires

    DEFF Research Database (Denmark)

    Xue, Yusheng; Wu, Juai; Xie, Dongliang

    2015-01-01

    , multi-layer correlation information is extracted from a limited number of questionnaires. Multiagents mimicking the inquired potential customers are modelled through matching the probabilistic distributions of their willingness embedded in the questionnaires. The authenticity of both the model...

  13. A multi-agent cell-based model for wound contraction.

    Science.gov (United States)

    Boon, W M; Koppenol, D C; Vermolen, F J

    2016-05-24

    A mathematical model for wound contraction is presented. The model is based on a cell-based formalism where fibroblasts, myofibroblasts and the immune reaction are taken into account. The model is used to simulate contraction of a wound using point forces on the cell boundary and it also determines the orientation of collagen after restoration of the damage. The paper presents the mathematical model in terms of the equations and assumptions, as well as some implications of the modelling. The present model predicts that the amount of final contraction is larger if the migration velocity of the leukocytes is larger and hence it is important that the immune system functions well to prevent contractures. Further, the present model is the first cell-based model that combines the immune system to final contractions.

  14. Particle Swarm Social Adaptive Model for Multi-Agent Based Insurgency Warfare Simulation

    Energy Technology Data Exchange (ETDEWEB)

    Cui, Xiaohui [ORNL; Potok, Thomas E [ORNL

    2009-12-01

    To better understand insurgent activities and asymmetric warfare, a social adaptive model for modeling multiple insurgent groups attacking multiple military and civilian targets is proposed and investigated. This report presents a pilot study using the particle swarm modeling, a widely used non-linear optimal tool to model the emergence of insurgency campaign. The objective of this research is to apply the particle swarm metaphor as a model of insurgent social adaptation for the dynamically changing environment and to provide insight and understanding of insurgency warfare. Our results show that unified leadership, strategic planning, and effective communication between insurgent groups are not the necessary requirements for insurgents to efficiently attain their objective.

  15. Multi-agent-based modeling for extracting relevant association rules using a multi-criteria analysis approach

    Directory of Open Access Journals (Sweden)

    Addi Ait-Mlouk

    2016-06-01

    Full Text Available Abstract Recently, association rule mining plays a vital role in knowledge discovery in database. In fact, in most cases, the real datasets lead to a very large number of rules, which do not allow users to make their own selection of the most relevant. The difficult task is mining useful and non-redundant rules. Several approaches have been proposed, such as rule clustering, informative cover method and quality measurements. Another way to selecting relevant association rules, we believe that it is necessary to integrate a decisional approach within the knowledge discovery process. Therefore, in this paper, we propose an approach to discover a category of relevant association rules based on multi-criteria analysis. In other side, the general process of association rules extraction becomes more and more complex, to solve such problem, we also proposed a multi-agent system for modeling the different process of our proposed approach. Therefore, we conclude our work by an empirical study applied to a set of banking data to illustrate the performance of our approach.

  16. Research on image fusion of missile team based on multi-agent cooperative blackboard model

    Science.gov (United States)

    Sen, Guo; Munan, Li

    The target of cooperative engagement of missile teams is to furthest improve hit rate of target according to communication and cooperation among missiles. In this paper the problems of image fusion between missile teams in complex combat environment was analyzed, after which an muti-agent blackboard cooperative model was presented and a public information platform of missile team is built according to this model. Through these, the fusion of images taken from muti-sensor of missiles can be realized and the hit rate of attacking target will be improved. At last, an simulation experiment were performed, and the feasibility of the method is proved by simulation experiment.

  17. Distributed Model Predictive Control of the Multi-Agent Systems with Improving Control Performance

    Directory of Open Access Journals (Sweden)

    Wei Shanbi

    2012-01-01

    Full Text Available This paper addresses a distributed model predictive control (DMPC scheme for multiagent systems with improving control performance. In order to penalize the deviation of the computed state trajectory from the assumed state trajectory, the deviation punishment is involved in the local cost function of each agent. The closed-loop stability is guaranteed with a large weight for deviation punishment. However, this large weight leads to much loss of control performance. Hence, the time-varying compatibility constraints of each agent are designed to balance the closed-loop stability and the control performance, so that the closed-loop stability is achieved with a small weight for the deviation punishment. A numerical example is given to illustrate the effectiveness of the proposed scheme.

  18. A multi-agent system model to integrate Virtual Learning Environments and Intelligent Tutoring Systems

    Directory of Open Access Journals (Sweden)

    Giuffra P.

    2013-03-01

    Full Text Available Virtual learning environments (VLEs are used in distance learning and classroom teaching as teachers and students support tools in the teaching–learning process, where teachers can provide material, activities and assessments for students. However, this process is done in the same way for all the students, regardless of their differences in performance and behavior in the environment. The purpose of this work is to develop an agent-based intelligent learning environment model inspired by intelligent tutoring to provide adaptability to distributed VLEs, using Moodle as a case study and taking into account students’ performance on tasks and activities proposed by the teacher, as well as monitoring his/her study material access.

  19. A distributed substation automation model based on the multi-agents technology; Um modelo distribuido de automacao de subestacoes baseado em tecnologia multiagentes

    Energy Technology Data Exchange (ETDEWEB)

    Geus, Klaus de; Milsztajn, Flavio; Kolb, Carlos Jose Johann; Dometerco, Jose Henrique; Souza, Alexandre Mendonca de; Braga, Ciro de Carvalho; Parolin, Emerson Luis; Frisch, Arlenio Carneiro; Fortunato Junior, Luiz Kiss; Erzinger Junior, Augusto; Jonack, Marco Antonio; Guiera, Anderson Juliano Azambuja [Companhia Paranaense de Energia (COPEL), Curitiba, PR (Brazil)]. E-mail: klaus@copel.com; flaviomil@copel.com; kolb@copel.com; dometerc@copel.com; alexandre.mendonca@copel.com; ciro@copel.com; parolin@copel.com; arlenio@copel.com; luiz.kiss@copel.com; aerzinger@copel.com; jonack@copel.com; guiera@copel.com

    2006-10-15

    The main purpose of this paper is to analyse distributed computing technology which can be used in substation automation systems. Based on performance comparative results obtained in laboratory, a specific model for distributed substation automation is proposed considering the current model employed at COPEL - Companhia Paranaense de Energia. The proposed model is based on the multi-agents technology, which has lately received special attention in the development of distributed systems with local intelligence. (author)

  20. Stability of Evolving Multi-Agent Systems

    CERN Document Server

    De Wilde, Philippe; 10.1109/TSMCB.2011.2110642

    2011-01-01

    A Multi-Agent System is a distributed system where the agents or nodes perform complex functions that cannot be written down in analytic form. Multi-Agent Systems are highly connected, and the information they contain is mostly stored in the connections. When agents update their state, they take into account the state of the other agents, and they have access to those states via the connections. There is also external, user-generated input into the Multi-Agent System. As so much information is stored in the connections, agents are often memory-less. This memory-less property, together with the randomness of the external input, has allowed us to model Multi-Agent Systems using Markov chains. In this paper, we look at Multi-Agent Systems that evolve, i.e. the number of agents varies according to the fitness of the individual agents. We extend our Markov chain model, and define stability. This is the start of a methodology to control Multi-Agent Systems. We then build upon this to construct an entropy-based defi...

  1. 基于π演算的多agent系统建模与分析%On modeling and analyzing multi-agent systems using π-calculus

    Institute of Scientific and Technical Information of China (English)

    于振华; 蔡远利

    2007-01-01

    Dynamic architecture of multi-agent systems (MAS) is important for critical systems. As the existing formal specifications of MAS cannot describe its dynamic architecture, a formal approach using π-calculus is presented, which is suited for the describing and analyzing of concurrent MAS with dynamic topology. π-calculus describes the belief-desireintention (BDI) model that represents agent's mental states and provides many useful facilities to analyze MAS model such as deadlock, behavior equivalence, and model checking. To illustrate the favorable representation capability of π-calculus, an example of dynamic multi-agent systems in e-commerce is provided. Finally, by using an existing π-calculus supporting tool,MAS model and some key behaviors properties are analyzed and verified.

  2. Multi agent gathering waste system

    Directory of Open Access Journals (Sweden)

    Álvaro LOZANO MURCIEGO

    2016-07-01

    Full Text Available Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data available and with the purpose of identifying limitations of the system.

  3. Multi agent gathering waste system

    OpenAIRE

    Lozano Murciego, Álvaro; Gabriel VILLARRUBIA GONZÁLEZ; Alberto LÓPEZ BARRIUSO; Daniel HERNÁNDEZ DE LA IGLESIA; Jorge REVUELTA HERRERO

    2015-01-01

    Along this paper, we present a new multi agent-based system to gather waste on cities and villages. We have developed a low cost wireless sensor prototype to measure the volume level of the containers. Furthermore a route system is developed to optimize the routes of the trucks and a mobile application has been developed to help drivers in their working days. In order to evaluate and validate the proposed system a practical case study in a real city environment is modeled using open data avai...

  4. Design of a multi-agent hydroeconomic model to simulate a complex human-water system: Early insights from the Jordan Water Project

    Science.gov (United States)

    Yoon, J.; Klassert, C. J. A.; Lachaut, T.; Selby, P. D.; Knox, S.; Gorelick, S.; Rajsekhar, D.; Tilmant, A.; Avisse, N.; Harou, J. J.; Gawel, E.; Klauer, B.; Mustafa, D.; Talozi, S.; Sigel, K.

    2015-12-01

    Our work focuses on development of a multi-agent, hydroeconomic model for purposes of water policy evaluation in Jordan. The model adopts a modular approach, integrating biophysical modules that simulate natural and engineered phenomena with human modules that represent behavior at multiple levels of decision making. The hydrologic modules are developed using spatially-distributed groundwater and surface water models, which are translated into compact simulators for efficient integration into the multi-agent model. For the groundwater model, we adopt a response matrix method approach in which a 3-dimensional MODFLOW model of a complex regional groundwater system is converted into a linear simulator of groundwater response by pre-processing drawdown results from several hundred numerical simulation runs. Surface water models for each major surface water basin in the country are developed in SWAT and similarly translated into simple rainfall-runoff functions for integration with the multi-agent model. The approach balances physically-based, spatially-explicit representation of hydrologic systems with the efficiency required for integration into a complex multi-agent model that is computationally amenable to robust scenario analysis. For the multi-agent model, we explicitly represent human agency at multiple levels of decision making, with agents representing riparian, management, supplier, and water user groups. The agents' decision making models incorporate both rule-based heuristics as well as economic optimization. The model is programmed in Python using Pynsim, a generalizable, open-source object-oriented code framework for modeling network-based water resource systems. The Jordan model is one of the first applications of Pynsim to a real-world water management case study. Preliminary results from a tanker market scenario run through year 2050 are presented in which several salient features of the water system are investigated: competition between urban and

  5. FUZZY LOGIC MULTI-AGENT SYSTEM

    OpenAIRE

    Atef GHARBI; Ben Ahmed, Samir

    2014-01-01

    The paper deals with distributed planning in a Multi-Agent System (MAS) constituted by several intelligent agents each one has to interact with the other autonomous agents. The problem faced is how to ensure a distributed planning through the cooperation in our multi-agent system. To do so, we propose the use of fuzzy logic to represent the response of the agent in case of interaction with the other. Finally, we use JADE platform to create agents and ensure the communication be...

  6. Multi-agent-based bio-network for systems biology: protein-protein interaction network as an example.

    Science.gov (United States)

    Ren, Li-Hong; Ding, Yong-Sheng; Shen, Yi-Zhen; Zhang, Xiang-Feng

    2008-10-01

    Recently, a collective effort from multiple research areas has been made to understand biological systems at the system level. This research requires the ability to simulate particular biological systems as cells, organs, organisms, and communities. In this paper, a novel bio-network simulation platform is proposed for system biology studies by combining agent approaches. We consider a biological system as a set of active computational components interacting with each other and with an external environment. Then, we propose a bio-network platform for simulating the behaviors of biological systems and modelling them in terms of bio-entities and society-entities. As a demonstration, we discuss how a protein-protein interaction (PPI) network can be seen as a society of autonomous interactive components. From interactions among small PPI networks, a large PPI network can emerge that has a remarkable ability to accomplish a complex function or task. We also simulate the evolution of the PPI networks by using the bio-operators of the bio-entities. Based on the proposed approach, various simulators with different functions can be embedded in the simulation platform, and further research can be done from design to development, including complexity validation of the biological system.

  7. 多Agent协商竞争模型的研究及仿真%Study and Simulation of Multi-Agent Negotiation Competition Model

    Institute of Scientific and Technical Information of China (English)

    吴立峤; 余春艳; 王洪枢

    2011-01-01

    在利用多Agent构建人工系统的过程中,Agent的利益偏好不同及资源有限等因素会引起冲突,而多Agent之间有效的协商竞争能够减少冲突,提高整体性能.为此,提出一种新的多Agent协商竞争模型,该模型依托协商信息,提高竞争对手策略预测准确率,同时采用概率最大化利益行为选择策略,从而缩短协商竞争时间.%In the process of building manual system relying on multi-Agent, the factors such as the difference of Agent's interests, the limited resources and so on will inevitably lead to conflict. While effective consultation and competition between multi-Agent helps to reduce conflict and improve overall performance. It proposes a new multi-Agent negotiation competition model, which relies on negotiation information to improve the forecast accuracy of opponent's competing strategies, depends on probability to selection strategies to maximize the interest and shortens negotiation time effectively.

  8. Study on Multi-agent Systems with Colored Petri Nets

    Institute of Scientific and Technical Information of China (English)

    兰顺国; 李军

    2008-01-01

    The approach to model multi-agent systems with hierarchical colored Peal nets is introduced.In a multi-agent system,every agent is modeled with colored Petri net system,and the colored Petri net system of the multi-agent system is a hierarchical colored Petri net system,such that the agents planning deadlock detection and avoidance,can be analyzed with the Petri net system.

  9. Autonomic Management for Multi-agent Systems

    CERN Document Server

    Salih, Nadir K; Viju, PG K; Mohamed, Abdelmotalib A

    2011-01-01

    Autonomic computing is a computing system that can manage itself by self-configuration, self-healing, self-optimizing and self-protection. Researchers have been emphasizing the strong role that multi agent systems can play progressively towards the design and implementation of complex autonomic systems. The important of autonomic computing is to create computing systems capable of managing themselves to a far greater extent than they do today. With the nature of autonomy, reactivity, sociality and pro-activity, software agents are promising to make autonomic computing system a reality. This paper mixed multi-agent system with autonomic feature that completely hides its complexity from users/services. Mentioned Java Application Development Framework as platform example of this environment, could applied to web services as front end to users. With multi agent support it also provides adaptability, intelligence, collaboration, goal oriented interactions, flexibility, mobility and persistence in software systems

  10. Multi-agent systems simulation and applications

    CERN Document Server

    Uhrmacher, Adelinde M

    2009-01-01

    Methodological Guidelines for Modeling and Developing MAS-Based SimulationsThe intersection of agents, modeling, simulation, and application domains has been the subject of active research for over two decades. Although agents and simulation have been used effectively in a variety of application domains, much of the supporting research remains scattered in the literature, too often leaving scientists to develop multi-agent system (MAS) models and simulations from scratch. Multi-Agent Systems: Simulation and Applications provides an overdue review of the wide ranging facets of MAS simulation, i

  11. Research of Communication Mechanism of the Multi-agent in Multi-agent Robot Systems

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The cooperation of multi-robot that is based on the multi-agent system (MAS) theory of distributed artificial intelligence has become a hotspot in the robotics R&D. In the research the multi-robot is regarded as multi-agent. So the communication and cooperation of multi-agent become the key problem for gaining the dynamic running information of cooperating robots. In this paper the authors introduce the communication modes for agent and provide a common strategy which aims at the communication resources of multi-agent model-the CSMA/CD (Carrier Sense Multiple Access with Collision Detection) protocol which is based on the transmittal medium. It supports the cable-communication of multi-robot and the experiments prove its validity.

  12. Multi-Agent Modeling and Simulation of Farmland Use Change in a Farming–Pastoral Zone: A Case Study of Qianjingou Town in Inner Mongolia, China

    Directory of Open Access Journals (Sweden)

    Xuehong Bai

    2015-11-01

    Full Text Available Farmland is the most basic material condition for guaranteeing rural livelihoods and national food security, and exploring management strategies that take both stable rural livelihoods and sustainable farmland use into account has vital significance in theory and practice. Farmland is a complex and self-adaptive system that couples human and natural systems, and natural and social factors that are related to its changing process need to be considered when modeling farmland changing processes. This paper uses Qianjingou Town in the Inner Mongolian farming–pastoral zone as a study area. From the perspective of the relationship between household livelihood and farmland use, this study establishes the process mechanism of farmland use change based on questionnaire data, and constructs a multi-agent simulation model of farmland use change using the Eclipse and Repast toolbox. Through simulating the relationship between natural factors (including geographical location and household behavior, this paper systematically simulates household farmland abandonment and rent behaviors, and accurately describes the dynamic interactions between household livelihoods and the factors related to farmland use change. These factors include natural factors (net primary productivity, road accessibility, slope and relief amplitude and social factors (household family structures, economic development and government policies. Ultimately, this study scientifically predicts the future farmland use change trend in the next 30 years. The simulation results show that the number of abandoned and sublet farmland plots has a gradually increasing trend, and the number of non-farming households and pure-outworking households has a remarkable increasing trend, whereas the number of part-farming households and pure-farming households has a decreasing trend. Household livelihood sustainability in the study area is confronted with increasing pressure, and household non

  13. Multi-agent modeling and simulation of farmland use change in the farming-pastoral zone: A case study of Qianjingou Town in Inner Mongolia, China

    Science.gov (United States)

    Yan, H.

    2015-12-01

    Farmland is the most basic material conditions for guaranteeing rural livelihoods and national food security, and exploring management strategies that take both of the sustainable rural livelihoods and sustainable farmland use into account has vital significance of theory and practice. Farmland is a complex and self-adaptive system that couples human and natural systems together, and natural factors and social factors that are related to its changing process need to be considered when modeling farmland changing process. This paper takes Qianjingou Town in Inner Mongolia farming-pastoral zone as study area. From the perspective of the relationship between households' livelihoods and farmland use, this study builds the process mechanism of farmland use change based on questionnaires data, and constructs multi-agent simulation model of farmland use change with the help of Eclipse and Repast toolbox. Through simulating the relationship between natural factors (with geographical location) and households' behaviors, this paper systematically simulates households' renting and abandoning farmland behaviors, and truly describes dynamic interactions between households' livelihoods and factors related to farmland use change. These factors include natural factors (net primary productivity, road accessibility, slope and relief amplitude) and social factors (households' family structures, economic development and government policies). In the end, this study scientifically predicts farmland use change trend in the future 30 years. The simulation results show that, the number of abandoned and sublet farmland plots has a gradually increasing trend, the number of non-farm households and pure-outwork households has a remarkable increasing trend, and the number of part-farm households and pure-farm households shows a decreasing trend. Households' livelihoods sustainability in the study area is confronted with increasing pressure, and households' nonfarm employment has an increasing

  14. 基于多主体的舆论建模与仿真研究%Modeling and simulation of public opinion based on multi-agent system

    Institute of Scientific and Technical Information of China (English)

    刘怡君

    2011-01-01

    "Public opinion comes before the unrest" has become a consensus. Understanding and capturing the essential mechanism of opinion formation and infection will provide help for forecasting and macroeconomic regulation. Public opinion is an open complex giant system, in which studying opinion based on modeling and simulation analysis is a more comprehensive and effective means. The paper presents one overall model of methodology-method-technology-simulation from the view of systems science besides going through the definitions of Wuli-Shili-Renli and multi-agent system, then summarizes the individuals' behaviors such as "conformity","power","egoism", etc., analyzes individual choices and constructs three interaction rules. The opinion evolution process was simulated quantitatively and some primary conclusions were obtained.%“舆论在先,动乱在后”,已成为普遍共识的认知.研究舆论的形成机理及其演化规律,进而调控舆论传播的导向有着重要的理论和现实意义.舆论系统是一个典型的复杂系统,系统建模与仿真分析是舆论全方位研究的有效手段.本文以物理-事理-人理系统方法论为指导,以多主体建模方法为手段,以舆论可视化仿真平台为依托,定义了舆论主体的偏好行为,模拟了舆论演化的过程,总结了舆论演化的规律.

  15. Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

    Institute of Scientific and Technical Information of China (English)

    Jun Wang; Xiaozhe Zhao; Beiping Xu; Wei Wang; Zhiyong Niu

    2013-01-01

    Aiming at the problem on cooperative air-defense of surface warship formation, this paper maps the cooperative air-defense system of systems (SoS) for surface warship formation (CASoSSWF) to the biological immune system (BIS) according to the similarity of the defense mechanism and characteristics be-tween the CASoSSWF and the BIS, and then designs the mo-dels of components and the architecture for a monitoring agent, a regulating agent, a kil er agent, a pre-warning agent and a com-municating agent by making use of the theories and methods of the artificial immune system, the multi-agent system (MAS), the vaccine and the danger theory (DT). Moreover a new immune multi-agent model using vaccine based on DT (IMMUVBDT) for the cooperative air-defense SoS is advanced. The immune response and immune mechanism of the CASoSSWF are analyzed. The model has a capability of memory, evolution, commendable dy-namic environment adaptability and self-learning, and embodies adequately the cooperative air-defense mechanism for the CA-SoSSWF. Therefore it shows a novel idea for the CASoSSWF which can provide conception models for a surface warship forma-tion operation simulation system.

  16. Multi-agent Based Charges subsystem for Supply Chain Logistics

    Directory of Open Access Journals (Sweden)

    Pankaj Rani

    2012-05-01

    Full Text Available The main objective of this paper is to design charges subsystem using multi agent technology which deals with calculation, accrual and collection of various charges levied at the goods in a supply chain Logistics. Accrual of various charges such as freight, demurrage, and wharfage take place implicitly in the SC system at the various events of different subsystems which is collected and calculated by software agents. An Agent-based modeling is an approach based on the idea that a system is composed of decentralized individual ‘agents’ and that each agent interacts with other agents according to its localized knowledge. Our aim is to design a flexible architecture that can deal with next generation supply chain problems based on a multi-agent architecture. In this article, a multi agent system has been developed to calculate charges levied at various stages on good sheds.. Each entity is modeled as one agent and their coordination lead to control inventories and minimize the total cost of SC by sharing information and forecasting knowledge and using negotiation mechanism.

  17. Reinforcement Learning Multi-Agent Modeling of Decision-Making Agents for the Study of Transboundary Surface Water Conflicts with Application to the Syr Darya River Basin

    Science.gov (United States)

    Riegels, N.; Siegfried, T.; Pereira Cardenal, S. J.; Jensen, R. A.; Bauer-Gottwein, P.

    2008-12-01

    In most economics--driven approaches to optimizing water use at the river basin scale, the system is modelled deterministically with the goal of maximizing overall benefits. However, actual operation and allocation decisions must be made under hydrologic and economic uncertainty. In addition, river basins often cross political boundaries, and different states may not be motivated to cooperate so as to maximize basin- scale benefits. Even within states, competing agents such as irrigation districts, municipal water agencies, and large industrial users may not have incentives to cooperate to realize efficiency gains identified in basin- level studies. More traditional simulation--optimization approaches assume pre-commitment by individual agents and stakeholders and unconditional compliance on each side. While this can help determine attainable gains and tradeoffs from efficient management, such hardwired policies do not account for dynamic feedback between agents themselves or between agents and their environments (e.g. due to climate change etc.). In reality however, we are dealing with an out-of-equilibrium multi-agent system, where there is neither global knowledge nor global control, but rather continuous strategic interaction between decision making agents. Based on the theory of stochastic games, we present a computational framework that allows for studying the dynamic feedback between decision--making agents themselves and an inherently uncertain environment in a spatially and temporally distributed manner. Agents with decision-making control over water allocation such as countries, irrigation districts, and municipalities are represented by reinforcement learning agents and coupled to a detailed hydrologic--economic model. This approach emphasizes learning by agents from their continuous interaction with other agents and the environment. It provides a convenient framework for the solution of the problem of dynamic decision-making in a mixed cooperative / non

  18. SIMULATING CONSUMER BEHAVIOUR PATTERN WITH MULTI-AGENT MODEL%基于多主体的消费者行为模式仿真

    Institute of Scientific and Technical Information of China (English)

    陈力

    2011-01-01

    为了更好地探究消费者保守行为模式,发掘市场中隐含的内在机制,使用了基于多主体的模型来模拟虚拟市场中的消费者行为.通过创建大量受到动机函数驱使,并且能够交互的主体,从而来模拟市场中人们的购买决策行为,了解人们的购买决策受到哪些因素的影响.同时在主体模型的基础上,构建了抽象社会关系网络.随着市场的发展,与之对应的底层网络结构也会随之演化.由此涌现出的一些宏观群体特性,也从不同的角度合理解释了"诱饵效应"和"锁定效应"这样的消费者行为模式.证实了不同阶层的消费者消费行为模式会有所不同.%In order to better explore the conservative behaviour of the consumers, discover inherent and internal mechanism in the market,in this paper we use multi-agent model to simulate the behaviour of consumers in virtual market. By creating a lot of interactive Agents with different characteristics and the same motivation function, the model simulates the purchasing decision behaviour in market and reveals the influence factors of their purchasing decision. Based on this model, we construct an abstract social relationship network on the basis of Agent model. The structure of the corresponding network at first floor will evolve along with the development of the market. The characteristic of macro population emerged from the network gives reasonable explanation from different prospect to such consumers' behaviour patterns of decoy effect and lock-in effect. And the results prove that the behaviour pattern varies from consumer to consumer of different ranks.

  19. Social Presence Approach Within the Question and Answering eLearning Model:An Experiment with a Multi-Agent System

    Directory of Open Access Journals (Sweden)

    Cecilia Avila

    2012-01-01

    Full Text Available The model of Questions Answering (Q&A for eLearning is based on collaborative learning through questions that are posed by students and their answers to that questions which are given by peers, in contrast with the classical model in which students ask questions to the teacher only. In this proposal we extend the Q&A model including the social presence concept and a quantitative measure of it is proposed; besides it is considered the evolution of the resulting Q&A social network after the inclusion of the social presence and taking into account the feedback on questions posed by students and answered by peers. The social network behaviorwas simulated using a Multi-Agent System to compare the proposed social presence model with the classical and the Q&A models.

  20. Robust scalable stabilisability conditions for large-scale heterogeneous multi-agent systems with uncertain nonlinear interactions: towards a distributed computing architecture

    Science.gov (United States)

    Manfredi, Sabato

    2016-06-01

    Large-scale dynamic systems are becoming highly pervasive in their occurrence with applications ranging from system biology, environment monitoring, sensor networks, and power systems. They are characterised by high dimensionality, complexity, and uncertainty in the node dynamic/interactions that require more and more computational demanding methods for their analysis and control design, as well as the network size and node system/interaction complexity increase. Therefore, it is a challenging problem to find scalable computational method for distributed control design of large-scale networks. In this paper, we investigate the robust distributed stabilisation problem of large-scale nonlinear multi-agent systems (briefly MASs) composed of non-identical (heterogeneous) linear dynamical systems coupled by uncertain nonlinear time-varying interconnections. By employing Lyapunov stability theory and linear matrix inequality (LMI) technique, new conditions are given for the distributed control design of large-scale MASs that can be easily solved by the toolbox of MATLAB. The stabilisability of each node dynamic is a sufficient assumption to design a global stabilising distributed control. The proposed approach improves some of the existing LMI-based results on MAS by both overcoming their computational limits and extending the applicative scenario to large-scale nonlinear heterogeneous MASs. Additionally, the proposed LMI conditions are further reduced in terms of computational requirement in the case of weakly heterogeneous MASs, which is a common scenario in real application where the network nodes and links are affected by parameter uncertainties. One of the main advantages of the proposed approach is to allow to move from a centralised towards a distributed computing architecture so that the expensive computation workload spent to solve LMIs may be shared among processors located at the networked nodes, thus increasing the scalability of the approach than the network

  1. MULTI-AGENT COLLABORATIVE BUSINESS PROCESSES MODELING BASED ON RN THEORY%RN理论支持的多Agent协同业务流程建模

    Institute of Scientific and Technical Information of China (English)

    刘继山; 王延章

    2011-01-01

    Business process model is the core of organisation modelling for enterprises and governments. Aiming at the drawbacks of current business process execution in its property of linearity, short of flexibility and intelligence in model and lacking dynamic change and activeness of the Role, multi-agent is introduced into the model on the basis of analysing RN ( Role Network) model, and the communication and coordination between the agents are used to describe the business process. The multi-agent collaborative business processes model supported with RN theory is brought forward, which makes executor Agent become the main body of the model, and alters the passivity of the executors in traditional model. This has solved the problems of the executors of business activities in multi-role and the alternation among the roles, the flexibility, automation and intelligence of business process is improved as well.%业务流程模型是企业、政府等组织建模的核心.针对目前业务流程执行的线性性、模型的柔性、智能性不足,和角色缺乏动态性和主动性的弊端,在分析了RN(角色网络)模型的基础上,模型中引入了多Agent,并用这些Agent之间的交流协作来描述业务流程;提出了RN理论支持的多Agent协同业务流程模型,使得执行者Agent成为模型的主体;改变了传统模型中人的被动地位;解决了业务活动执行者的多角色和角色变化问题,提高了业务流程的柔性化、自动化和智能化水平.

  2. An Multi-agent Agricultural DDSS Based on Ontology

    Institute of Scientific and Technical Information of China (English)

    JieShen; JianliLuo; YueqinHang; YouzhiXu

    2004-01-01

    This paper propos-nology in terms of the characters of agricultural decision support, and designs a model of DSS about production and sales of agricultural products. The model adopts decentralized+ centralized distributed network topology. In the distributed network, each node is a DSS.Every DSS is made up of multiple agents, which can enhance the interactivity and intel-lectuality among DSS. In the multi-agent system, we embed ontology in the agent system,which has the following advantages: enhancing the coordination and communication between agents, and strengthening the semantics of information and improving knowledge share and reuse.

  3. Multi Agent system Randomized in Road Traffic

    Directory of Open Access Journals (Sweden)

    Gouiouez Mounir,

    2013-02-01

    Full Text Available In recent years, the rapid growth of road traffic density in theworld generates a rising request for tools that can be used toanalyze and control the traffic networks. Microscopic trafficsimulation[1,2,3] has proven to be one of the most useful toolsfor analysis of various traffic systems. Thus microscopic trafficsimulation has become an ever increasing field of research anddevelopment. In this paper we present a new model formicroscopic traffic simulation; Traditional traffic simulationmodels neglect some real-life factors that need to be considered,such as the effect of random distribution in the entry of lanehence ,this paper presents the development of a concept and anassociated architecture called the MAS2RT (Multi Agentsystem Randomized in Road Traffic, which is based on thecombination of Multi-Agent Systems (MAS [4,5], Poissondistribution in urban Traffic and a stochastic model [6,7] tocapture the randomness of individual agent. The secondcontribution of this paper is about the internal structure ofmobile agents[8], initially reacts according to the instructions ofthe Main agent (MA and in the case of a lack of dynamicinformation, the mobile agents take decisions based on theirexperiences accumulated during previous interactions.The obtained results illustrate that using the randomness in thereaction of agent enhanced greatly the performance ofsimulation.

  4. Probability of Inconsistencies in Theory Revision: A multi-agent model for updating logically interconnected beliefs under bounded confidence

    CERN Document Server

    Wenmackers, Sylvia; Douven, Igor

    2014-01-01

    We present a model for studying communities of epistemically interacting agents who update their belief states by averaging (in a specified way) the belief states of other agents in the community. The agents in our model have a rich belief state, involving multiple independent issues which are interrelated in such a way that they form a theory of the world. Our main goal is to calculate the probability for an agent to end up in an inconsistent belief state due to updating (in the given way). To that end, an analytical expression is given and evaluated numerically, both exactly and using statistical sampling. It is shown that, under the assumptions of our model, an agent always has a probability of less than 2% of ending up in an inconsistent belief state. Moreover, this probability can be made arbitrarily small by increasing the number of independent issues the agents have to judge or by increasing the group size. A real-world situation to which this model applies is a group of experts participating in a Delp...

  5. Multi-Agent Information Classification Using Dynamic Acquaintance Lists.

    Science.gov (United States)

    Mukhopadhyay, Snehasis; Peng, Shengquan; Raje, Rajeev; Palakal, Mathew; Mostafa, Javed

    2003-01-01

    Discussion of automated information services focuses on information classification and collaborative agents, i.e. intelligent computer programs. Highlights include multi-agent systems; distributed artificial intelligence; thesauri; document representation and classification; agent modeling; acquaintances, or remote agents discovered through…

  6. Survey on Multi-Agent Collaborative Problem Solving%多Agent合作求解

    Institute of Scientific and Technical Information of China (English)

    张新良; 石纯一

    2003-01-01

    Multi-Agent Collaborative Problem Solving is one basic issue of the research of Multi-Agent Systen(MAS). In this paper we summarize some research work of Multi-Agent collaborative problem solving,expound thecharacteristic of Multi-Agnet collaborative problem solving,Model of Multi-Agent collaborative problem solving,pro-cess of solving、the application field of Multi-Agent collaborative problem solving and some challenge. Especially wediscuss the main models ,introduce the representative model including joint-intention,joint-commitment ,shared plan.

  7. Integrating Ontologies into Distributed Multi-Agent System

    Directory of Open Access Journals (Sweden)

    Khaoula ADDAKIRI

    2013-10-01

    Full Text Available Multi-agent systems have proven to be a powerful technology because of their many advantages in distributed and complex environments however its disadvantage is that is lacks the interconnection with semantic web standards. In this paper we propose a new approach to enhance the interoperability and cooperation of Multi-Agent System (MAS using semantic web technology (such as RDF and OWL and we present a proposal for modeling agent based system using Unified Modeling Language.

  8. Integrating Ontologies into Distributed Multi-Agent System

    OpenAIRE

    Addakiri, Khaoula; Mohamed BAHAJ

    2013-01-01

    Multi-agent systems have proven to be a powerful technology because of their many advantages in distributed and complex environments however its disadvantage is that is lacks the interconnection with semantic web standards. In this paper we propose a new approach to enhance the interoperability and cooperation of Multi-Agent System (MAS) using semantic web technology (such as RDF and OWL) and we present a proposal for modeling agent based system using Unified Modeling Language.

  9. Regulated open multi-agent systems (ROMAS) a multi-agent approach for designing normative open systems

    CERN Document Server

    Garcia, Emilia; Botti, Vicente

    2015-01-01

    Addressing the open problem of engineering normative open systems using the multi-agent paradigm, normative open systems are explained as systems in which heterogeneous and autonomous entities and institutions coexist in a complex social and legal framework that can evolve to address the different and often conflicting objectives of the many stakeholders involved. Presenting  a software engineering approach which covers both the analysis and design of these kinds of systems, and which deals with the open issues in the area, ROMAS (Regulated Open Multi-Agent Systems) defines a specific multi-agent architecture, meta-model, methodology and CASE tool. This CASE tool is based on Model-Driven technology and integrates the graphical design with the formal verification of some properties of these systems by means of model checking techniques. Utilizing tables to enhance reader insights into the most important requirements for designing normative open multi-agent systems, the book also provides a detailed and easy t...

  10. Formalizing Theatrical Performances Using Multi-Agent Organizations

    DEFF Research Database (Denmark)

    Jensen, Andreas Schmidt; Spurkeland, Johannes Svante; Villadsen, Jørgen

    2013-01-01

    Theatrical performances usually follow strict scripts and actors are not allowed to deviate. A Danish theatrical group, Theater 770◦ Celsius, has invented a new method called In Real Life, in which only certain events in the storyline are specified and the actors are supposed to improvise to reac...... these events. The method bears a resemblance to multi-agent systems and we show how it can be formalized using the multi-agent organizational model OperA....

  11. Dynamic optimization for multi-agent systems with external disturbances

    Institute of Scientific and Technical Information of China (English)

    Xinghu WANG; Peng YI; Yiguang HONG

    2014-01-01

    This paper studies the dynamic optimization problem for multi-agent systems in the presence of external disturbances. Different from the existing distributed optimization results, we formulate an optimization problem of continuous-time multi-agent systems with time-varying disturbance generated by an exosystem. Based on internal model and Lyapunov-based method, a distributed design is proposed to achieve the optimization. Finally, an example is given to illustrate the proposed optimization design.

  12. 基于Multi-agent的地铁站内人群应急疏散交互研究%STUDY ON INTERACTION OF CROWD EMERGENCY EVACUATION IN SUBWAY STATION BASED ON MULTI-AGENT

    Institute of Scientific and Technical Information of China (English)

    陈迎欣

    2013-01-01

    The subway is one of the important transport means for people’s daily travel.As a crowded place,subway stations have a potential of huge security risk,emergency evacuation should to be quickly organised to avoid great casualties once a fire happened.In the paper we propose three kinds of Agent including the leader,the ordinary people and the panic people,and construct a multi-agent interaction collaboration model.A subway station is selected as the object of simulation space.We adopt software Building EXODUS to simulate the model.Simulation results show that the interaction of roles group in evacuation,in particular the leader-agent’s guiding and coordination can improve the evacuation efficiency and shorten the total evacuation time.%地铁是人们日常出行的重要交通工具之一,地铁站作为人员密集场所,潜藏着巨大的安全隐患,一旦发生火灾,需要快速组织疏散,避免造成大量人员伤亡。提出领导者、普通者和惊慌者三种Agent,构建了多Agent交互协作模型,以某地铁站为仿真空间对象,采用Building EXODUS平台对模型进行仿真。仿真结果表明:疏散中各角色群体的交互,尤其是领导者Agent的引导和协调作用能够提高疏散效率,缩短疏散时间。

  13. Development and evaluation of multi-agent models of online social influence based on Cialdini’s principles

    NARCIS (Netherlands)

    Maanen, P.P. van; Vecht, B. van der

    2014-01-01

    The aim of this study is to better understand social influence in online social media. Therefore, we propose a method in which we implement, validate and improve individual behavior models. The behavior model is based on three fundamental behavioral principles of social influence from the literature

  14. Development and evaluation of multi-agent models of online social influence based on Cialdini’s principles

    NARCIS (Netherlands)

    Maanen, P.P. van; Vecht, B. van der

    2014-01-01

    The aim of this study is to better understand social influence in online social media. Therefore, we propose a method in which we implement, validate and improve individual behavior models. The behavior model is based on three fundamental behavioral principles of social influence from the literature

  15. Contribution to multi-agents modeling of the operation of industrial processes: application to the operation of a pressurized water reactor under accidental situation; Contribution a la modelisation multi-agents de la conduite de processus industriels: application a la conduite en situation accidentelle d`un reacteur nucleaire a eau sous pression

    Energy Technology Data Exchange (ETDEWEB)

    Elias, P.

    1996-11-13

    This work is related to the CEA `Escrime` project which concerns the reliability and functioning safety of nuclear reactors, and in particular the operation and supervision of nuclear installations. Its aim is the analysis and the formalizing of PWRs operation in order to define the collaboration and optimum sharing of tasks between human operators and automatized systems for an improved functioning safety. Chapter 1 describes the operation of nuclear reactors and the instrumentation and control activities. It focusses on the weaknesses of actual automatized systems and examines the interest of the multi-agents approach to build an improved automatized system. Chapter 2 presents the actual state of the art about multi-agent systems and about their application to reactor operation. Chapter 3 is devoted to the definition of the conceptual model of automatized systems developed in this work (distribution of operation activities, competition between agents, hierarchy, arbitration). Chapter 4 describes the computer model of the essential operating system elaborated according to the conceptual model defined above. Modeling is performed using Spirit and an application is described in chapter 5. (J.S.). 58 refs.

  16. Spatio-temporal Dynamics of Land-use and Land-cover Change: A Multi-agent Simulation Model and Its Application to an Upland Watershed in Central Vietnam

    Science.gov (United States)

    Le, Q.; Vlek, P. L.; Park, S.

    2005-12-01

    Land-use and land-cover change (LUCC) is an essential environmental process that should be monitored and prognosticated to provide a basis for better land management policy. However, LUCC modeling is a challenge due to the complex nature and unexpected behavior of both human drivers and natural constraints. This paper presents a multi-agent-based model to simulate spatio-temporal land-use changes and the interdependent socio-economic dynamics emerging from the complex socio-ecological interactions at micro levels resulting from land-use policy interventions. The model provides land-use scenarios under alternative policy to support decisions on land management for improved rural livelihoods while protecting the environment. In the multi-agent simulation model, the human community is represented by household agents (heterogeneous farming households) with their profiles and decision-making mechanisms about land use. The household profile defines the five asset dimensions of household livelihood (e.g., social, human, financial, natural and physical assets). The land-use decision-making program works by taking inputs from the household profile, perceived spatial environmental attributes, and introduced policies. The decision-making program is a logical procedure that combines a land-use choice model (multi-nominal logistic choices) and anthropological rules. The landscape environment is represented by landscape agents (congruent land patches of 30mx30m) with their state variables and ecological response mechanisms to environmental changes and human interventions. State variables of landscape agents correspond to spatial GIS-raster layers of biophysical, economic, and institutional variables. Ecological mechanisms of landscape agents are represented by internal sub-models of agricultural and forest productivity dynamics, which work in response to the current state, history, and spatial neighbourhood of the landscape agents. A multi-agent based protocol coordinates the

  17. Model-free Optimization of an Engine Control Unit thanks to Self-Adaptive Multi-Agent Systems

    OpenAIRE

    Boes, Jérémy; Migeon, Frédéric; Glize, Pierre; Salvy, Erwan

    2014-01-01

    International audience; Controlling complex systems, such as combustion engines, imposes to deal with high dynamics, non-linearity and multiple interdependencies. To handle these difficulties we can either build analytic models of the process to control, or enable the controller to learn how the process behaves. Tuning an engine control unit (ECU) is a complex task that demands several months of work. It requires a lot of tests, as the optimization problem is non-linear. Efforts are made by r...

  18. Formation of Robust Multi-Agent Networks through Self-Organizing Random Regular Graphs

    KAUST Repository

    Yasin Yazicioǧlu, A.

    2015-11-25

    Multi-Agent networks are often modeled as interaction graphs, where the nodes represent the agents and the edges denote some direct interactions. The robustness of a multi-Agent network to perturbations such as failures, noise, or malicious attacks largely depends on the corresponding graph. In many applications, networks are desired to have well-connected interaction graphs with relatively small number of links. One family of such graphs is the random regular graphs. In this paper, we present a decentralized scheme for transforming any connected interaction graph with a possibly non-integer average degree of k into a connected random m-regular graph for some m ϵ [k+k ] 2. Accordingly, the agents improve the robustness of the network while maintaining a similar number of links as the initial configuration by locally adding or removing some edges. © 2015 IEEE.

  19. Multi-agent systems for simulating spatial decision behaviors and land-use dynamics

    Institute of Scientific and Technical Information of China (English)

    LIU; Xiaoping; LI; Xia

    2006-01-01

    A new method to simulate urban land-use dynamics is proposed based on multi-agent systems (MAS). The model consists of a series of environmental layers and multi-agent layers, which can interact with each other. It attempts to explore the interactions between different players or agents,such as residents, property developers, and governments, and between these players and the environment. These interactions can give rise to urban macro-spatial patterns. This model is used to simulate the land-use dynamics of the Haizhu district of Guangzhou City in 1995-2004. Cellular automata (CA) were also used for the simulation of land use changes as a comparison. The study indicates that MAS has better performance for simulating complex cities than CA.

  20. Optimal multi-agent path planning for fast inverse modeling in UAV-based flood sensing applications

    KAUST Repository

    Abdelkader, Mohamed

    2014-05-01

    Floods are the most common natural disasters, causing thousands of casualties every year in the world. In particular, flash flood events are particularly deadly because of the short timescales on which they occur. Unmanned air vehicles equipped with mobile microsensors could be capable of sensing flash floods in real time, saving lives and greatly improving the efficiency of the emergency response. However, of the main issues arising with sensing floods is the difficulty of planning the path of the sensing agents in advance so as to obtain meaningful data as fast as possible. In this particle, we present a fast numerical scheme to quickly compute the trajectories of a set of UAVs in order to maximize the accuracy of model parameter estimation over a time horizon. Simulation results are presented, a preliminary testbed is briefly described, and future research directions and problems are discussed. © 2014 IEEE.

  1. Multi-agent autonomous system

    Science.gov (United States)

    Fink, Wolfgang (Inventor); Dohm, James (Inventor); Tarbell, Mark A. (Inventor)

    2010-01-01

    A multi-agent autonomous system for exploration of hazardous or inaccessible locations. The multi-agent autonomous system includes simple surface-based agents or craft controlled by an airborne tracking and command system. The airborne tracking and command system includes an instrument suite used to image an operational area and any craft deployed within the operational area. The image data is used to identify the craft, targets for exploration, and obstacles in the operational area. The tracking and command system determines paths for the surface-based craft using the identified targets and obstacles and commands the craft using simple movement commands to move through the operational area to the targets while avoiding the obstacles. Each craft includes its own instrument suite to collect information about the operational area that is transmitted back to the tracking and command system. The tracking and command system may be further coupled to a satellite system to provide additional image information about the operational area and provide operational and location commands to the tracking and command system.

  2. Dynamic Control and Formal Models of Multi-Agent Interactions and Behaviors

    Science.gov (United States)

    2005-05-01

    accommodate adaptation to incomplete and unknown knowledge. 3.1 Starvation and Waiting Times for a Distributed and Dynamic Vehicle Routing Problem 3.1.1...particular type of stochastic and dynamic vehicle routing problem (see [20] for a recent survey on deterministic vehicle routing problems as well as...locations, future decisions of vehicles, and previously serviced demands by vehicles. MAV-DTRP is a particular type of Dynamic Vehicle Routing Problem (DVRP

  3. Multi-agent simulation of generation expansion in electricity markets.

    Energy Technology Data Exchange (ETDEWEB)

    Botterud, A; Mahalik, M. R.; Veselka, T. D.; Ryu, H.-S.; Sohn, K.-W.; Decision and Information Sciences; Korea Power Exchange

    2007-06-01

    We present a new multi-agent model of generation expansion in electricity markets. The model simulates generation investment decisions of decentralized generating companies (GenCos) interacting in a complex, multidimensional environment. A probabilistic dispatch algorithm calculates prices and profits for new candidate units in different future states of the system. Uncertainties in future load, hydropower conditions, and competitors actions are represented in a scenario tree, and decision analysis is used to identify the optimal expansion decision for each individual GenCo. We test the model using real data for the Korea power system under different assumptions about market design, market concentration, and GenCo's assumed expectations about their competitors investment decisions.

  4. Multi-Agent simulation of generation capacity expansion decisions.

    Energy Technology Data Exchange (ETDEWEB)

    Botterud, A.; Mahalik, M.; Conzelmann, G.; Silva, R.; Vilela, S.; Pereira, R. (Decision and Information Sciences); (Energias de Portugal); (Rede Electrica Nacional)

    2008-01-01

    In this paper, we use a multi-agent simulation model, EMCAS, to analyze generation expansion in the Iberian electricity market. The expansion model simulates generation investment decisions of decentralized generating companies (GenCos) interacting in a complex, multidimensional environment. A probabilistic dispatch algorithm calculates prices and profits for new candidate units in different future states of the system. Uncertainties in future load, hydropower conditions, and competitorspsila actions are represented in a scenario tree, and decision analysis is used to identify the optimal expansion decision for each individual GenCo. We run the model using detailed data for the Iberian market. In a scenario analysis, we look at the impact of market design variables, such as the energy price cap and carbon emission prices. We also analyze how market concentration and GenCospsila risk preferences influence the timing and choice of new generating capacity.

  5. Swarming behaviors in multi-agent systems with nonlinear dynamics

    Energy Technology Data Exchange (ETDEWEB)

    Yu, Wenwu, E-mail: wenwuyu@gmail.com [Department of Mathematics, Southeast University, Nanjing 210096 (China); School of Electrical and Computer Engineering, RMIT University, Melbourne VIC 3001 (Australia); Chen, Guanrong [Department of Electronic Engineering, City University of Hong Kong, Hong Kong (China); Cao, Ming [Faculty of Mathematics and Natural Sciences, ITM, University of Groningen (Netherlands); Lü, Jinhu [Institute of Systems Science, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190 (China); Zhang, Hai-Tao [Department of Control Science and Engineering, State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China)

    2013-12-15

    The dynamic analysis of a continuous-time multi-agent swarm model with nonlinear profiles is investigated in this paper. It is shown that, under mild conditions, all agents in a swarm can reach cohesion within a finite time, where the upper bounds of the cohesion are derived in terms of the parameters of the swarm model. The results are then generalized by considering stochastic noise and switching between nonlinear profiles. Furthermore, swarm models with limited sensing range inducing changing communication topologies and unbounded repulsive interactions between agents are studied by switching system and nonsmooth analysis. Here, the sensing range of each agent is limited and the possibility of collision among nearby agents is high. Finally, simulation results are presented to demonstrate the validity of the theoretical analysis.

  6. Swarming behaviors in multi-agent systems with nonlinear dynamics.

    Science.gov (United States)

    Yu, Wenwu; Chen, Guanrong; Cao, Ming; Lü, Jinhu; Zhang, Hai-Tao

    2013-12-01

    The dynamic analysis of a continuous-time multi-agent swarm model with nonlinear profiles is investigated in this paper. It is shown that, under mild conditions, all agents in a swarm can reach cohesion within a finite time, where the upper bounds of the cohesion are derived in terms of the parameters of the swarm model. The results are then generalized by considering stochastic noise and switching between nonlinear profiles. Furthermore, swarm models with limited sensing range inducing changing communication topologies and unbounded repulsive interactions between agents are studied by switching system and nonsmooth analysis. Here, the sensing range of each agent is limited and the possibility of collision among nearby agents is high. Finally, simulation results are presented to demonstrate the validity of the theoretical analysis.

  7. Modeling for cooperative sports based on multi-agent system%一种基于多Agent系统的协同竞技模型

    Institute of Scientific and Technical Information of China (English)

    王秋茸

    2013-01-01

    现代竞技体系是个开放系统,具有博弈与协同的显著特征.针对当前体育协同理论以经验指导居多的情形,引入信息科学的分析手段,并在此基础上,通过现代体育竞技中的平台体系博弈分析,引出竞技主体间的协同问题,通过协同竞技的特点分析,利用信息技术中的Agent技术,提出基于多Agent协同竞技模型,并通过引入代价函数给出了协同竞技中基于代价考虑的平台重组问题求解.该模型可以提高综合竞技平台实验的柔性化、自动化和智能化水平.%Modern sports are an open system,with game and cooperation being its two main features.In view of the existing situation that sports cooperation theory mostly depends on guidance from experience,information analysis is introduced in this article.The cooperation relationship between game parts is drawn forth through the gaming analysis of modern sports.The technology of agent is applied to propose a model for cooperative sports based on multi-agent system by analyzing the features of cooperative sports.In addition,the algorithm of platform reconfiguration in terms of costs is provided through introducing costs function.This model can promote the flexibility,automation and intelligence of the platform experiment of all-round sports.

  8. Learning in engineered multi-agent systems

    Science.gov (United States)

    Menon, Anup

    Consider the problem of maximizing the total power produced by a wind farm. Due to aerodynamic interactions between wind turbines, each turbine maximizing its individual power---as is the case in present-day wind farms---does not lead to optimal farm-level power capture. Further, there are no good models to capture the said aerodynamic interactions, rendering model based optimization techniques ineffective. Thus, model-free distributed algorithms are needed that help turbines adapt their power production on-line so as to maximize farm-level power capture. Motivated by such problems, the main focus of this dissertation is a distributed model-free optimization problem in the context of multi-agent systems. The set-up comprises of a fixed number of agents, each of which can pick an action and observe the value of its individual utility function. An individual's utility function may depend on the collective action taken by all agents. The exact functional form (or model) of the agent utility functions, however, are unknown; an agent can only measure the numeric value of its utility. The objective of the multi-agent system is to optimize the welfare function (i.e. sum of the individual utility functions). Such a collaborative task requires communications between agents and we allow for the possibility of such inter-agent communications. We also pay attention to the role played by the pattern of such information exchange on certain aspects of performance. We develop two algorithms to solve this problem. The first one, engineered Interactive Trial and Error Learning (eITEL) algorithm, is based on a line of work in the Learning in Games literature and applies when agent actions are drawn from finite sets. While in a model-free setting, we introduce a novel qualitative graph-theoretic framework to encode known directed interactions of the form "which agents' action affect which others' payoff" (interaction graph). We encode explicit inter-agent communications in a directed

  9. 集成博弈和多智能体的人群工作互动行为研究%Study on interaction behavior between group and work based on game and multi-agent

    Institute of Scientific and Technical Information of China (English)

    蒋国银; 胡斌

    2011-01-01

    Agent-based simulation for interaction behavior between group and work was explored from an evolutionary game-theoretical perspective. This paper develops a payoff-shared and punishment-shared game model, design evolution learning rules considering of historical information and decision characteristic of neighbors, and uses multi-agent approach to represent group work. Based on class lib of Repast, we use Java 2 to program the multi-agent simulation system. Simulation results indicate that ( 1 ) the size of work group has a minor effect on cooperation trend and major effect on cooperation frequency of group, (2) total work payoff b has a positive effect on the stability of work state of group. Group behavior is in a state of Tit-for-Tat when work cost c is equivalent to work punishment d, more players want to cooperate when c > d, and vice versa,the more players wants to defect when c < d, (3) group behavior in doing highly difficult work is unstable,players can get lower profit from more highly difficult work with larger risk, or vice versa; and (4) groups made up of individuals with different decision-making characteristics have different effects on the work state of group. The number of conservative and neutral individuals has a positive effect on cooperation and profit. This study contributes some decision support to behavior management under E-commerce or Mobile commerce environment.%基于进化博弈视角,对人群工作互动行为进行多智能体模拟研究.建立了收益和惩罚共享的群体工作收益博弈模型,考虑工作个体的个性决策特征,设计基于历史信息和个体决策特性的混合学习规则,并用多智能体方法对群体工作场景进行描述.在Repast类库基础上,用Ja-va实现该多智能体模拟系统.模拟结果表明:1)群体规模对宏观工作趋势影响小,但对合作频率影响大;2)工作总收益b越大,越有利于工作人群的工作状态稳定.当工作付出c与惩罚d相当时,群

  10. 多 Agent 自动谈判情感决策模型研究%Research on Emotional Decision Model of Multi-Agent Negotiation

    Institute of Scientific and Technical Information of China (English)

    董学杰; 蒋国瑞; 黄梯云

    2014-01-01

    在基于多Agent的自动谈判中,谈判Agent往往采取一个相对固定的策略,使得Agent对动态变化的谈判环境缺乏适应性。根据情感理论的研究成果,本文提出建立情感决策模型来提高Agent的智能程度和适应性。在对谈判Agent情感决策过程进行分析后,建立了一般情况下的情感产生模型和决策模型,并通过在单属性自动谈判环境下,运用具体的情感决策模型和实际数据进行试验,实证了数据模型的有效性。本文的研究成果,可以应用到各种形式的基于多Agent的自动谈判中。%During the negotiation process of automated negotiation based on intelligent agent , the anegotiation agent usully adopts a fixed negotiation strategy , which limited its adaptability in the complex negotiation environment . Based on achievement of emotion theory research , we point out an emotional decision model to improve the degree of intelligence and adaptability of the agent .First, we analyse the emotional decision process of the agent in an au -tomated negotiation , then propose an emotional generation model and emotional decision model in general .Taking single attribute negotiation as an example , we establish a concrete emotional decision model of the negotiation a-gent .In comparison with non-emotional model , it shows that our emotional decision model can get better result . The results of this research can be applied to various forms of automatic negotiation based on multi -agent .

  11. Spatial analysis of private tanker water markets in Jordan: Using a hydroeconomic multi-agent model to simulate non-observed water transfers

    Science.gov (United States)

    Klassert, Christian; Yoon, Jim; Gawel, Erik; Sigel, Katja; Klauer, Bernd; Talozi, Samer; Lachaut, Thibaut; Selby, Philip; Knox, Stephen; Gorelick, Steven; Tilmant, Amaury; Harou, Julien; Mustafa, Daanish; Medellin-Azuara, Josue; Rajsekhar, Deepthi; Avisse, Nicolas; Zhang, Hua

    2017-04-01

    The country of Jordan is characterized by severe water scarcity and deficient public water supply networks. To address these issues, Jordan's water sector authorities have adopted a water rationing scheme implemented by interrupting piped water supply for several days per week. As in many arid countries around the world, this has led to the emergence of private markets of small-scale providers, delivering water via tanker trucks. On the one hand, these markets play a crucial role in meeting residential and commercial water demands by balancing the shortcomings of the public supply system. On the other hand, providers partially rely on illegal abstractions from rural ground and surface water sources, thereby circumventing regulatory efforts to conserve these resources. Private tanker water markets, therefore, provide a substantial contribution to consumer welfare while jeopardizing freshwater resource sustainability. Thus, a better understanding of these markets is of great importance for the formulation of policy interventions pursuing freshwater sustainability in a socially acceptable manner. Direct assessments of the size of these markets or their responses to policy interventions are, however, impeded by their partially illegal nature and the resulting lack of available information. To overcome this data collection challenge, we use a hydroeconomic multi-agent model developed in the Jordan Water Project to indirectly simulate country-wide tanker water market activities on the basis of demand and supply estimates. The demand for tanker water is conceptualized as a residual demand, remaining after a water user has depleted all available cheap and qualitatively reliable piped water. It is derived from residential and commercial demand functions on the basis of survey data. Tanker water supply is determined by farm simulation models calculating the groundwater pumping cost and the agricultural opportunity cost of tanker water. Finally, a spatial market algorithm

  12. Epistemic planning for single- and multi-agent systems

    DEFF Research Database (Denmark)

    Bolander, Thomas; Andersen, Mikkel Birkegaard

    2011-01-01

    . In planning, partial observability gives rise to an uncertainty about the world. For single-agent domains, this uncertainty can come from incomplete knowledge of the starting situation and from the nondeterminism of actions. In multi-agent domains, an additional uncertainty arises from the fact that other...... the specification of a more complex class of planning domains, than those simply concerned with simple facts about the world. We show how to model multi-agent planning problems using Kripke-models for representing world states, and event models for representing actions. Our mechanism makes use of slight...... observability, nondeterminism, knowledge and multiple agents. Finally, we show epistemic planning to be decidable in the single-agent case, but only semi-decidable in the multi-agent case....

  13. Robust consensus of multi-agent systems with noise

    Institute of Scientific and Technical Information of China (English)

    WANG Lin; LIU ZhiXin

    2009-01-01

    The consensus problem of multi-agent systems has attracted wide attention from researchers in recent years, following the initial work of Jadbabaie et al. on the analysis of a simplified Vicsek model. While the original Vicsek model contains noise effects, almost all the existing theoretical results on consensus problem, however, do not take the noise effects into account. The purpose of this paper is to initiate a study of the consensus problems under noise disturbances. First, the class of multi-agent systems under study is transformed into a general time-varying system with noise. Then, for such a system, the equivalent relationships are established among (ⅰ) robust consensus, (ⅱ) the positivity of the second smallest eigenvalue of a weighted Laplacian matrix, and (ⅲ) the joint connectivity of the associated dynamical neighbor graphs. Finally, this basic equivalence result is shown to be applicable to several classes of concrete multi-agent models with noise.

  14. Robot Control Using UML and Multi-agent System

    Directory of Open Access Journals (Sweden)

    Ales Pavliska

    2003-02-01

    Full Text Available Increased industrialization and new markets have led to an accumulation of used technical consumer goods, which results in greater exploitation of raw materials, energy and landfill sites. In order to reduce the use of natural resources conserve precious energy and limit the increase in waste volume. The application of disassembly techniques is the first step towards this prevention of waste. These techniques form a reliable and clean approach: "noble" or high-graded recycling. This paper presents a multi agent system for disassembly process, which is implemented in a computer-aided application for supervising of the disassembling system: the Interactive Intelligent Interface for Disassembling System. Unified modeling language diagrams are used for an internal and external definition of the disassembling system.

  15. Verifying Interlevel Relations within Multi-Agent Systems

    NARCIS (Netherlands)

    Sharpanskykh, A.; Treur, J.

    2006-01-01

    An approach to handle the complex dynamics of a multi-agent system is based on distinguishing aggregation levels by structuring the system into parts or components. The behavior of every aggregation level is specified by a set of dynamic properties for components and interactions at that level, expr

  16. Crowd evacuation model for large sports venues based on multi-Agent and Cellular Automata technology%Agent-CA的体育场馆人群疏散模型

    Institute of Scientific and Technical Information of China (English)

    曹爱春; 杨晓艇; 侯旭东

    2013-01-01

    A crowd evacuation model for large sports venues based on multi-agent and cellular automata technology according to the behavior characteristics and rules of evacuation is proposed. The cell in the cellular space occupied by virtual individuals is taken as an independent agent, and cellular and state are encapsulated and extended to the autonomy agent, and then individual differences are realized through the design of evacuation behavior strategy as the evolution rules to reflect the individual character, physical strength, mental effect on evacuation behavior. The evacuation simulation are carried out in sports venues. The results show that the proposed model fully considers the factors. Case evacuation is closer to the reality of large sports venues shortening the time of evacuation.%根据体育场馆人群疏散的特点与规律,提出一种基于多智能体和元胞自动机相融合的大型体育场馆人群疏散模型(Agent-CA)。将元胞空间中被虚拟人个体占据的元胞视为一个独立的智能体,将元胞及其状态进行封装,扩展为具有自主性的智能体,通过设计各种人群疏散行为策略做为演化规则,实现个体的差异性以体现个人个性、体力、心理等对疏散行为的影响,对体育场馆的人群疏散进行仿真实验。结果表明,Agent-CA综合了多智能体和元胞自动机的优点,充分考虑了个体内在因素,更接近现实大型体育场馆的人群疏散情形,缩短了疏散时间。

  17. 多智能体的设备采购合同管理系统建模与设计%Using Swarm Model to Analyze and Design Multi-Agent Based Equipment Purchasing Contract Management System

    Institute of Scientific and Technical Information of China (English)

    王玮; 徐一帆

    2012-01-01

    从现代设备采购合同管理的概念出发,首先介绍了设备采购合同管理所面临的新的挑战,然后提出了基于多智能体的设备采购合同管理系统模型.多智能体系统和设备采购合同管理系统都是非常复杂的.为了降低开发基于多智能体设备采购合同管理系统的难度,采用SWARM建模方法,分析和设计了一个简化的设备采购合同管理系统.%Based on the concept of modern equipment purchasing contract management, we first introduce the new challenge to equipment purchasing contract management, and then present a new equipment purchasing contract management framework based on multi-agent theory. Since multi-agent system and equipment purchasing contract management system are both very complex, we use swarm model to analyze and design a simplified equipment purchasing contract management system in order to reduce the difficulty of developing the multi-agent based equipment purchasing contract management system.

  18. Deliberate evolution in multi-agent systems

    NARCIS (Netherlands)

    Brazier, F.M.T.; Jonker, C.M.; Treur, J.; Wijngaards, N.J.E.

    1998-01-01

    This paper presents an architecture for an agent capable of deliberation about the creation of new agents, and of actually creating a new agent in the multi-agent system, on the basis of this deliberation. After its creation the new agent participates fully in the running multi-agent system. The age

  19. Planning of Autonomous Multi-agent Intersection

    Directory of Open Access Journals (Sweden)

    Viksnin Ilya I.

    2016-01-01

    Full Text Available In this paper, we propose a traffic management system with agents acting on behalf autonomous vehicle at the crossroads. Alternatively to existing solutions based on usage of semiautonomous control systems with the control unit, proposed in this paper algorithm apply the principles of decentralized multi-agent control. Agents during their collaboration generate intersection plan and determinate the optimal order of road intersection for a given criterion based on the exchange of information about them and their environment. The paper contains optimization criteria for possible routes selection and experiments that perform in order to estimate the proposed model. Experiment results show that this model can significantly reduce traffic density compared to the traditional traffic management systems. Moreover, the proposed algorithm efficiency increases with road traffic density. Furthermore, the availability of control unit in the system significantly reduces the negative impact of possible failures and hacker attacks.

  20. Allocation mechanism in inbound logistics based on multi-principal and multi-agent model%供应物流利益分配机制研究

    Institute of Scientific and Technical Information of China (English)

    周欣; 霍佳震

    2011-01-01

    This paper investigates the allocation mechanisms in inbound logistics system consisting of single supplier, single manufacturer and multiple third party logistics providers. The aim is to compare profit sharing and cost allocation in two outsourcing modes, direct outsourcing and lead logistics partner (LLP). Multi-principal and multi-agent models are applied to investigate the system and solution procedures are proposed. Comparing the profit of all parties, results reveal that the manufacturer can obtain more profits in LLP mode than direct outsourcing, and the extra profits are generated from specialized management of LLP. When LLP' s reserved utility is the same with direct sourcing mode, the extra profits contributed by LLP are deprived and allocated between the manufacturer and the supplier. When LLP increases its reserved utility, it can share the extra profits with the manufacturer, and its income is the same with direct outsourcing mode.%以单供应商-单制造商-多个第三方物流企业组成的供应物流外包系统为对象进行研究,对直接外包模式和领导物流合作伙伴(LLP)模式下三方企业的利益分配问题进行讨论.建立多委托人-多代理人的成本整合模型并求解,比较分析了在直接外包模式与LLP模式下三方企业的成本分摊与利益分配情况.研究结果揭示:1)LLP模式与直接外包模式相比制造商的总收益增加,该部分收益增加来自于专业化分工;2)若LLP的保留效用不变,LLP专业化分工获得的额外收益全部被制造商从报酬支付中剥夺,并由制造商和供应商分享;3)LLP适当调整保留效用后,获得的报酬与直接外包方式一致,并与制造商共同分享额外收益.

  1. CONVERGENCE OF A CLASS OF MULTI-AGENT SYSTEMS IN PROBABILISTIC FRAMEWORK

    Institute of Scientific and Technical Information of China (English)

    Gongguo TANG; Lei GUO

    2007-01-01

    Multi-agent systems arise from diverse fields in natural and artificial systems, and a basic problem is to understand how locally interacting agents lead to collective behaviors (e.g., synchronization) of the overall system. In this paper, we will consider a basic class of multi-agent systems that are described by a simplification of the well-known Vicsek model. This model looks simple, but the rigorous theoretical analysis is quite complicated, because there are strong nonlinear interactions among the agents in the model. In fact, most of the existing results on synchronization need to impose a certain connectivity condition on the global behaviors of the agents' trajectories (or on the closed-loop dynamic neighborhood graphs), which are quite hard to verify in general. In this paper, by introducing a probabilistic framework to this problem, we will provide a complete and rigorous proof for the fact that the overall multi-agent system will synchronize with large probability as long as the number of agents is large enough. The proof is based on a detailed analysis of both the dynamical properties of the nonlinear system evolution and the asymptotic properties of the spectrum of random geometric graphs.

  2. Cooperative Epistemic Multi-Agent Planning With Implicit Coordination

    DEFF Research Database (Denmark)

    Engesser, Thorsten; Bolander, Thomas; Mattmüller, Robert

    2015-01-01

    , meaning coordination is only allowed implicitly by means of the available epistemic actions. While this approach can be fruitfully applied to model reasoning in some simple social situations, we also provide some benchmark applications to show that the concept is useful for multi-agent systems in practice.......Epistemic Planning has been used to achieve ontic and epistemic control in multi-agent situations. We extend the formalism to include perspective shifts, allowing us to define a class of cooperative problems in which both action planning and execution is done in a purely distributed fashion...

  3. Distributed formation output regulation of switching heterogeneous multi-agent systems

    Science.gov (United States)

    Wang, Xiaoli

    2013-11-01

    In this article, the distributed formation output regulation problem of linear heterogeneous multi-agent systems with uncertainty under switching topology is considered. It is a generalised framework for multi-agent coordination problems, which contains or concerns a variety of important multi-agent problems in a quite unified way. Its background includes active leader following formation for the agents to maintain desired relative distances and orientations to the leader with a predefined trajectory, and multi-agent formation with environmental inputs. With the help of canonical internal model we design a distributed dynamic output feedback to handle the distributed formation output regulation problem.

  4. MATT: Multi Agents Testing Tool Based Nets within Nets

    Directory of Open Access Journals (Sweden)

    Sara Kerraoui

    2016-12-01

    As part of this effort, we propose a model based testing approach for multi agent systems based on such a model called Reference net, where a tool, which aims to providing a uniform and automated approach is developed. The feasibility and the advantage of the proposed approach are shown through a short case study.

  5. A Game Theory Negotiation Model Based on Multi-Agent System%基于Multi-agent的对策论协商模型

    Institute of Scientific and Technical Information of China (English)

    张虹; 李晓; 邱玉辉

    2000-01-01

    In traditional Game Theory, there do not exist or exist many Nash balance points. So it is very difficult to find a solution,which could make every agent to be satisfied. At a view of human's daily life,this article tries to draw into a trusty third party to deal with some comparatively difficult game and condition, and draw into two communication behaviors: Asking Guarantee and Offering Compensation. That will make multi-agent find a compromise,stable,comparatively good solution in negotiation,which would satisfy every agent.

  6. Research on interaction of multi-Agents based on game theory learning%基于博弈学习多Agent交互研究

    Institute of Scientific and Technical Information of China (English)

    陶雪丽; 郑延斌; 王宁

    2014-01-01

    由于人们之间的博弈行为受多种因素的制约和影响,而传统的博弈方法很难处理这种影响因素多变、交互关系复杂的博弈问题,给出一个基于博弈学习的多智能体(multi‐Agent)交互模型,并以此为基础构建多Agent交互的博弈学习方法。对合作小组中成员的行为进行修正,通过博弈学习中学习因子的更新得到局部均衡,达到全局利益优化。实例仿真验证了该方法的可行性。%Taking the increasingly complex sociability into consideration ,people’s behavior is restricted and influenced by many factors .However ,it is very difficult for the traditional game method to deal with the game problems with polytrophic influence factors and complex interactive relations .A multi‐Agent interaction model based on game theory learning was given to solve this problem .On this basis of the model ,a multi‐Agent’s interactive game learning methods was constructed ,which was used to correct the behaviors of team members ,and partial equilibrium was achieved by updating the learning factors of game learning , so that the global optimization was ultimately achieved .The simulation results show that the method is feasible .

  7. A Multi-Agent System for Tracking the Intent of Surface Contacts in Ports and Waterways

    Science.gov (United States)

    2005-03-01

    identify asymmetric maritime threats in port and waterways. Each surface track is monitored by a compound multi - agent system that comprise of the several...intent models, each containing a nested multi - agent system . The attributes that define intent models of friendly, neutral, unknown and potentially

  8. Building Multi-Agent Systems Using Jason

    DEFF Research Database (Denmark)

    Boss, Niklas Skamriis; Jensen, Andreas Schmidt; Villadsen, Jørgen

    2010-01-01

    We provide a detailed description of the Jason-DTU system, including the used methodology, tools as well as team strategy. We also discuss the experience gathered in the contest. In spring 2009 the course “Artificial Intelligence and Multi- Agent Systems” was held for the first time...... on the Technical University of Denmark (DTU). A part of this course was a short introduction to the multi-agent framework Jason, which is an interpreter for AgentSpeak, an agent-oriented programming language. As the final project in this course a solution to the Multi-Agent Programming Contest from 2007, the Gold...

  9. Building Multi-Agent Systems Using Jason

    DEFF Research Database (Denmark)

    Boss, Niklas Skamriis; Jensen, Andreas Schmidt; Villadsen, Jørgen

    2010-01-01

    We provide a detailed description of the Jason-DTU system, including the used methodology, tools as well as team strategy. We also discuss the experience gathered in the contest. In spring 2009 the course “Artificial Intelligence and Multi- Agent Systems” was held for the first time...... on the Technical University of Denmark (DTU). A part of this course was a short introduction to the multi-agent framework Jason, which is an interpreter for AgentSpeak, an agent-oriented programming language. As the final project in this course a solution to the Multi-Agent Programming Contest from 2007, the Gold...

  10. Theories about architecture and performance of multi-agent systems

    NARCIS (Netherlands)

    Gazendam, Henk W.M.; Jorna, René J.

    1998-01-01

    Multi-agent systems are promising as models of organization because they are based on the idea that most work in human organizations is done based on intelligence, communication, cooperation, and massive parallel processing. They offer an alternative for system theories of organization, which are ra

  11. Following Car Algorithm With Multi Agent Randomized System

    Directory of Open Access Journals (Sweden)

    Mounir Gouiouez

    2013-08-01

    Full Text Available We present a new Following Car Algorithm in Microscopic Urban Traffic Models which integrates some real-life factors that need to be considered, such as the effect of random distributions in the car speed, acceleration, entry of lane… Our architecture is based on Multi-Agent Randomized Systems (MARSdeveloped in earlier publications

  12. Nautical traffic simulation with multi-agent system

    NARCIS (Netherlands)

    Xiao, F.; Ligteringen, H.; Van Gulijk, C.; Ale, B.J.M.

    2013-01-01

    This paper describes a microscopic nautical traffic simulation model based on multi-agent system. The ship traffic is produced from the behavior of autonomous agents that represent ships. Especially, we look at the behaviors for collision avoidance in different encountering situations with different

  13. Nautical traffic simulation with multi-agent system

    NARCIS (Netherlands)

    Xiao, F.; Ligteringen, H.; Van Gulijk, C.; Ale, B.J.M.

    2013-01-01

    This paper describes a microscopic nautical traffic simulation model based on multi-agent system. The ship traffic is produced from the behavior of autonomous agents that represent ships. Especially, we look at the behaviors for collision avoidance in different encountering situations with different

  14. 基于Multi-Agent的防空导弹武器系统模型设计%Design of Multi-Agent Based Model on Air Defense Missile Weapon System

    Institute of Scientific and Technical Information of China (English)

    陈宝印; 栾立秋; 张成斌

    2011-01-01

    建立科学的结构模型是进行防空导弹武器系统仿真的基础和关键环节.针对防空导弹武器系统的特点,提出了基于Multi-Agent的防空导弹武器系统模型建模方法,设计了防空导弹武器系统模型结构.利用Multi-Agent建模技术,把防空导弹武器系统实体映射成相应的Multi-Agent系统,并以Agent的形式对防空导弹武器系统这一客观复杂系统进行了深刻的认识,为防空导弹武器系统建模仿真奠定了基础.%Forming a scientific system model is the key of Air Defense Missile Weapon System simulation. According to the characters of Air Defense Missile Weapon System, a modeling method of multi-agent based model on Air Defense Missile Weapon System is given. The framework on Air Defense Missile Weapon System is designed. Using the Multi-Agent modeling technology, maps the Air Defense Missile Weapon System entity the corresponding Multi-Agent system, and carries on the profound understanding by the Agent form to Air Defense Missile Weapon System this objective complicated, which will be helpful to realize the modeling simulation on Air Defense Missile Weapon System.

  15. Multi-Agent System for Resource Reliability

    Science.gov (United States)

    2007-11-02

    1 research and development of a prototype for network resource reliability has laid the groundwork for the Phase 2 implementation of MASRR, a Multi - Agent System for Resource Reliability, and its eventual commercialization.

  16. Massive Multi-Agent Systems Control

    Science.gov (United States)

    Campagne, Jean-Charles; Gardon, Alain; Collomb, Etienne; Nishida, Toyoaki

    2004-01-01

    In order to build massive multi-agent systems, considered as complex and dynamic systems, one needs a method to analyze and control the system. We suggest an approach using morphology to represent and control the state of large organizations composed of a great number of light software agents. Morphology is understood as representing the state of the multi-agent system as shapes in an abstract geometrical space, this notion is close to the notion of phase space in physics.

  17. Research on the B2 B Trust Evaluation Model Based on Multi-Agent under the E-Commerce Environment%电子商务环境下基于 Multi-Agent 的B2B 信任评价模型研究

    Institute of Scientific and Technical Information of China (English)

    孙华梅; 邹维娜

    2014-01-01

    电子商务的发展为企业的合作提供了机遇,同时也带来了诸多挑战。企业在合作过程中表现出了许多问题,例如信任的缺失,缺乏可以合理全面测量企业信任度的方法等。本文运用Multi-agent技术,建立了结合企业基本信息的声誉评价Agent和结合特定交易信息的单次交易评价Agent的信任评价指标体系,并在此基础上构建了基于Multi-agent的B2B信任评价模型,最后进行了仿真实验。论文的研究对于企业在电子商务环境下选择合适的合作伙伴,解决合作中的信任问题,适应电子商务发展的需要具有一定的意义。%The development of e-commerce has brought many opportunities to business cooperation .In the process of cooperation there exist some problems , such as the lack of trust between enterprises and lack of reasonable comprehensive measuring method of enterprise credibility .This paper takes the commercial enterprises in B 2 B market as the research object , combines with the Multi-agent artificial intelligence technology , establishes a trust evaluation index system of reputation rating Agent with the basic information of the enterprise and single transac -tion Agent with specific transaction information , builds a trust evaluation model based on Multi-agent and carries out the simulation experiment at last .The research conducted by this paper will help enterprises select the appro-priate partners , solve trust issues in business cooperation and adapt to the needs of the development of e-com-merce.

  18. Berthing control with multi-agent system; Multi agent system ni yoru chakusan seigyo

    Energy Technology Data Exchange (ETDEWEB)

    Ito, H. [Tokyo Univ. (Japan)

    1998-12-31

    The berthing of a ship is a kind of control operations of position, speed and direction of a ship in order to bring a ship alongside a quay. Berthing control is accompanied with a hard problem in which the 6 freedoms of position and speed in 3 directions such as fore and behind, right and left and a revolution must be controlled. In this study, a concept of the agent was introduced as a means of berthing. The agent is a computer program which can be worked in a person`s place. If an autonomous intelligence is carried on each element such as a tugboat or a propeller of ship, the element is able to act based on judgement decided by itself without an instruction from a control center. Thereby, the berthing control system as a multi-agent system having an adaptability and a cooperativeness will be realized. Then the multi-agent system to help berthing was constructed by applying the Muller`s three phase model as a cooperative autonomous agent and by sharing the role of each phase. 8 refs., 12 figs., 1 tab.

  19. An Approach for Autonomy: A Collaborative Communication Framework for Multi-Agent Systems

    Science.gov (United States)

    Dufrene, Warren Russell, Jr.

    2005-01-01

    Research done during the last three years has studied the emersion properties of Complex Adaptive Systems (CAS). The deployment of Artificial Intelligence (AI) techniques applied to remote Unmanned Aerial Vehicles has led the author to investigate applications of CAS within the field of Autonomous Multi-Agent Systems. The core objective of current research efforts is focused on the simplicity of Intelligent Agents (IA) and the modeling of these agents within complex systems. This research effort looks at the communication, interaction, and adaptability of multi-agents as applied to complex systems control. The embodiment concept applied to robotics has application possibilities within multi-agent frameworks. A new framework for agent awareness within a virtual 3D world concept is possible where the vehicle is composed of collaborative agents. This approach has many possibilities for applications to complex systems. This paper describes the development of an approach to apply this virtual framework to the NASA Goddard Space Flight Center (GSFC) tetrahedron structure developed under the Autonomous Nano Technology Swarm (ANTS) program and the Super Miniaturized Addressable Reconfigurable Technology (SMART) architecture program. These projects represent an innovative set of novel concepts deploying adaptable, self-organizing structures composed of many tetrahedrons. This technology is pushing current applied Agents Concepts to new levels of requirements and adaptability.

  20. INFORMATION SECURITY ASSESSMENT FOR MULTI-AGENT ROBOTIC SYSTEM UNDER THE INFORMATION IMPACT

    Directory of Open Access Journals (Sweden)

    I. S. Lebedev

    2014-03-01

    Full Text Available The paper deals with the features of information security guaranteeing of the multi-agent robotic system with self-organizing behavior. The main attention is paid to the possibility of implementing information security threats on the level of interaction between the individual elements. The definitions “information impact” and “disorganization” are introduced for multi-agent robotic system. As a criterion for the system safety state assessment, probability is selected of number of items available at time t for required task execution of multi-agent robotic system, not suffering from the effects of the information impact. A method for estimating the probability of the multi-agent robotic system being in a safe state is proposed. The method is based on mathematical apparatus of Markov chains. Its distinction is the usage of functional dependencies for intensity information impact. The method gives the possibility to identify required characteristics of the individual elements in the early stages of development. Graphs of probability for secure system state of group of elements at different intensities of information impact by intruder and intensities are given, characterizing software and hardware capabilities of element output from the unsafe condition. The system behavior is modeled in the dynamics for different functional dependencies of the information impact intensity. An example of group consisting of four identical elements staying in a safe condition and attacking by three disorganizing elements is shown. Technique of obtaining numerical values for the intensities of information impact at successive instants is revealed.

  1. Multi-agent systems and decentralized artificial superintelligence

    OpenAIRE

    Ponomarev, S.; Voronkov, A. E.

    2017-01-01

    Multi-agents systems communication is a technology, which provides a way for multiple interacting intelligent agents to communicate with each other and with environment. Multiple-agent systems are used to solve problems that are difficult for solving by individual agent. Multiple-agent communication technologies can be used for management and organization of computing fog and act as a global, distributed operating system. In present publication we suggest technology, which combines decentrali...

  2. Towards a multi-agent system for regulated information exchange in crime investigations

    NARCIS (Netherlands)

    Dijkstra, Pieter; Prakken, H.; Vey Mestdagh, C.N.J. de

    2005-01-01

    This paper outlines a multi-agent architecture for regulated information exchange of crime investigation data between police forces. Interactions between police officers about information exchange are analysed as negotiation dialogues with embedded persuasion dialogues. An architecture is then propo

  3. Brahms An Agent-Oriented Language for Work Practice Simulation and Multi-Agent Systems Development

    Science.gov (United States)

    Sierhuis, Maarten; Clancey, William J.; van Hoof, Ron J. J.

    Brahms is a multi-agent modeling language for simulating human work practice that emerges from work processes in organizations. The same Brahms language can be used to implement and execute distributed multi-agent systems, based on models of work practice that were first simulated. Brahms demonstrates how a multi-agent belief-desire-intention language, symbolic cognitive modeling, traditional business process modeling, activity-and situated cognition theories are brought together in a coherent approach for analysis and design of organizations and human-centered systems.

  4. Continuum deformation of multi-agent systems

    CERN Document Server

    Rastgoftar, Hossein

    2016-01-01

    This monograph presents new algorithms for formation control of multi-agent systems (MAS) based on principles of continuum mechanics. Beginning with an overview of traditional methods, the author then introduces an innovative new approach whereby agents of an MAS are considered as particles in a continuum evolving in ℝn whose desired configuration is required to satisfy an admissible deformation function. The necessary theory and its validation on a mobile-agent-based swarm test bed are considered for two primary tasks: homogeneous transformation of the MAS and deployment of a random distribution of agents on a desired configuration. The framework for this model is based on homogeneous transformations for the evolution of an MAS under no inter-agent communication, local inter-agent communication, and intelligent perception by agents. Different communication protocols for MAS evolution, the robustness of tracking of a desired motion by an MAS evolving in ℝn, and the effect of communication delays in an MAS...

  5. Multi-Agent Only-Knowing Revisited

    CERN Document Server

    Belle, Vaishak

    2010-01-01

    Levesque introduced the notion of only-knowing to precisely capture the beliefs of a knowledge base. He also showed how only-knowing can be used to formalize non-monotonic behavior within a monotonic logic. Despite its appeal, all attempts to extend only-knowing to the many agent case have undesirable properties. A belief model by Halpern and Lakemeyer, for instance, appeals to proof-theoretic constructs in the semantics and needs to axiomatize validity as part of the logic. It is also not clear how to generalize their ideas to a first-order case. In this paper, we propose a new account of multi-agent only-knowing which, for the first time, has a natural possible-world semantics for a quantified language with equality. We then provide, for the propositional fragment, a sound and complete axiomatization that faithfully lifts Levesque’s proof theory to the many agent case. We also discuss comparisons to the earlier approach by Halpern and Lakemeyer.

  6. Complementary methods to plan pedestrian evacuation of the French Riviera's beaches in case of tsunami threat: graph- and multi-agent-based modelling

    Directory of Open Access Journals (Sweden)

    A. Sahal

    2013-07-01

    Full Text Available Small amplitude tsunamis have impacted the French Mediterranean shore (French Riviera in the past centuries. Some caused casualties; others only generated economic losses. While the North Atlantic and Mediterranean tsunami warning system is being tested and is almost operational, no awareness and preparedness measure is being implemented at a local scale. Evacuation is to be considered along the French Riviera, but no plan exists within communities. We show that various approaches can provide local stakeholders with evacuation capacities assessments to develop adapted evacuation plans through the case study of the Cannes–Antibes region. The complementarity between large- and small-scale approaches is demonstrated with the use of macro-simulators (graph-based and micro-simulators (multi-agent-based to select shelter points and choose evacuation routes for pedestrians located on the beach. The first one allows automatically selecting shelter points and measuring and mapping their accessibility. The second one shows potential congestion issues during pedestrian evacuations, and provides leads for the improvement of urban environment. Temporal accessibility to shelters is compared to potential local and distal tsunami travel times, showing a 40 min deficit for an adequate crisis management in the first scenario, and a 30 min surplus for the second one.

  7. Complementary methods to plan pedestrian evacuation of the French Riviera's beaches in case of tsunami threat: graph- and multi-agent-based modelling

    Science.gov (United States)

    Sahal, A.; Leone, F.; Péroche, M.

    2013-07-01

    Small amplitude tsunamis have impacted the French Mediterranean shore (French Riviera) in the past centuries. Some caused casualties; others only generated economic losses. While the North Atlantic and Mediterranean tsunami warning system is being tested and is almost operational, no awareness and preparedness measure is being implemented at a local scale. Evacuation is to be considered along the French Riviera, but no plan exists within communities. We show that various approaches can provide local stakeholders with evacuation capacities assessments to develop adapted evacuation plans through the case study of the Cannes-Antibes region. The complementarity between large- and small-scale approaches is demonstrated with the use of macro-simulators (graph-based) and micro-simulators (multi-agent-based) to select shelter points and choose evacuation routes for pedestrians located on the beach. The first one allows automatically selecting shelter points and measuring and mapping their accessibility. The second one shows potential congestion issues during pedestrian evacuations, and provides leads for the improvement of urban environment. Temporal accessibility to shelters is compared to potential local and distal tsunami travel times, showing a 40 min deficit for an adequate crisis management in the first scenario, and a 30 min surplus for the second one.

  8. Cooperative control of multi-agent systems a consensus region approach

    CERN Document Server

    Li, Zhongkui

    2014-01-01

    Distributed controller design is generally a challenging task, especially for multi-agent systems with complex dynamics, due to the interconnected effect of the agent dynamics, the interaction graph among agents, and the cooperative control laws. Cooperative Control of Multi-Agent Systems: A Consensus Region Approach offers a systematic framework for designing distributed controllers for multi-agent systems with general linear agent dynamics, linear agent dynamics with uncertainties, and Lipschitz nonlinear agent dynamics.Beginning with an introduction to cooperative control and graph theory,

  9. RESEARCH ON MENTAL COEFFICIENT-BASED MULTI-AGENT CONTRACT NET COLLABORATIVE MODEL%基于心智系数的多Agent合同网协作模型研究

    Institute of Scientific and Technical Information of China (English)

    陈明; 简玉梅

    2013-01-01

    In multi-Agent system,commonly used negotiation model is the contract net protocol.Mter analysing the advantages and disadvantages of classic contract net protocol,we present a multi-Agent collaborative model,which is based on acquaintance model and mental coefficient.In the process of system construction,we introduce the concepts of trust degree,familiar degree,reliability degree and busy degree in mental state,present theupdate rules of mantel coefficient,and design and implement the construction of mental-based contract net model.Finally,we use Robot soccer competition as the background and carry out the simulation test on the negotiation process together with its result analysis.It is proved that the model can effectively reduce the time and communication traffic of negotiation on the basis of ensuring the negotiation quality,it achieves the efficient collaboration of multi-Agent system.%在多Agent系统中,常用的协商模型为合同网协议.在分析了经典合同协议优缺点后,提出基于熟人模型和心智系数合同协议的多Agent协作模型.在系统构建过程中引入心智状态中的信任度、熟悉度、他信度、繁忙度等概念,提出心智系数的更新规则并设计实现基于心智的合同网模型的构建.最后以机器人足球比赛为背景,对协商过程进行模拟测试与结果分析,证实了该模型能在保证协商质量的基础上有效地降低协商的时间和通信量,实现多Agent系统的高效协作.

  10. Decentralized control of multi-agent aerial transportation system

    KAUST Repository

    Toumi, Noureddine

    2017-04-01

    Autonomous aerial transportation has multiple potential applications including emergency cases and rescue missions where ground intervention may be difficult. In this context, the following work will address the control of multi-agent Vertical Take-off and Landing aircraft (VTOL) transportation system. We develop a decentralized method. The advantage of such a solution is that it can provide better maneuverability and lifting capabilities compared to existing systems. First, we consider a cooperative group of VTOLs transporting one payload. The main idea is that each agent perceive the interaction with other agents as a disturbance while assuming a negotiated motion model and imposing certain magnitude bounds on each agent. The theoretical model will be then validated using a numerical simulation illustrating the interesting features of the presented control method. Results show that under specified disturbances, the algorithm is able to guarantee the tracking with a minimal error. We describe a toolbox that has been developed for this purpose. Then, a system of multiple VTOLs lifting payloads will be studied. The algorithm assures that the VTOLs are coordinated with minimal communication. Additionally, a novel gripper design for ferrous objects is presented that enables the transportation of ferrous objects without a cable. Finally, we discuss potential connections to human in the loop transportation systems.

  11. Deliberate Evolution in Multi-Agent Systems

    NARCIS (Netherlands)

    Brazier, F.M.T.; Jonker, C.M.; Treur, J.; Wijngaards, N.J.E.

    2000-01-01

    This paper presents an architecture for an agent capable of deliberation about the creation of new agents, and of actually creating a new agent in the multi-agent system, on the basis of this deliberation. The agent architecture is based on an existing

  12. Multi-Agent Planning with Planning Graph

    NARCIS (Netherlands)

    Bui, The Duy; Jamroga, Wojciech

    2003-01-01

    In this paper, we consider planning for multi-agents situations in STRIPS-like domains with planning graph. Three possible relationships between agents' goals are considered in order to evaluate plans: the agents may be collaborative, adversarial or indifferent entities. We propose algorithms to dea

  13. Multi-Agent Systems Design for Novices

    Science.gov (United States)

    Lynch, Simon; Rajendran, Keerthi

    2005-01-01

    Advanced approaches to the construction of software systems can present difficulties to learners. This is true for multi-agent systems (MAS) which exhibit concurrency, non-determinacy of structure and composition and sometimes emergent behavior characteristics. Additional barriers exist for learners because mainstream MAS technology is young and…

  14. Integration of Heterogeneous Systems as Multi-Agent Systems

    Directory of Open Access Journals (Sweden)

    Ammar Lahlouhi

    2014-08-01

    Full Text Available Systems integration is a difficult matter particularly when its components are varied. The problem becomes even more difficult when such components are heterogeneous such as humans, robots and software systems. Currently, the humans are regarded as users of artificial systems (robots and software systems. This has several disadvantages such as: (1 incoherence of artificial systems exploitation where humans’ roles are not clear, and (2 vain research of a user’s universal model. In this paper, we adopted a cooperative approach where the system’s components are regarded as being of the same level and they cooperate for the service of the global system. We concretized such approach by considering humans, robots and software systems as autonomous agents assuming roles in an organization. The latter will be implemented as a multi-agent system developed using a multi-agent development methodology.

  15. A meta-ontological framework for multi-agent systems design

    OpenAIRE

    Sokolova, Marina; Fernández Caballero, Antonio

    2007-01-01

    The paper introduces an approach to using a meta-ontology framework for complex multi-agent systems design, and illustrates it in an application related to ecological-medical issues. The described shared ontology is pooled from private sub-ontologies, which represent a problem area ontology, an agent ontology, a task ontology, an ontology of interactions, and the multi-agent system architecture ontology.

  16. A meta-ontological framework for multi-agent systems design

    OpenAIRE

    Sokolova, Marina; Fernández Caballero, Antonio

    2007-01-01

    The paper introduces an approach to using a meta-ontology framework for complex multi-agent systems design, and illustrates it in an application related to ecological-medical issues. The described shared ontology is pooled from private sub-ontologies, which represent a problem area ontology, an agent ontology, a task ontology, an ontology of interactions, and the multi-agent system architecture ontology.

  17. HARDWARE IN THE LOOP SIMULATOR FOR MULTI AGENT UNMANNED AERIAL VEHICLES ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Kamal S. Ali

    2013-01-01

    Full Text Available This study describes a Multi-Agent Hardware In the Loop Simulator (HILS for Unmanned Aerial Vehicles’ (UAV autopilots. This HILS system allows multiple autopilots to fly multiple virtual airframes in the same virtual environment allowing these agents to interact as a swarm. This system makes the exploration and evaluation of Multi Agent Systems (MAS possible at minimal cost.

  18. Research of engineering project portfolio decision model based on multi-agents%基于多主体的工程项目组合决策模型研究

    Institute of Scientific and Technical Information of China (English)

    李默; 杨彬

    2011-01-01

    为了保证工程项目组合决策流程的顺利实施,将多主体系统应用于决策流程中,构建了基于多主体的工程项目组合决策流程模型。将具有自适应能力的决策主体作为模型的核心单元,设计了决策主体的逻辑结构和行为推理算法,并将工程项目组合决策流程划分为企业战略评定、单个项目评价、项目组合选择优化、项目组合执行控制以及项目组合调整5个阶段,分析了每个阶段的具体功能。最后通过模型在某建筑企业的具体应用证明了其有效性。%In order to guarantee the smooth implementation of engineering project portfolio decision process,multi-agents system is applied to the decision process.The engineering project portfolio decision process model based on multi-agents is constructed.An adaptive decision agent is the core module of the model.The paper designs logical structure and behavior inference algorithm of decision agent,and divides decision process into five stages: enterprises strategic assessment stage,single project evaluation stage,project portfolio selection and optimization stage,project portfolio implementation stage and project portfolio adjustment stage,analyzing the specific function of each stage.Finally,the model is effectively applied in a construction enterprise.

  19. 多Agent信念修正研究%The Research of Multi-agent Belief Revision

    Institute of Scientific and Technical Information of China (English)

    孙召春; 高阳; 贾松茂; 陈世福

    2003-01-01

    Belief Revision is a theory that studies how to integrate new information into original belief set. Classical BR theory uses AGM frame, but it only resolves problems in single agent BR system. Multi-agent BR faces problems such as the collision of many information sources and how to maximize the logic consistence of multi-agent system. On the basis of game theory model, we form profit matrix under different BR strategies in multi-agent system and try to get the best strategy that satisfies logic consistence of the system through negotiation.

  20. Study on Models of Multi-Agent System Based Group Aircraft Cooperative Air Combat Command Control System%基于 Multi-Agent System的群机协同空战指挥控制系统模型的研究

    Institute of Scientific and Technical Information of China (English)

    刘金星; 佟明安

    2001-01-01

    研究了由多个智能Agent(Multi-Agent System)组成的群机协同空战指挥控制系统的总体结构及基于BDI(Belief、Desire、Intention)结构的Agent对空战环境的感知模型、作战意图模型、决策模型和通讯行为.

  1. Multi-agent programming languages, tools and applications

    CERN Document Server

    Seghrouchni, Amal El Fallah; Dastani, Mehdi; Bordini, Rafael H

    2009-01-01

    Multi-Agent Systems are a promising technology to develop the next generation open distributed complex software systems. This title presents a number of mature and influential multi-agent programming languages, platforms, development tools and methodologies, and realistic applications.

  2. Improving Multi-Agent Systems Using Jason

    DEFF Research Database (Denmark)

    Vester, Steen; Boss, Niklas Skamriis; Jensen, Andreas Schmidt

    2011-01-01

    We describe the approach used to develop the multi-agent system of herders that competed as the Jason-DTU team at the Multi-Agent Programming Contest 2010. We also participated in 2009 with a system developed in the agentoriented programming language Jason which is an extension of AgentSpeak. We...... used the implementation from 2009 as a foundation and therefore much of the work done this year was on improving that implementation. We present a description which includes design and analysis of the system as well as the main features of our agent team strategy. In addition we discuss...... the technologies used to develop this system as well as our future goals in the area....

  3. Autonomous Formations of Multi-Agent Systems

    Science.gov (United States)

    Dhali, Sanjana; Joshi, Suresh M.

    2013-01-01

    Autonomous formation control of multi-agent dynamic systems has a number of applications that include ground-based and aerial robots and satellite formations. For air vehicles, formation flight ("flocking") has the potential to significantly increase airspace utilization as well as fuel efficiency. This presentation addresses two main problems in multi-agent formations: optimal role assignment to minimize the total cost (e.g., combined distance traveled by all agents); and maintaining formation geometry during flock motion. The Kuhn-Munkres ("Hungarian") algorithm is used for optimal assignment, and consensus-based leader-follower type control architecture is used to maintain formation shape despite the leader s independent movements. The methods are demonstrated by animated simulations.

  4. Improving Multi-Agent Systems Using Jason

    DEFF Research Database (Denmark)

    Vester, Steen; Boss, Niklas Skamriis; Jensen, Andreas Schmidt

    2011-01-01

    We describe the approach used to develop the multi-agent system of herders that competed as the Jason-DTU team at the Multi-Agent Programming Contest 2010. We also participated in 2009 with a system developed in the agentoriented programming language Jason which is an extension of AgentSpeak. We...... used the implementation from 2009 as a foundation and therefore much of the work done this year was on improving that implementation. We present a description which includes design and analysis of the system as well as the main features of our agent team strategy. In addition we discuss...... the technologies used to develop this system as well as our future goals in the area....

  5. THE INTEGRATED AGENT IN MULTI-AGENT SYSTEMS

    OpenAIRE

    Maleković, Mirko; Čubrilo, Mirko

    2000-01-01

    [n this paper, we characterize the integrated agent in multi-agent systems. The following result is proved: if a multi-agent system is reflexive (symmetric, transitive, Euclidean) then the integrated agent of the multi-agent system is reflexive (symmetric, transitive, Euclidean), respectively. We also prove that the analogous result does not hold for multi-agent system's serial ness. A knowledge relationship between the integrated agent and agents in a multiagent system is presented.

  6. Distributed MPC based consensus for single-integrator multi-agent systems.

    Science.gov (United States)

    Cheng, Zhaomeng; Fan, Ming-Can; Zhang, Hai-Tao

    2015-09-01

    This paper addresses model predictive control schemes for consensus in multi-agent systems (MASs) with discrete-time single-integrator dynamics under switching directed interaction graphs. The control horizon is extended to be greater than one which endows the closed-loop system with extra degree of freedom. We derive sufficient conditions on the sampling period and the interaction graph to achieve consensus by using the property of infinite products of stochastic matrices. Consensus can be achieved asymptotically if the sampling period is selected such that the interaction graph among agents has a directed spanning tree jointly. Significantly, if the interaction graph always has a spanning tree, one can select an arbitrary large sampling period to guarantee consensus. Finally, several simulations are conducted to illustrate the effectiveness of the theoretical results.

  7. Continuous Explanation Generation in a Multi-Agent Domain

    Science.gov (United States)

    2015-01-01

    International Conference on Autonomous Agents and Multi - Agent Systems (pp. 989-996). Valencia, Spain: IFAAMAS. Molineaux, M., Klenk, M., & Aha, D.W. (2010...Continuous Explanation Generation in a Multi - Agent Domain Matthew Molineaux MATTHEW.MOLINEAUX@KNEXUSRESEARCH.COM Knexus Research Corporation, 9120...Abstract An agent operating in a dynamic, multi - agent environment with partial observability should continuously generate and maintain an explanation

  8. Multi-agent Justification Logic : communication and evidence elimination

    NARCIS (Netherlands)

    Renne, Bryan

    2012-01-01

    This paper presents a logic combining , a framework for reasoning about multi-agent communication, with a new multi-agent version of , a framework for reasoning about evidence and justification. This novel combination incorporates a new kind of that cleanly meshes with the multi-agent communications

  9. Design and Development a Control and Monitoring System for Greenhouse Conditions Based-On Multi Agent System

    Directory of Open Access Journals (Sweden)

    Seyed Hamidreza Kasaei

    2011-12-01

    Full Text Available The design of a multi-agent system for integrated management of greenhouse production is described. The model supports the integrated greenhouse production, with targets set to quality and quantity of produce with the minimum possible cost in resources and environmental consequences.
    In this paper, we propose a real time and robust system for monitoring and control of the greenhouse condition which can automatically control of greenhouse temperature, lights, humidity, CO2 concentration, sunshine, pH, salinity, water available, soil temperature and soil nutrient for efficient production. We will propose a multi-agent methodology for integrated management systems in greenhouses. In this regards wireless sensor networks play a vital role to monitor
    greenhouse and environment parameters. Each control process of the greenhouse environment is modeled as an autonomous agent with its own inputs, outputs and its own interactions with the other agents. Each agent acts autonomously, as it knows a priori the desired environmental setpoints. Many researchers have been making attempts to develop the greenhouse environment management system. The existing environment management systems are bulky, very costly and difficult to maintain. In the last years, Multi Agent Systems and Wireless Sensor Networks are becoming important solutions to this problem. This paper describes the implementation and
    configuration of the wireless sensor network to monitor and control various parameter of greenhouse. The developed system is simple, cost effective, and easily installable.

  10. Multi-Agent Competition Simulation of Integrated Transportation System

    Directory of Open Access Journals (Sweden)

    Jiashun Zhang

    2013-01-01

    Full Text Available Transportation networks have been developed during the recent decades with the rapid growth of economy. At the same time, the conflicts between different transportation modes were getting more and more intense. To describe the competition relationship in integrated transportation system, a multi-agent competition model was presented. It is important to provide decision support for regulators to lead more reasonable distribution of resources for planning and operating the integrated transportation network. Thus, a simulation program was developed to implement the proposed model and provide computer-aid decision support. Finally, several experiments were conducted to illustrate the effectiveness of this technique.

  11. Innovating Multi-agent Systems Applied to Smart City

    Directory of Open Access Journals (Sweden)

    Michela Longo

    2014-05-01

    Full Text Available The aim of study is to talk about a generic model of Smart City with a multi-agents system and the aspects correlated to Internet. Smart cities are made by a high level of Information and Communication Technology (ICT structures able to transmit energy, information flows multidirectional and connect a different sector that include mobility, energy, social, economy. These components are very important to offer intelligence in a city, as basic infrastructure for a definition of a model repeatable and exportable, as well as supported by the European Community, that is allocating considerable funds (Horizon 2020 for the creation of Smart City.

  12. A multi-agent system architecture for geographic information gathering.

    Science.gov (United States)

    Gao, Gang-Yi; Wang, Shen-Kang

    2004-11-01

    World Wide Web (WWW) is a vast repository of information, including a great deal of geographic information. But the location and retrieval of geographic information will require a significant amount of time and effort. In addition, different users usually have different views and interests in the same information. To resolve such problems, this paper first proposed a model of geographic information gathering based on multi-Agent (MA) architecture. Then based on this model, we construct a prototype system with GML (Geography Markup Language). This system consists of three tiers-Client, Web Server and Data Resource. Finally, we expatiate on the process of Web Server.

  13. A multi-Agent system architecture for geographic information gathering

    Institute of Scientific and Technical Information of China (English)

    高刚毅; 王申康

    2004-01-01

    World Wide Web (WWW) is a vast repository of information, including a great deal of geographic information. But the location and retrieval of geographic information will require a significant amount of time and effort. In addition, different users usually have different views and interests in the same information. To resolve such problems, this paper first proposed a model of geographic information gathering based on multi-Agent (MA) architecture. Then based on this model, we construct a prototype system with GML (Geography Markup Language). This system consists of three tiers-Client, Web Server and Data Resource. Finally, we expatiate on the process of Web Server.

  14. Decentralized formation of random regular graphs for robust multi-agent networks

    KAUST Repository

    Yazicioglu, A. Yasin

    2014-12-15

    Multi-agent networks are often modeled via interaction graphs, where the nodes represent the agents and the edges denote direct interactions between the corresponding agents. Interaction graphs have significant impact on the robustness of networked systems. One family of robust graphs is the random regular graphs. In this paper, we present a locally applicable reconfiguration scheme to build random regular graphs through self-organization. For any connected initial graph, the proposed scheme maintains connectivity and the average degree while minimizing the degree differences and randomizing the links. As such, if the average degree of the initial graph is an integer, then connected regular graphs are realized uniformly at random as time goes to infinity.

  15. Multi-agent Water Resources Management

    Science.gov (United States)

    Castelletti, A.; Giuliani, M.

    2011-12-01

    Increasing environmental awareness and emerging trends such as water trading, energy market, deregulation and democratization of water-related services are challenging integrated water resources planning and management worldwide. The traditional approach to water management design based on sector-by-sector optimization has to be reshaped to account for multiple interrelated decision-makers and many stakeholders with increasing decision power. Centralized management, though interesting from a conceptual point of view, is unfeasible in most of the modern social and institutional contexts, and often economically inefficient. Coordinated management, where different actors interact within a full open trust exchange paradigm under some institutional supervision is a promising alternative to the ideal centralized solution and the actual uncoordinated practices. This is a significant issue in most of the Southern Alps regulated lakes, where upstream hydropower reservoirs maximize their benefit independently form downstream users; it becomes even more relevant in the case of transboundary systems, where water management upstream affects water availability downstream (e.g. the River Zambesi flowing through Zambia, Zimbabwe and Mozambique or the Red River flowing from South-Western China through Northern Vietnam. In this study we apply Multi-Agent Systems (MAS) theory to design an optimal management in a decentralized way, considering a set of multiple autonomous agents acting in the same environment and taking into account the pay-off of individual water users, which are inherently distributed along the river and need to coordinate to jointly reach their objectives. In this way each real-world actor, representing the decision-making entity (e.g. the operator of a reservoir or a diversion dam) can be represented one-to-one by a computer agent, defined as a computer system that is situated in some environment and that is capable of autonomous action in this environment in

  16. 北方农牧交错带生态系统服务合理消耗多主体模型构建%Multi-Agent Modeling Method of Reasonable Consumption of Ecosystem Service: A Case of the Farming Pastoral Zone in Inner Mongolia

    Institute of Scientific and Technical Information of China (English)

    潘理虎; 闫慧敏; 黄河清; 甄霖; 陈立潮

    2012-01-01

    生态系统服务消耗研究对于生态系统的保护和可持续利用具有重要意义,已成为生态学研究的热点。生态系统服务消耗多主体模型是用于研究生态系统服务消耗,表达生态系统与人类经济系统相互作用关系的适用方法。以内蒙古农牧交错区生态系统服务消耗为例,研究了生态系统服务消耗多主体模型的构建方法,包括调查数据的分析与提取,农牧户及其成员多主体运行规则的研究和制定,生态系统服务压力指数的定义,地理数据的导入及模型运行空间的创建,模型参数选择及其初始化等。模型系统研发及运行结果表明,以本方法构建的生态系统服务消耗多主体模型可以体现生态系统服务消耗的过程,所建立的模型具有可视化、过程可展现、数据分析直观等特点,对研究生态系统服务消耗有一定的应用价值。%Since having great significant in ecosystem protection and sustainable utilization,the study of ecosystem service consumption has become a hotspot issue in ecology research.Popularizing Reasonable consumption patterns of ecosystem services in ecologically-vulnerable Areas is conducive to preserving the security of the local ecosystem and protecting the long-term well-being of local residents.It is one of the key works to study the influencing factors,the differences and the tendency of personal and family choice in the consumption patterns of ecological services.The Ecosystem Service Consumption Multi-Agent Modeling(ESCMAM)is the true method used to study ecosystem service consumption and express the interaction between ecosystem and economic system.Choosing Persons and household families as the agents,constructing spatial environment of the study area and establishing the multi-agent model to simulate the individual and family’s decision-making and the process of change in consumption patterns of ecosystem services,can obtain the reasonable consumption

  17. 基于证据推理的多agent分布式入侵检测系统模型%Multi-agent distributed intrusion detection system model based on evidence reasoning

    Institute of Scientific and Technical Information of China (English)

    叶清; 吴晓平; 翟定军; 付钰

    2009-01-01

    在分析现有基于agent的入侵检测系统(IDS)基础上,提出了一种基于证据推理的多agent分布式两级IDS模型.该模型采用分布检测、分布响应的模式,通过多agent技术的思想建立系统总体结构,给出了模型的各个组成部分,并对结构中各种agent与中心控制台的功能设计进行了分析.同时,为了提高中心控制台的融合性能,设计了一种可有效减少证据合成计算量又可确保合成准确性的证据推理算法,并对动态选举算法、协同算法进行了初步分析.系统可充分利用各种资源协同完成入侵检测任务,实时响应,有效地改进了传统IDS.%This paper proposed a distributed IDS (DIDS) model utilizing both multi-agent and evidence reasoning by analyzing the existed agent-based IDS, which adopted the method of distributed detection, distributed response and the ideology of multi-agent. And it described all the composed parts of DIDS model and analyzed the function design of all kinds of agent and the control centre. To improve the performance of the control centre, presented an algorithm for evidence reasoning to decrease the computation and increase the accuracy of combination. Furthermore, discussed the algorithms of dynamic election and cooperation preliminarily. The proposed DIDS may make full of all kinds of information to cooperatively complete the detection and make real-time response, which effectively improves the traditional IDS.

  18. Steganographic Routing in Multi Agent System Environment

    CERN Document Server

    Szczypiorski, Krzysztof; Mazurczyk, Wojciech

    2008-01-01

    In this paper we present an idea of trusted communication platform for Multi-Agent Systems (MAS) called TrustMAS. Based on analysis of routing protocols suitable for MAS we have designed a new proactive hidden routing. Proposed steg-agents discovery procedure, as well as further routes updates and hidden communication, are cryptographically independent. Steganographic exchange can cover heterogeneous and geographically outlying environments using available cross-layer covert channels. Finally we have specified rules that agents have to follow to benefit the TrustMAS distributed router platform.

  19. Reimplementing a Multi-Agent System in Python

    DEFF Research Database (Denmark)

    Villadsen, Jørgen; Jensen, Andreas Schmidt; Ettienne, Mikko Berggren

    2013-01-01

    We provide a brief description of our Python-DTU system, including the overall design, the tools and the algorithms that we used in the Multi-Agent Programming Contest 2012, where the scenario was called Agents on Mars like in 2011. Our solution is an improvement of our Python-DTU system from last...... year. Our team ended in second place after winning at least one match against every opponent and we only lost to the winner of the tournament. We briefly describe our experiments with the Moise organizational model. Finally we propose a few areas of improvement, both with regards to our system...

  20. Reimplementing a Multi-Agent System in Python

    DEFF Research Database (Denmark)

    Villadsen, Jørgen; Jensen, Andreas Schmidt; Ettienne, Mikko Berggren

    2012-01-01

    We provide a brief description of our Python-DTU system, including the overall design, the tools and the algorithms that we used in the Multi-Agent Programming Contest 2012, where the scenario was called Agents on Mars like in 2011. Our solution is an improvement of our Python-DTU system from last...... year. Our team ended in second place after winning at least one match against every opponent and we only lost to the winner of the tournament. We briefly describe our experiments with the Moise organizational model. Finally we propose a few areas of improvement, both with regards to our system...

  1. A Polymeric Bowl for Multi-Agent Delivery.

    Science.gov (United States)

    Hyun, Dong Choon

    2015-08-01

    This paper describes a simple system for multi-agent delivery. The system consists of a biodegradable polymer particle with a hollow interior, together with a hole on its surface that can be completely or partially sealed via thermal annealing. A hydrophobic dye, Nile-red, entrapped within the shell of hollow particles presents a sustained release behavior while methylene blue, a hydrophilic model agent, encapsulated in the hollow interior shows a fast release manner. The release profiles of the probes can be further independently controlled by encapsulating methylene blue-loaded polymer nanoparticles, instead of free dye, in the hollow particle with a small hole on its surface.

  2. Evolutionary multi-agent systems from inspirations to applications

    CERN Document Server

    Byrski, Aleksander

    2017-01-01

    This book addresses agent-based computing, concentrating in particular on evolutionary multi-agent systems (EMAS), which have been developed since 1996 at the AGH University of Science and Technology in Cracow, Poland. It provides the relevant background information on and a detailed description of this computing paradigm, along with key experimental results. Readers will benefit from the insightful discussion, which primarily concerns the efficient implementation of computing frameworks for developing EMAS and similar computing systems, as well as a detailed formal model. Theoretical deliberations demonstrating that computing with EMAS always helps to find the optimal solution are also included, rounding out the coverage.

  3. 基于社会网络与声誉信任机制的移动多Agent系统信任模型%A MOBILE MULTI-AGENT SYSTEM TRUST MODEL BASED ON SOCIAL NETWORK AND REPUTATION TRUST MECHANISM

    Institute of Scientific and Technical Information of China (English)

    彭泽洲

    2012-01-01

    基于信任机制的移动多Agent系统中,代理Agent一般通过直接信誉值和推荐信誉值来判断对于另一个Agent的信任程度.由于系统相对巨大,直接信誉值通常难以获得,判断的正确性很大程度上依赖于推荐信誉值的准确性和可靠性.通过对整个多Agent系统进行社会网络的挖掘,用以得到与代理Agent存在潜在社会关系的一组Agent.对这组Agent提供的推荐信息充分信任,并优先使用这些Agent提供的信息进行推荐信誉值的计算.最后通过双方直接交易的多寡判断综合信任值中直接信誉值与推荐信誉值的权重.通过实验验证了该模型的有效性.%In trust mechanism-based mobile multi-Agent system, proxy Agent usually judges the trust degree of another Agent by the values of direct reputation and recommended reputation. Because of the relative large of the system, direct reputation is often difficult to obtain, so the correctness of the judgment depends on to a great extent the accuracy and reliability of the recommended reputation. In the paper, by mining the whole social network for entire multi-Agent system, a group of Agent which have potential community relationship with the proxy Agent is gotten. The recommendation information provided by this group is thoroughly trusted, and the information offered by these Agents is employed in prior to calculate the recommended reputation value. At last, the weight of the values of direct reputation and recommended reputation in composite trust value are calculated through the amount of direct transaction between both sides. The validity of the model has been verified by the experiment.

  4. Model of collaborative production scheduling in virtual enterprise cluster based on multi-agent systems%基于多智能体的虚拟企业群协同生产调度模式研究

    Institute of Scientific and Technical Information of China (English)

    李芳; 单大亚; 马婷

    2013-01-01

    In order to realize collaborative production scheduling in virtual enterprise cluster,raise its operation ability,this paper established a production model on the multi-agent for virtual enterprise cluster manufacture enterprises,meanwhile detailedly analyzed productive plan scheduling and information dispatch.This paper proposed the selection process based on the multi-agents and the price consultation supplier in enterprise coordination layer,especially emphasized the partner primary election process.Based on the EDD + SCR rule combination,it determined enterprise objective assignment,and definited all order form with date of delivery.Every workshop layer carried on the workshop production scheduling arrangement according to the enterprise layer productive plan.Finally,the case simulation was carried by using the Swarm simulation software platform.The analysis simulation result views that supplies chain coordination production scheduling is possible to effectively enhance the enterprise workshop load factor,and enables the workshop load factor to keep the steady state in a short time.The resource of the virtual enterprise cluster is used rationally and effectively.%为了实现虚拟企业群的协同生产调度,提高企业群整体运作水平,建立了基于多智能体的虚拟企业群制造企业生产调度模型,分析了生产计划调度及信息交互作用.在企业协同层,提出了基于多目标和价格协商的供应商选择过程,确定了合作伙伴的初选过程方法,企业层采用了基于EDD+ SCR规则组合确定企业任务分配,并为所有订单任务确定交货期,各车间层则根据企业层的生产计划进行车间生产调度安排.最后,运用Swarm仿真软件平台对案例进行仿真分析,验证了提出的生产调度模式可以有效提高各企业的车间负载率,并使车间负载率在短时间内达到稳定状态,从而合理有效地利用企业资源.

  5. Synchronized Task Decomposition for Cooperative Multi-agent Systems

    CERN Document Server

    Karimadini, M

    2009-01-01

    The key challenge in cooperative control for multi-agent systems could be how to design the local interaction rules and coordination principles among agents so as to achieve certain desired global behaviors. In this paper, we try to tackle this challenge from the angle of hierarchical control, and propose a divide-and-conquer approach. The basic idea is to decompose the requested global specification into subtasks for individual agents or small clusters of agents. It should be noted that the decomposition is not arbitrary. The global specification should be decomposed in such a way that the fulfilment of these subtasks by each individual agent will imply the satisfaction of the global specification as a team. Formally, a given global specification can be represented as an automaton A, while a multi-agent system can be captured as a set of parallel distributed systems. The first question needs to be answered is whether it is always possible to decompose a given task automaton A into a finite number of sub-auto...

  6. An Emotion Decision-Making Model in Multi-agent Environment%多智能体环境下的情绪决策模型∗

    Institute of Scientific and Technical Information of China (English)

    林君焕; 刘箴; 陈月芬

    2015-01-01

    An emotion decision-making model consisting of cognition layer and emotion layer is constructed, the cognition layer is implemented in the Nash-Q algorithm, and the emotion layer is based on the theory of emotion memory and evaluation. The emotion space includes happiness, sadness, fear, boredom. The stimulus-to-emotion mapping model, emotion-to-action mapping model and the evaluation model of action credibility for each emotion are built respectively. The proposed model is applied to two-agent grid decision-making experiment. The results show that the convergence speed is higher when the Nash-Q algorithm is combined with emotional layer, and the model can effectively avoid local optimum. The model keeps better balance between conservation and searching in online learning.%建立一种基于情绪的Nash-Q决策模型,它由认知层和情绪层组成。认知层模型由Nash-Q算法实现,情绪层建立在情绪记忆和评价理论之上,由高兴、伤心、恐惧、厌烦组成情绪空间,建立相应刺激与情绪映射模型、情绪与行为动作映射模型、每种情绪下的动作信任度评价模型。将文中模型应用到两智能体网格决策实验中,结果表明情绪层的引入可加快收敛速度,同时能有效防止陷入局部最优,更好兼顾在线学习的“保守”和“探索”平衡。

  7. A Multi-agent Framework of an Integrated Plant Maintenance System

    Institute of Scientific and Technical Information of China (English)

    LIU Jian; YU De-jie; LI Rong; LI De-gang

    2005-01-01

    Based on systematic analysis, an Integrated Plant Maintenance System(IPMS) is proposed in this paper to cope with challenges in plant maintenance. The characteristics of the IPMS are summarized and the necessity of its modeling is set forth. Based on the analysis and comparison among structured, object-oriented and multi-agent modeling frameworks, a multi-agent modeling framework is selected in this paper as a theoretical guidance and together with the Tropos method for modeling, the system model of an integrated plant maintenance system is constructed. The system model developed in this paper provides a guidance template for the Baling company in its stepwise implementation of the IPMS.

  8. Centralization vs. Decentralization in a Multi-Unit Organization: A Computational Model of a Retail Chain as a Multi-Agent Adaptive System

    OpenAIRE

    Myong-Hun Chang; Harrington, Joseph E.

    2000-01-01

    This paper explores the effect of organizational structure - in terms of the allocation of authority - on the rate of innovation in multi-unit organizations such as retail chains and multi-plant manufacturers. A computational model is developed in which store managers continually search for better practices. In a decentralized organization, a store manager adopts a new practice if it raises her store's profit. Headquarters (HQ) is assumed to observe the new practice and then decides whether t...

  9. Service orientation in holonic and multi-agent manufacturing

    CERN Document Server

    Thomas, André; Trentesaux, Damien

    2015-01-01

    This volume gathers the peer reviewed papers presented at the 4th edition of the International Workshop “Service Orientation in Holonic and Multi-agent Manufacturing – SOHOMA’14” organized and hosted on November 5-6, 2014 by the University of Lorraine, France in collaboration with the CIMR Research Centre of the University Politehnica of Bucharest and the TEMPO Laboratory of the University of Valenciennes and Hainaut-Cambrésis.   The book is structured in six parts, each one covering a specific research line which represents a trend in future manufacturing: (1) Holonic and Agent-based Industrial Automation Systems; (2) Service-oriented Management and Control of Manufacturing Systems; (3) Distributed Modelling for Safety and Security in Industrial Systems; (4) Complexity, Big Data and Virtualization in Computing-oriented Manufacturing; (5) Adaptive, Bio-inspired and Self-organizing Multi-Agent Systems for Manufacturing, and (6) Physical Internet Simulation, Modelling and Control.   There is a clear ...

  10. Multi-agents Model for Simulation of Urban Residential Space Evolution%城市居住空间扩张的多主体模拟模型研究

    Institute of Scientific and Technical Information of China (English)

    单玉红; 朱欣焰

    2011-01-01

    Multi-agents model(MAS) is an effective tool for studying and simulating complex social and eco-nomic systems.MAS model itself does not have complicated modeling steps,but gives a modeling ideas and mechanisms of "from micro to macro and from bottom to up".In China,market mechanism and planning mecha-nisms are the major driving and regulation forces of urban residential space evolution.This paper builds an ur-ban residential space expansion model based on GIS and MAS that contains micro intelligent agents and envi-ronment agent,aiming to investigate the interactions between the market mechanism and planning mechanism in the process of urban residential space transformation.On the basis of the cognition of the behavior characteris-tics of the market mechanism agents of urban residents and property developers,the model analyzes the impact of the two market mechanism agents on the evolution direction of urban residential space,and the paper points out that under the policies of state-owned urban land in China,the urban government's land supply decides the urban residential evolution patterns and the total benefits of residential land development.Thus,by adjusting the land use and environment protection policies of urban government,the model sets three policy scenarioes and achieves the preview of the evolution of residential space for each scenario,which can provide guidance for land use planning in advance.Wuchang and Hongshan districts in Wuhan city are chosen as the experimental ar-eas.By the MAS model the paper compares the land use structure and land use benefits in the process of the resi-dential space evolution from 1998 to 2008 among the three scenarioes and the actual situation respectively.Some main conclusions can be drawn as follows from the model’s outputs.Firstly,there are always intersec-tions between the real residential space evolution and the models’ simulated results under different scenarioes,which means that because of the influence

  11. Multi-Agent Flight Simulation with Robust Situation Generation

    Science.gov (United States)

    Johnson, Eric N.; Hansman, R. John, Jr.

    1994-01-01

    A robust situation generation architecture has been developed that generates multi-agent situations for human subjects. An implementation of this architecture was developed to support flight simulation tests of air transport cockpit systems. This system maneuvers pseudo-aircraft relative to the human subject's aircraft, generating specific situations for the subject to respond to. These pseudo-aircraft maneuver within reasonable performance constraints, interact in a realistic manner, and make pre-recorded voice radio communications. Use of this system minimizes the need for human experimenters to control the pseudo-agents and provides consistent interactions between the subject and the pseudo-agents. The achieved robustness of this system to typical variations in the subject's flight path was explored. It was found to successfully generate specific situations within the performance limitations of the subject-aircraft, pseudo-aircraft, and the script used.

  12. Multi-Agent Reinforcement Learning Algorithm Based on Action Prediction

    Institute of Scientific and Technical Information of China (English)

    TONG Liang; LU Ji-lian

    2006-01-01

    Multi-agent reinforcement learning algorithms are studied. A prediction-based multi-agent reinforcement learning algorithm is presented for multi-robot cooperation task. The multi-robot cooperation experiment based on multi-agent inverted pendulum is made to test the efficency of the new algorithm, and the experiment results show that the new algorithm can achieve the cooperation strategy much faster than the primitive multiagent reinforcement learning algorithm.

  13. Multi-Agent System for Recruiting Patients for Clinical Trials

    Science.gov (United States)

    2014-05-01

    Multi - Agent System for Recruiting Patients for Clinical Trials Samhar Mahmoud King’s College London London, UK samhar.mahmoud@kcl.ac.uk Gareth Tyson...TYPE 3. DATES COVERED 00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE Multi - Agent System for Recruiting Patients for Clinical Trials 5a...methodology [15] was proposed to guide the process of de- veloping a multi - agent system from analysis to design. For brevity, we focus here on one

  14. TrustMAS: Trusted Communication Platform for Multi-Agent Systems

    CERN Document Server

    Szczypiorski, Krzysztof; Mazurczyk, Wojciech; Cabaj, Krzysztof; Radziszewski, Pawel

    2008-01-01

    The paper presents TrustMAS - Trusted Communication Platform for Multi-Agent Systems, which provides trust and anonymity for mobile agents. The platform includes anonymous technique based on random-walk algorithm for providing general purpose anonymous communication for agents. All agents, which take part in the proposed platform, benefit from trust and anonymity that is provided for their interactions. Moreover, in TrustMAS there are StegAgents (SA) that are able to perform various steganographic communication. To achieve that goal, SAs may use methods in different layers of TCP/IP model or specialized middleware enabling steganography that allows hidden communication through all layers of mentioned model. In TrustMAS steganographic channels are used to exchange routing tables between StegAgents. Thus all StegAgents in TrustMAS with their ability to exchange information by using hidden channels form distributed steganographic router (Stegrouter).

  15. Simulation and Effectiveness Evaluation Modeling of Formation Cooperative Flight-test Based on Multi-Agent System%基于多智能体的编队协同试飞仿真与效能评估

    Institute of Scientific and Technical Information of China (English)

    夏庆军; 张安; 张耀中

    2011-01-01

    In order to debase risk and cost the formation cooperative flight-test, building simulation platform to evaluate effectiveness of flight-test was put forward. Firstly, the frame of formation cooperative flight-test simulation was modeled. Based on the frame, the structure of formation cooperative flight-test simulation was set up used Multi-Agent System (MAS) and the function of each kind of agent was ascertained. Then, the process of command transportation between command control center agent and formation agent was made certain and program flow of fighter agent was set up. Lastly, the model of effectiveness evaluation was built by Lanchester equation. The simulation about the model was carried out and the results prove the model is effective.%为了降低编队协同试飞风险和代价,提出建立编队协同试飞仿真平台对试飞的效果进行评价.首先,建立了编队协同试飞模型的总体框架.在此基础上建立了基于多智能体的编队协同试飞总体结构并明确了各类型Agent的功能.然后,确定了指挥控制中心Agent与编队Agent进行命令交互的过程并建立了编队Agent和战斗机Agent的模型.最后,建立了基于兰彻斯特理论的效能评估模型,并对设定的红蓝编队进行了仿真和分析.

  16. Liquidity Transferring of Multi-Agent Model in Bank Networks%多主体模型下的银行网络流动性转移

    Institute of Scientific and Technical Information of China (English)

    张锋华; 李红刚

    2013-01-01

    流动性危机是银行倒闭的重要原因,在金融危机形成和传染过程中起关键作用.银行网络流动性动态配置正是流动性危机形成的微观基础.因此,银行网络间流动性动态配置对于研究金融危机具有很强的现实意义.构建银行网络流动性转移的多主体模型可以模拟银行网络流动性再分配的过程,模拟结果表明银行网络结构、连接度都对网络流动性转移效率有重要影响.最后提出了基于这一模型给出了提高银行网络流动性转移效率的长效机制以及流动性危机的应急措施的政策建议.%The liquidity crisis is a major cause of bank failures and also plays a key role in leading to the formation and contagion of a financial crisis.In the meantime,the fundamental framework with which a liquidity crisis is developed is the dynamic liquidity configuration in the banking network.Therefore,the study and modeling of the dynamic liquidity configuration is of practical significance to the understanding and prevention of a financial crisis.A bank liquidity transferring multiagent model based on networks is used to simulate the redistribution process of liquidity.Results indicate that both the network structure and the network connectivity have a significant influence on the liquidity transferring efficiency of the network.Finally,we put forth suggestions for emergency measures in the event of a liquidity crisis,as well as for long-term mechanisms to improve the liquidity transferring efficiency of a banking network.

  17. Bipartite flocking for multi-agent systems

    Science.gov (United States)

    Fan, Ming-Can; Zhang, Hai-Tao; Wang, Miaomiao

    2014-09-01

    This paper addresses the bipartite flock control problem where a multi-agent system splits into two clusters upon internal or external excitations. Using structurally balanced signed graph theory, LaSalle's invariance principle and Barbalat's Lemma, we prove that the proposed algorithm guarantees a bipartite flocking behavior. In each of the two disjoint clusters, all individuals move with the same direction. Meanwhile, every pair of agents in different clusters moves with opposite directions. Moreover, all agents in the two separated clusters approach a common velocity magnitude, and collision avoidance among all agents is ensured as well. Finally, the proposed bipartite flock control method is examined by numerical simulations. The bipartite flocking motion addressed by this paper has its references in both natural collective motions and human group behaviors such as predator-prey and panic escaping scenarios.

  18. Multi-agent sequential hypothesis testing

    KAUST Repository

    Kim, Kwang-Ki K.

    2014-12-15

    This paper considers multi-agent sequential hypothesis testing and presents a framework for strategic learning in sequential games with explicit consideration of both temporal and spatial coordination. The associated Bayes risk functions explicitly incorporate costs of taking private/public measurements, costs of time-difference and disagreement in actions of agents, and costs of false declaration/choices in the sequential hypothesis testing. The corresponding sequential decision processes have well-defined value functions with respect to (a) the belief states for the case of conditional independent private noisy measurements that are also assumed to be independent identically distributed over time, and (b) the information states for the case of correlated private noisy measurements. A sequential investment game of strategic coordination and delay is also discussed as an application of the proposed strategic learning rules.

  19. L{sup 1} group consensus of multi-agent systems with switching topologies and stochastic inputs

    Energy Technology Data Exchange (ETDEWEB)

    Shang, Yilun, E-mail: shylmath@hotmail.com [Institute for Cyber Security, University of Texas at San Antonio, TX 78249 (United States); SUTD-MIT International Design Center, Singapore University of Technology and Design, Singapore 138682 (Singapore)

    2013-10-01

    Understanding how interacting subsystems of an overall system lead to cluster/group consensus is a key issue in the investigation of multi-agent systems. In this Letter, we study the L{sup 1} group consensus problem of discrete-time multi-agent systems with external stochastic inputs. Based on ergodicity theory and matrix analysis, L{sup 1} group consensus criteria are obtained for multi-agent systems with switching topologies. Some numerical examples are provided to illustrate the effectiveness and feasibility of the theoretical results.

  20. A new approach of designing Multi-Agent Systems

    CERN Document Server

    Maalal, Sara

    2012-01-01

    Agent technology is a software paradigm that permits to implement large and complex distributed applications. In order to assist analyzing, conception and development or implementation phases of multi-agent systems, we've tried to present a practical application of a generic and scalable method of a MAS with a component-oriented architecture and agent-based approach that allows MDA to generate source code from a given model. We've designed on AUML the class diagrams as a class meta-model of different agents of a MAS. Then we generated the source code of the models developed using an open source tool called AndroMDA. This agent-based and evolutive approach enhances the modularity and genericity developments and promotes their reusability in future developments. This property distinguishes our design methodology of existing methodologies in that it is constrained by any particular agent-based model while providing a library of generic models

  1. Research on fourth party logistics information plat structure model based on multi-agent technology%基于multi-agent的第四方物流信息平台结构模型的研究

    Institute of Scientific and Technical Information of China (English)

    葛世伦; 聂冬芹

    2012-01-01

    Third party logistics can make contributions to single enterprise, but it can' t reinforce the whole supply-chain' s increment, therefore, fourth party logistics technology emerges spontaneously. It integrated the advantages of third party logistics, and made up the shortages. The fourth party logistics information plat several resources, capabilities and techniques of various service providers on supply-chain combined into. The study emphasized on analyzing and designing such information plat structure established by using multi-agent and AUML, together with role models, static models and dynamic models in details. That was to say, fourth party logistics information plat was built by using extended UML diagrams which was called AUML to demonstrate its graphic depictions with contribution to constitute the best logistics scheme of the overall supply-chain.%第三方物流为单个企业带来了物流效益,却不能很好地提高供应链上整体的物流增值价值,在此背景下,第四方物流技术应运而生,它集成了第三方物流的优势并补充了其缺陷.建立的第四方物流信息平台集成了多种服务供应商所拥有的资源、能力和技术,运用multi -agent和AUML建模方法对该平台进行分析与简要设计,通过角色建模、静态建模、动态建模来分析平台结构,借助AUML图来完成建模的图形化设计,最终实现整个供应链上最佳物流方案的制定.

  2. Multi-agent modeling method on ship mission system architecture%多主体建模方法在舰船任务系统中的应用

    Institute of Scientific and Technical Information of China (English)

    胡啸

    2013-01-01

    针对典型船舶信息系统仍然是由若干孤岛组成的现状,利用任务环境描述语言(task analysis,environmental modeling and simulation,TAEMS)将多主体系统(multi-agent system,MAS)自主性、反应性和协作性特点体现在实际建模过程中,通过引入MAS协同机制,并利用通用部分全局规划(generalized partial global planning,GPGP)在全船层面探讨了以任务为驱动的系统架构方法,为建立基于任务的舰船平台体系结构奠定了基础.实例表明,基于Agent相互关系的定量任务表达方法为舰船任务系统建模提供了可行的解决途径.%In order to overcome the defects of information system isolation , a new modeling method is presented dealing with task-driven system architecture on the whole ship level based on TAEMS and GPGP coordination mechanisms. A MAS-based task environment model is put forward that can reflect the features of autonomy, reactivity and cooperation, laying foundation for the ship platform architecture establishment. Finally, performances of the proposed quantitative method are demonstrated by the application.

  3. FY1995 distributed control of man-machine cooperative multi agent systems; 1995 nendo ningen kyochogata multi agent kikai system no jiritsu seigyo

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1997-03-01

    In the near future, distributed autonomous systems will be practical in many situations, e.g., interactive production systems, hazardous environments, nursing homes, and individual houses. The agents which consist of the distributed system must not give damages to human being and should be working economically. In this project man-machine cooperative multi agent systems are studied in many kind of respects, and basic design technology, basic control technique are developed by establishing fundamental theories and by constructing experimental systems. In this project theoretical and experimental studies are conducted in the following sub-projects: (1) Distributed cooperative control in multi agent type actuation systems (2) Control of non-holonomic systems (3) Man-machine Cooperative systems (4) Robot systems learning human skills (5) Robust force control of constrained systems In each sub-project cooperative nature between machine agent systems and human being, interference between artificial multi agents and environment and new function emergence in coordination of the multi agents and the environment, robust force control against for the environments, control methods for non-holonomic systems, robot systems which can mimic and learn human skills were studied. In each sub-project, some problems were hi-lighted and solutions for the problems have been given based on construction of experimental systems. (NEDO)

  4. A Multi-Agent Framework for Coordination of Intelligent Assistive Technologies

    DEFF Research Database (Denmark)

    Valente, Pedro Ricardo da Nova; Hossain, S.; Groenbaek, B.

    2010-01-01

    Intelligent care for the future is the IntelliCare project's main priority. This paper describes the design of a generic multi-agent framework for coordination of intelligent assistive technologies. The paper overviews technologies and software systems suitable for context awareness...... indoor localization system for real-time localization. We conducted an experiment in two steps: first, creating and testing interaction interfaces with and between robotic systems, and secondly, wrapping all in a multi-agent system, defining a vacuuming-cleaning ontology. With the pose data from...... and housekeeping tasks, especially for performing a multi-robot cleaning-task activity. It also describes conducted work in the design of a multi-agent platform for coordination of intelligent assistive technologies. Instead of using traditional robot odometry estimation methods, we have tested an independent...

  5. Agent 与Multi-Agent System 技术研究%The Research on Agent and Multi-Agent System

    Institute of Scientific and Technical Information of China (English)

    党建武; 韩泉叶; 崔文华

    2002-01-01

    分析了Multi-Agent System 涉及的相关问题,在普通的Multi-Agent System的组织结构的基础上提出了管理服务机构,中介服务机构和主控流动服务机构的Multi-Agent System,并对不同组织结构的Agent之间的协同进行了讨论.

  6. Connectivity and Set Tracking of Multi-agent Systems Guided by Multiple Moving Leaders

    CERN Document Server

    Shi, Guodong; Johansson, K H

    2011-01-01

    In this paper, we investigate distributed multi-agent tracking of a convex set specified by multiple moving leaders with unmeasurable velocities. Various jointly-connected interaction topologies of the follower agents with uncertainties are considered in the study of set tracking. Based on the connectivity of the time-varying multi-agent system, necessary and sufficient conditions are obtained for set input-to-state stability and set integral input-to-state stability for a nonlinear neighbor-based coordination rule with switching directed topologies. Conditions for asymptotic set tracking are also proposed with respect to the polytope spanned by the leaders.

  7. Distributed Consensus of Nonlinear Multi-Agent Systems on State-Controlled Switching Topologies

    Directory of Open Access Journals (Sweden)

    Kairui Chen

    2016-01-01

    Full Text Available This paper considers the consensus problem of nonlinear multi-agent systems under switching directed topologies. Specifically, the dynamics of each agent incorporates an intrinsic nonlinear term and the interaction topology may not contain a spanning tree at any time. By designing a state-controlled switching law, we show that the multi-agent system with the neighbor-based protocol can achieve consensus if the switching topologies jointly contain a spanning tree. Moreover, an easily manageable algebraic criterion is deduced to unravel the underlying mechanisms in reaching consensus. Finally, a numerical example is exploited to illustrate the effectiveness of the developed theoretical results.

  8. Dynamics sequential logic model and mechanism for cooperation to solve task of complex self-adaptive multi-agent systems%复杂系统的MAS动态协作求解时序逻辑模型

    Institute of Scientific and Technical Information of China (English)

    蒋伟进; 蒋星军; 姚丽娜

    2012-01-01

    借助于组织学思想,将自适应系统中的自主运行单元抽象为Agent,把复杂自适应系统视为多Agent组织,从时间和状态角度,对复杂动态系统的行为进行描述.提出了基于时序活动逻辑的多Agent动态协作任务求解自适应机制和构造模型;详细分析了任务求解BDIAgent的信念、愿望、意图的产生过程和实现方法;深入讨论了协商推理的语义规则和行为规则;给出了协作群组的选择算法,包括从群组的建立、选择任务Agent、分解和分配子任务;从任务求解Agent的心智变化角度,详细描述了动态协作任务求解模型实现的6个阶段:任务动态分配、协作意愿产生、协作群体生成、共同计划制定、协作群体行动和结果评估.通过在MAGE等平台上的实验和仿真测试,验证了方法的可行性和有效性.%From the ideas of tissue,the running unit of the self-adaptive system was abstracted as Agent.The complex adaptive system was regarded as a multi-Agent organization. From the perspective of time and status the behavior of the complex dynamic systems was described. Temporal logic multi-Agent based dynamic adaptive mechanisms and the task solving cooperation structure model were proposed. Detailed a-nalysis was made of the task to solve BDI Agenfs belief, desire, intention and realization of the production process. The negotiation of rules and semantic inference rules of conduct was fully discussed. The collaborative group selection algorithm was presented, including the establishment from the group. Selection of the Task Agent, decomposition and allocation of subtasks. From the changing angle of the Agenfs mind to solve the task, a detailed description was given of the task to solve the model to achieve dynamic collaboration of six stages: dynamic allocation of tasks, collaboration production, collaborative groups generation, common planning, collaborative groups, action and evaluation of results

  9. A Formal Framework of Multi-Agent Systems with Requirement/Service Cooperative Style

    Institute of Scientific and Technical Information of China (English)

    王怀民; 吴泉源

    2000-01-01

    Adopting three kinds of speech acts: request, promise, and inform, this paper analyses the interaction among agents in a kind of multi-agent systems with requirements/services cooperation style (MASr-s). The paper gives the objective model the theoretic satisfaction conditions of three kinds of speech acts in MASr-s. The formal definition of MASr-s has been presented. To evaluate concrete implementation architecture and mechanism of the variant MASr-s, including client/server computing architecture and mechanism, a spectrum of MASr-s has been proposed, which captures direct request/passive service mechanism, direct request/active service mechanism, indirect request/active service mechanism, and peerto-peer request/service mechanism. The spectrum shows a thread to improve traditional client/server computing.

  10. Emergence of robust solutions to 0-1 optimization problems in multi-agent systems

    DEFF Research Database (Denmark)

    formation principles in engineering by designing multi-agent systems with appropriate interactions. By extracting selection processes as one of the main principles of pattern formation, we bridge the gap between detailed knowledge of self-organization in complex systems in natural science and its......Nature shows us in our daily life how robust, flexible and optimal self-organized modular constructions work in complex physical, chemical and biological systems, which successfully adapt to new and unexpected situations. A promising strategy is therefore to use such self-organization and pattern...... constructive application in engineering. The approach is demonstrated by giving two examples: First, time-dependent robot-target assignment problems with several autonomous robots and several targets are considered as model of flexible manufacturing systems. Each manufacturing target has to be served...

  11. Multi-Agent Inference in Social Networks: A Finite Population Learning Approach.

    Science.gov (United States)

    Fan, Jianqing; Tong, Xin; Zeng, Yao

    When people in a society want to make inference about some parameter, each person may want to use data collected by other people. Information (data) exchange in social networks is usually costly, so to make reliable statistical decisions, people need to trade off the benefits and costs of information acquisition. Conflicts of interests and coordination problems will arise in the process. Classical statistics does not consider people's incentives and interactions in the data collection process. To address this imperfection, this work explores multi-agent Bayesian inference problems with a game theoretic social network model. Motivated by our interest in aggregate inference at the societal level, we propose a new concept, finite population learning, to address whether with high probability, a large fraction of people in a given finite population network can make "good" inference. Serving as a foundation, this concept enables us to study the long run trend of aggregate inference quality as population grows.

  12. Network resources management in a multi-agent system: A simulative approach

    Directory of Open Access Journals (Sweden)

    Ganiyu A. Aderounmu

    2010-09-01

    Full Text Available Multi-agent systems (i.e. systems comprising many agents have been proposed for many Internet and distributed applications. The proposed systems have little or no consideration of the effects of this multi-agent approach on network resources. In this paper, we presented a simulation assessment of the effect of multi-agent systems on network resources. The routing scheme of the agents was formulated based on the travelling salesman problem. Lightweight agent (LWA controller was modelled using a fuzzy logic toolbox in the MATLAB environment. The performance metrics of bandwidth usage, response time and throughput were used to compare the network resources usage by different groups of LWAs (10 LWAs, 40 LWAs, 100 LWAs, 150 LWAs during their computational task on the network. Java programs were written for the implementation of lightweight agents in the simulation. The inputs to the system were realised by multiplicative pseudorandom number generation during the simulation. The simulation result analysis was carried out based on the performance metrics stated above for the four groups of agents. Increasing the number of LWAs in a simulated multi-agent system decreased the response time but increased the throughput and the bandwidth usage. All these performance measures should be considered for developing countries with bandwidth shortages, because having too many agents in a multi-agent system could result in bandwidth wastages.

  13. Towards Time Automata and Multi-Agent Systems

    Science.gov (United States)

    Hutzler, G.; Klaudel, H.; Wang, D. Y.

    2004-01-01

    The design of reactive systems must comply with logical correctness (the system does what it is supposed to do) and timeliness (the system has to satisfy a set of temporal constraints) criteria. In this paper, we propose a global approach for the design of adaptive reactive systems, i.e., systems that dynamically adapt their architecture depending on the context. We use the timed automata formalism for the design of the agents' behavior. This allows evaluating beforehand the properties of the system (regarding logical correctness and timeliness), thanks to model-checking and simulation techniques. This model is enhanced with tools that we developed for the automatic generation of code, allowing to produce very quickly a running multi-agent prototype satisfying the properties of the model.

  14. A Distributed Autonomous Approach for Bulk Power System Restoration by Means of Multi-Agent System

    Science.gov (United States)

    Nagata, Takeshi; Tahara, Yoshiki; Kunisa, Daisuke; Fujita, Hideki

    In recent years, the electric utility industry worldwide has been facing pressure to be deregulated. Along with it, risk of blackout in large area will also increase. Actually, it is still vivid in our memory that the northeastern US and southern Canada suffered the worst blackout in history. Consequently, a method to find the optimal solution rapidly is needed all the more. In this paper, we propose a new multi-agent method for a bulk power system restoration. In order to demonstrate the capability of the proposed multi-agent system, it has been applied to a model bulk power system, which consists of three local areas including twelve generating units and twelve loads, and three remote areas with twelve loads. A large number of simulations are carried out on this model network with changing conditions. The simulation results show that the proposed multi-agent approach is effective and promising.

  15. Multi-agent system-based event-triggered hybrid control scheme for energy internet

    DEFF Research Database (Denmark)

    Dou, Chunxia; Yue, Dong; Han, Qing Long

    2017-01-01

    This paper is concerned with an event-triggered hybrid control for the energy Internet based on a multi-agent system approach with which renewable energy resources can be fully utilized to meet load demand with high security and well dynamical quality. In the design of control, a multi-agent system...... framework is first constructed. Then, to describe fully the hybrid behaviors of all distributed energy resources and logical relationships between them, a differential hybrid Petri-net model is established, which is an original work. The most important contributions based on this model propose four types...

  16. A Distributed Data Mining System Based on Multi-agent Technology

    Institute of Scientific and Technical Information of China (English)

    GUO Li-ming; ZHANG Yan-zhen

    2006-01-01

    Distributed Data Mining is expected to discover preciously unknown, implicit and valuable information from massive data set inherently distributed over a network. In recent years several approaches to distributed data mining have been developed, but only a few of them make use of intelligent agents. This paper provides the reason for applying Multi-Agent Technology in Distributed Data Mining and presents a Distributed Data Mining System based on Multi-Agent Technology that deals with heterogeneity in such environment. Based on the advantages of both the CS model and agent-based model, the system is being able to address the specific concern of increasing scalability and enhancing performance.

  17. Consensus of Second Order Multi-Agent Systems with Exogenous Disturbance Generated by Unknown Exosystems

    Directory of Open Access Journals (Sweden)

    Xuxi Zhang

    2016-11-01

    Full Text Available This paper is concerned with consensus problem of a class of second-order multi-agent systems subjecting to external disturbance generated from some unknown exosystems. In comparison with the case where the disturbance is generated from some known exosystems, we need to combine adaptive control and internal model design to deal with the external disturbance generated from the unknown exosystems. With the help of the internal model, an adaptive protocol is proposed for the consensus problem of the multi-agent systems. Finally, one numerical example is provided to demonstrate the effectiveness of the control design.

  18. Coordination and composition in multi-agent systems

    NARCIS (Netherlands)

    Dastani, M.; Arbab, F.; Boer, F.S. de

    2005-01-01

    In this paper we describe a channel-based exogenous coordination language, called Reo, and discuss its application to multi-agent systems. Reo supports a specific notion of compositionality for multi-agent systems that enables the composition and coordination of both individual agents as well as mul

  19. A Dialogue Game Approach to Multi-Agent System Programming

    NARCIS (Netherlands)

    Lebbink, Henk-Jan; Witteman, Cilia; Meyer, John-Jules Ch.

    2005-01-01

    This paper approaches multi-agent system programming with dialogue games allowing the semantics of communicative acts to be a component in multi-agent architectures. We present a dialogue game for enquiry enabling agents to answer questions in a distributed fashion. In addition, we propose a reasoni

  20. A multi-Agent system architecture for geographic information gathering

    Institute of Scientific and Technical Information of China (English)

    高刚毅; 王申康

    2004-01-01

    World Wide Web(WWW)is a vast repository of information,including a great deal of geographic information.But the location and retrieval of geographic information will require a significant amount of time and effort. In addition,different users usually have different views and interests in the same information. To resolve such problems,this paper first proposed a model of geographic information gathering based on multi-Agent(MA)architecture. Then based on this model,we construct a prototype system with GML(Geography Markup Language). This system consists of three tiers-Client,Web Server and Data Resource. Finally,we expatiate on the process of Web Server.

  1. Multi-agent System for Process Planning in Step-nc Based Manufacturing

    Directory of Open Access Journals (Sweden)

    Juan Du

    2012-09-01

    Full Text Available In order to realize STEP-NC-oriented computer numerical control machining and achieve optimal performance in manufacturing, a multi-agent system for process planning in STEP-NC based manufacturing was designed. By analyzing the characteristic of STEP-NC data model, a manufacturing feature-oriented process planning method was proposed in this study and the distributed artificial intelligence methods, namely collaborative multi-agent was employed to accomplish process planning of part. The proposed multi-agent system consists of three types of autonomous agents, which are global manager agents, planning agents and manufacturing resource agents, respectively. Process planning can be automatically completed by multiple agents’ cooperation. Each agent is capable of communicating to each other through improved Knowledge Query and Manipulation Language (KQML. At last, one test part was designed and simulated to demonstrate the capabilities of this research in the study.

  2. Control Prosody using Multi-Agent System

    Directory of Open Access Journals (Sweden)

    Kenji MATSUI

    2014-03-01

    Full Text Available Persons who have undergone a laryngectomy have a few options to partially restore speech but no completely satisfactory device. Even though the use of an electrolarynx (EL is the easiest way for a patient to produce speech, it does not produce a natural tone and appearance is far from normal. Because of that and the fact that none of them are hands-free, the feasibility of using a motion sensor to replace a conventional EL user interface has been explored. A mobile device motion sensor with multi-agent platform has been used to investigate on/off and pitch frequency control capability. A very small battery operated ARM-based control unit has also been developed to evaluate the motion sensor based user-interface. This control unit is placed on the wrist and the vibration device against the throat using support bandage. Two different conversion methods were used for the forearm tilt angle to pitch frequency conversion: linear mapping method and F0 template-based method A perceptual evaluation has been performed with two well-trained normal speakers and ten subjects. The results of the evaluation study showed that both methods are able to produce better speech quality in terms of the naturalness.

  3. A Multi-Agent System Approach Applied to Light Raycasting

    Directory of Open Access Journals (Sweden)

    H. Andrade

    2012-08-01

    Full Text Available Light and shadows caused by the interaction with objects are important features in computer graphics which areusually taken into account to achieve realistic images. In order to simulate them, some attempts have been carried outwhich are based on direct illumination classical approaches as shadow mapping and shadow volumes. However,classical approaches in their beginnings could not support semi-transparent objects, soft-shadows, light interactionsinside objects and the possibility to update a scene based on previous information.In this paper a novel shadow casting approach is proposed to solve the previously mentioned problem using aninteractive cooperative multi agent system to provide a better understanding and easy customization of the renderedscenes; for instance, the scenes are represented with object agents that propagate rectilinear photon informationthrough them causing several changes on photon properties such as wavelength, intensity, among others. Thissystem uses a two-dimensional space represented by pixels.Our multi-agent system (MAS uses a blackboard architecture for storing and sharing data and the implicit invocationdesign pattern. The system was developed to calculate direct illumination in a two-dimensional space. In addition, theproposed system supports point light agents, opaque agents, semi-opaque agents and empty agents.A comparison is presented between the classic approaches and the proposed one presented in this work in scenescomposed of opaque and semi-opaque objects. The proposed approach, as opposed to the classical ones, allows theshadows to be casted by the light that passes through semi-opaque objects. The light is casted by one or many lightagents producing hard and soft shadows.

  4. Robust Delay-dependent H∞ Consensus Control for Multi-agent Systems with Input Delays

    Institute of Scientific and Technical Information of China (English)

    LI Zhen-Xing; JI Hai-Bo

    2014-01-01

    This paper investigates the consensus control for multi-agent systems subject to external disturbances, input delays and model uncertainties of networks. By defining an appropriate controlled output, we transform this question into a robust H∞control problem. Then, we give two criteria to judge the consensusability of closed-loop multi-agent systems and present a cone-complementary linearization algorithm to get the state feedback controller′s parameters. Finally, numerical examples are given to show the effectiveness of the proposed consensus protocols.

  5. Artificial force fields for multi-agent simulations of maritime traffic and risk estimation

    NARCIS (Netherlands)

    Xiao, F.; Ligteringen, H.; Van Gulijk, C.; Ale, B.J.M.

    2012-01-01

    A probabilistic risk model is designed to estimate probabilities of collisions for shipping accidents in busy waterways. We propose a method based on multi-agent simulation that uses an artificial force field to model ship maneuvers. The artificial force field is calibrated by AIS data (Automatic Id

  6. Distributed Research Project Scheduling Based on Multi-Agent Methods

    Directory of Open Access Journals (Sweden)

    Constanta Nicoleta Bodea

    2011-01-01

    Full Text Available Different project planning and scheduling approaches have been developed. The Operational Research (OR provides two major planning techniques: CPM (Critical Path Method and PERT (Program Evaluation and Review Technique. Due to projects complexity and difficulty to use classical methods, new approaches were developed. Artificial Intelligence (AI initially promoted the automatic planner concept, but model-based planning and scheduling methods emerged later on. The paper adresses the project scheduling optimization problem, when projects are seen as Complex Adaptive Systems (CAS. Taken into consideration two different approaches for project scheduling optimization: TCPSP (Time- Constrained Project Scheduling and RCPSP (Resource-Constrained Project Scheduling, the paper focuses on a multiagent implementation in MATLAB for TCSP. Using the research project as a case study, the paper includes a comparison between two multi-agent methods: Genetic Algorithm (GA and Ant Colony Algorithm (ACO.

  7. Multi-Agent Framework in Visual Sensor Networks

    Directory of Open Access Journals (Sweden)

    J. M. Molina

    2007-01-01

    Full Text Available The recent interest in the surveillance of public, military, and commercial scenarios is increasing the need to develop and deploy intelligent and/or automated distributed visual surveillance systems. Many applications based on distributed resources use the so-called software agent technology. In this paper, a multi-agent framework is applied to coordinate videocamera-based surveillance. The ability to coordinate agents improves the global image and task distribution efficiency. In our proposal, a software agent is embedded in each camera and controls the capture parameters. Then coordination is based on the exchange of high-level messages among agents. Agents use an internal symbolic model to interpret the current situation from the messages from all other agents to improve global coordination.

  8. A multi-agent system for monitoring patient flow.

    Science.gov (United States)

    Rosati, Samanta; Tralli, Augusta; Balestra, Gabriella

    2013-01-01

    Patient flow within a healthcare facility may follow different and, sometimes, complicated paths. Each path phase is associated with the documentation of the activities carried out during it and may require the consultation of clinical guidelines, medical literature and the use of specific software and decision aid systems. In this study we present the design of a Patient Flow Management System (PFMS) based on Multi Agent Systems (MAS) methodology. System requirements were identified by means of process modeling tools and a MAS consisting of six agents was designed and is under construction. Its main goal is to support both the medical staff during the health care process and the hospital managers in assuring that all the required documentation is completed and available. Moreover, such a tool can be used for the assessment and comparison of different clinical pathways, in order to identify possible improvementsand the optimum patient flow.

  9. MULTI-AGENT NEGOTIATION MODEL FOR SUPPLY CHAIN COMPANIES ORDERING UNDER RANDOM DEMAND%随机需求下供应链企业订购多 Agent 协商模型

    Institute of Scientific and Technical Information of China (English)

    武玉英; 李俊涛; 蒋国瑞

    2016-01-01

    针对随机需求下供应链产销订购冲突问题,考虑一个制造商和两个零售商组成的两级供应链,构建主从博弈下的多Agent协商模型。制造商作为博弈主方制定批发价,零售商作为从方选择最优订货量和零售价,制造商 Agent 和零售商 Agent 自动协商,运用模拟退火算法寻求模型的最优解。通过算例发现合理的让步策略和收益共享契约能够提高供应链系统利润,实现产销双方的互利共赢。验证模拟退火算法求解该模型比遗传算法能够得到更优解。%For the problem of ordering conflict between production and marketing of the supply chain under random demand,we considered a two-level supply chain consisting of one manufacturer and two retailers,and built the multi-Agent model under Stackelberg game.As the main party,the manufacturer develops the wholesale price,and the retailers as followers select the optimal order quantity and retail price.The manufacturer Agent and the retailers Agent negotiate automatically and use simulated annealing algorithm to discuss the optimal solution of the model.Through an example,we found that the reasonable concession strategy and revenue sharing contract could improve the supply chain profit,realise mutual benefits and win-win progress between the production and marketing;and this verified that the simulated annealing algorithm could get better optimal solution than genetic algorithm in solving the model.

  10. 基于时间和资源约束的多Agent双边动态协商模型%A Dynamic Bilateral Negotiation Model between Multi-agent under Time and Resource Constraints

    Institute of Scientific and Technical Information of China (English)

    王灿; 梁永全

    2014-01-01

    双边交易Agent协商中因时间、资源的约束和信息的不完整,常会导致协商失败和较差的协商收益。本文提出一种基于时间和资源双重约束下的多Agent动态协商模型,使用出价函数和出价曲线来设定Agent的策略,采用特定协议来描述协商资源对心理状态的影响。同时,定义了折中、保守和急躁三种协商策略以及心理状态对策略的动态改变规则。通过实验模拟发现“多买方、单卖方”条件下,采用提出的协商策略和动态协商算法能够提高协商效率、降低成交价格和提升协商满意度。%The bilateral bargaining agents with incomplete information will often fall into failure or cause poor utility of negotiation under time and resource constrains. We present a dynamic negotiation model between multi-agent under time and resource constraints by using offer function and offer curve to design agent’s strategy and adopting special protocol to describe the influence of negotiating resource on mental states. As well as we also define three negotiating strategies named compromised、conservative and impatient strategies and rules of the strategy’s changes with the transformation of mental states. Experiment shows that the proposed negotiating strategy and algorithm can improve the efficiency of negotiation, reduce the transaction price and enhance the satisfaction between buyers and seller under the “many buyers-to-one seller”model.

  11. Multi-agent System for Rapid TST Decision Support

    Science.gov (United States)

    2008-06-01

    13th ICCRTS: C2 for Complex Endeavors “ Multi - agent System for Rapid TST Decision Support” Topic #5, #8 and #9 Joseph Barker, Dr. Robert...OMB control number. 1. REPORT DATE JUN 2008 2. REPORT TYPE 3. DATES COVERED 00-00-2008 to 00-00-2008 4. TITLE AND SUBTITLE Multi - agent System for...unclassified Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18 13th ICCRTS: C2 for Complex Endeavors Multi - agent System for Rapid TST Decision

  12. Finite-time consensus of heterogeneous multi-agent systems

    Institute of Scientific and Technical Information of China (English)

    Zhu Ya-Kun; Guan Xin-Ping; Luo Xiao-Yuan

    2013-01-01

    We investigate the finite-time consensus problem for heterogeneous multi-agent systems composed of first-order and second-order agents.A novel continuous nonlinear distributed consensus protocol is constructed,and finite-time consensus criteria are obtained for the heterogeneous multi-agent systems.Compared with the existing results,the stationary and kinetic consensuses of the heterogeneous multi-agent systems can be achieved in a finite time respectively.Moreover,the leader can be a first-order or a second-order integrator agent.Finally,some simulation examples are employed to verify the efficiency of the theoretical results.

  13. Analysis of Bullying in Cooperative Multi-agent Systems’ Communications

    Directory of Open Access Journals (Sweden)

    Celia Gutiérrez

    2013-12-01

    Full Text Available Cooperative Multi-agent Systems frameworks do not include modules to test communications yet. The proposed framework incorporates robust analysis tools using IDKAnalysis2.0 to evaluate bullying effect in communications. The present work is based on ICARO-T. This platform follows the Adaptive Multi-agent Systems paradigm. Experimentation with ICARO-T includes two deployments: the equitative and the authoritative. Results confirm the usefulness of the analysis tools when exporting to Cooperative Multi-agent Systems that use different configurations. Besides, ICARO-T is provided with new functionality by a set of tools for communication analysis.

  14. Diagnosis of multi-agent systems and its application to public administration

    NARCIS (Netherlands)

    A. Boer; T. van Engers

    2011-01-01

    In this paper we present a model-based diagnosis view on the complex social systems in which large public administration organizations operate. The purpose of diagnosis as presented in this paper is to identify agent role instances that are not conforming to expectations in a multi-agent system (MAS

  15. Event-triggered hybrid control based on multi-Agent systems for Microgrids

    DEFF Research Database (Denmark)

    Dou, Chun-xia; Liu, Bin; Guerrero, Josep M.

    2014-01-01

    of distributed energy resources, thus it is typical hybrid dynamic network. Considering the complex hybrid behaviors, a hierarchical decentralized coordinated control scheme is firstly constructed based on multi-agent sys-tem, then, the hybrid model of the microgrid is built by using differential hybrid Petri...

  16. Experimental study on EV purchases assisted by multi-agents representing a set of questionnaires

    DEFF Research Database (Denmark)

    Wu, Juai; Xie, Dongliang; Zhang, Yu

    2014-01-01

    participants and the incomparability among repeated trials. Taking the customers’ willingness to buy EVs as an example, this paper extracts multi-layer correlation information from a limited number of questionnaires and builds a multi-agent model to match the probabilistic distributions of multi...

  17. Efficient Methods for Multi-agent Multi-issue Negotiation: Allocating Resources

    NARCIS (Netherlands)

    Wu, M.; De Weerdt, M.M.; La Poutré, H.

    2009-01-01

    In this paper, we present an automated multi-agent multi-issue negotiation solution to solve a resource allocation problem. We use a multilateral negotiation model, by which three agents bid sequentially in consecutive rounds till some deadline. Two issues are bundled and negotiated concurrently, so

  18. Collective coordination of multi-agent systems guided by multiple leaders

    Institute of Scientific and Technical Information of China (English)

    Hu Jiang-Ping; Yuan Hai-Wen

    2009-01-01

    A neighbour-based coordination scheme is proposed for a multi-agent system with multiple leaders. Under assumptions of the connectivity of the intereonnection topology and a simple first-order dynamics model for each mobile agent,the results show that all the agents will flock to the polytope region formed by the leaders.

  19. A New Algorithm for Resource Constraint Project Scheduling Problem Based on Multi-Agent Systems

    Institute of Scientific and Technical Information of China (English)

    何曙光; 齐二石; 李钢

    2003-01-01

    The resource constrained project scheduling problem (RCPSP) and a decision-making model based on multi-agent systems (MAS) and general equilibrium marketing are proposed. An algorithm leading to the resource allocation decision involved in RCPSP has also been developed. And this algorithm can be used in the multi-project scheduling field as well.Finally, an illustration is given.

  20. Diagnosis of multi-agent systems and its application to public administration

    NARCIS (Netherlands)

    Boer, A.; van Engers, T.; Abramowicz, W.; Maciaszek, L.; Węcel, K.

    2011-01-01

    In this paper we present a model-based diagnosis view on the complex social systems in which large public administration organizations operate. The purpose of diagnosis as presented in this paper is to identify agent role instances that are not conforming to expectations in a multi-agent system

  1. 2015 Special Sessions of the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems

    CERN Document Server

    Hernández, Josefa; Mathieu, Philippe; Campbell, Andrew; Fernández-Caballero, Antonio; Moreno, María; Julián, Vicente; Alonso-Betanzos, Amparo; Jiménez-López, María; Botti, Vicente; Trends in Practical Applications of Agents, Multi-Agent Systems and Sustainability : the PAAMS Collection

    2015-01-01

    This volume presents the papers that have been accepted for the 2015 special sessions of the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, held at University of Salamanca, Spain, at 3rd-5th June, 2015: Agents Behaviours and Artificial Markets (ABAM); Agents and Mobile Devices (AM); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web Mining and Recommender systems (WebMiRes); Learning, Agents and Formal Languages (LAFLang); Agent-based Modeling of Sustainable Behavior and Green Economies (AMSBGE); Emotional Software Agents (SSESA) and Intelligent Educational Systems (SSIES). The volume also includes the paper accepted for the Doctoral Consortium in PAAMS 2015. PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest develo...

  2. Medical Application Using Multi Agent System - A Literature Survey

    Directory of Open Access Journals (Sweden)

    Sougata Chakraborty

    2014-02-01

    Full Text Available In this paper we have projected on the involvement of multi-agent system in medical or health care domain. The objective of this study is to provide future researchers more resourceful and focused review of various research papers in this domain. Multi-agent system is most suitable for healthcare paradigm, as the properties of agent based systems deals with heterogeneous multiple agents. Data distribution and data management in a dynamic and distributed environment with multi-user cooperation, made multi-agent system more significant in this field. The disposition of this paper is classified on the basis of theoretical and application approach. We have tried to cover few relevant papers published on last decade. The main aim of this literature survey is to provide a complete road map on multi agent system based research on medical health care platform.

  3. A dialogue game approach to multi-agent system programming

    OpenAIRE

    Lebbink, Henk-Jan; Witteman, Cilia; Meyer, John-Jules Ch.

    2004-01-01

    This paper approaches multi-agent system programming with dialogue games allowing the semantics of communicative acts to be a component in multi-agent architectures. We present a dialogue game for enquiry enabling agents to answer questions in a distributed fashion. In addition, we propose a reasoning game that defines when agents are allowed to make decisions, in the current case, decisions to accept to believe propositions. These games are brought together in a deliberation cycle and are im...

  4. Multi-Agent Reinforcement Learning and Adaptive Neural Networks.

    Science.gov (United States)

    2007-11-02

    learning method. The objective was to study the utility of reinforcement learning as an approach to complex decentralized control problems. The major...accomplishment was a detailed study of multi-agent reinforcement learning applied to a large-scale decentralized stochastic control problem. This study...included a very successful demonstration that a multi-agent reinforcement learning system using neural networks could learn high-performance

  5. Research and Application of Multi-Agent Technology

    Institute of Scientific and Technical Information of China (English)

    Li Wei; Zhang Fengming

    2006-01-01

    This paper firstly introduces the background and conception of Agent and Multi-Agent technology and compares the frameworks of Agent system and MAS. Analyzing the framework of Agent secondly. Then explaining the communication language used in the Multi-Agent society where knowledge communication plays a key role among Agents. Finally, some applications are enumerated and the future direction of this technology is prospected.

  6. Simulation and evaluation of urban rail transit network based on multi-agent approach

    Directory of Open Access Journals (Sweden)

    Xiangming Yao

    2013-03-01

    Full Text Available Purpose: Urban rail transit is a complex and dynamic system, which is difficult to be described in a global mathematical model for its scale and interaction. In order to analyze the spatial and temporal characteristics of passenger flow distribution and evaluate the effectiveness of transportation strategies, a new and comprehensive method depicted such dynamic system should be given. This study therefore aims at using simulation approach to solve this problem for subway network. Design/methodology/approach: In this thesis a simulation model based on multi-agent approach has been proposed, which is a well suited method to design complex systems. The model includes the specificities of passengers’ travelling behaviors and takes into account of interactions between travelers and trains. Findings: Research limitations/implications: We developed an urban rail transit simulation tool for verification of the validity and accuracy of this model, using real passenger flow data of Beijing subway network to take a case study, results show that our simulation tool can be used to analyze the characteristic of passenger flow distribution and evaluate operation strategies well. Practical implications: The main implications of this work are to provide decision support for traffic management, making train operation plan and dispatching measures in emergency. Originality/value: A new and comprehensive method to analyze and evaluate subway network is presented, accuracy and computational efficiency of the model has been confirmed and meet with the actual needs for large-scale network.

  7. Swarming behavior of multi-agent systems

    Institute of Scientific and Technical Information of China (English)

    Hong SHI; Long WANG; Tianguang CHU

    2004-01-01

    We consider an anisotropic swarm model with an attraction/repulsion function and study its aggregation properties.It is shown that the swarm members will aggregate and eventually form a cohesive cluster of finite size around the swarm center in a finite time.Moreover,we extend our results to more general attraction/repulsion functions.Numerical simulations demonstrate that all agents will eventually enter into and remain in a bounded region around the swarm center which may exhibit complex spiral motion due to asymmetry of the coupling structure.The model in this paper is more general than isotropic swarms and our results provide further insight into the effect of the interaction pattern on individual motion in a swarm system.

  8. A new approach of designing Multi-Agent Systems

    Directory of Open Access Journals (Sweden)

    Sara Maalal

    2011-11-01

    Full Text Available Agent technology is a software paradigm that permits to implement large and complex distributed applications [1]. In order to assist analyzing, conception and development or implementation phases of multi-agent systems, we’ve tried to present a practical application of a generic and scalable method of a MAS with a component-oriented architecture and agent-based approach that allows MDA to generate source code from a given model. We’ve designed on AUML the class diagrams as a class meta-model of different agents of a MAS. Then we generated the source code of the models developed using an open source tool called AndroMDA. This agent-based and evolutive approach enhances the modularity and genericity developments and promotes their reusability in future developments. This property distinguishes our design methodology of existing methodologies in that it is constrained by any particular agent-based model while providing a library of generic models [2].

  9. Multi-agent Research in Web Information Retrieval%多智能Agent在Web信息检索中的研究

    Institute of Scientific and Technical Information of China (English)

    乔伟

    2011-01-01

    本文介绍了人工智能领域的Agent技术,以及其基本特性和一些主要功能。通过对Agent系统结构分析提出多智能Agent工作模型。通过对Agent之同通讯研究开发新的规则和解决方法,通过对多Agent协作不仅改善了单个Agent的基本处理能力,而且可以从Agent系统的交互协作中进一步理解多智能Agent系统的现实意义%This paper describes the Agent field of artificial intelligence technology, and its basic features and some major features.Agent system by structural analysis of the proposed Multi-Agent working model.Agent of the same communication through research and development of new rules and solutions,through the Multi-Agent collaboration is not only to improve the basic processing of a single Agent ability, but also from the interactive collaboration Agent System Multi Agent System to further understand the practical significance.

  10. Network Management using Multi-Agents System

    Directory of Open Access Journals (Sweden)

    Nestor DUQUE

    2013-07-01

    Full Text Available This paper aims to present a multiagent system for network management. The models developed for the proposed system defines certain intelligent agents interact to achieve the objectives and requirements of the multiagent organization.These agents have the property of being adaptive, acquire knowledge and skills to make decisions according to the actual state of the network that is represented in the information base, MIB, SNMP devices. The ideal state of the network policy is defined by the end user entered, which contain the value that should have performance variables and other parameters such as the frequency with which these variables should be monitored.. An agent based architecture increase the integration, adaptability, cooperation, autonomy and the efficient operation in heterogeneous environment in the network supervision. 

  11. Network Management using Multi-Agents System

    Directory of Open Access Journals (Sweden)

    Gustavo ISAZA

    2012-12-01

    Full Text Available This paper aims to present a multiagent system for network management. The models developed for the proposed system defines certain intelligent agents interact to achieve the objectives and requirements of the multiagent organization.These agents have the property of being adaptive, acquire knowledge and skills to make decisions according to the actual state of the network that is represented in the information base, MIB, SNMP devices. The ideal state of the network policy is defined by the end user entered, which contain the value that should have performance variables and other parameters such as the frequency with which these variables should be monitored.. An agent based architecture increase the integration, adaptability, cooperation, autonomy and the efficient operation in heterogeneous environment in the network supervision. 

  12. Framework of multi-agent system and consultation mechanism%一种多agent系统框架与协商机制研究

    Institute of Scientific and Technical Information of China (English)

    王鲁; 王志良; 杨溢

    2012-01-01

    从基于动态、异构网络上快速构建稳健的多agent系统出发,设计了多agent远程过程调用通信模型,定义了三种基本类型的agent,对KQML消息规范进行扩展,增加了对消息生存周期的控制,设计了双缓存消息推送器以实现agent消息的主动推送,并在WCF的基础上实现了该通信框架.针对同目标多agent协作系统提出了基于开销均衡的agent系统交互协商策略,通过实例证明相对于独立运行和基于正交互协商策略的agent系统,本协商策略可有效降低系统总开销,并可使运行负载更为均衡.%Based on dynamic, heterogeneous network to quickly build robust multi-agent system, this paper designed a remote procedure call model for multi-agent communication, and defined three basic types of agent, extended KQML message specification to control message life cycle. It designed a double-cache message pusher to push agent message actively, and realized the communication framework on the basis of WCF. This paper proposed a multi-agent negotiation strategy based on cost balance for multi-agent collaboration system with same target. The example proves that, compared to the system that agents operate independently or use interactive negotiation strategy, this negotiation strategy can effectively reduce the total system cost, and can run the load more evenly.

  13. MAINS: MULTI-AGENT INTELLIGENT SERVICE ARCHITECTURE FOR CLOUD COMPUTING

    Directory of Open Access Journals (Sweden)

    T. Joshva Devadas

    2014-04-01

    Full Text Available Computing has been transformed to a model having commoditized services. These services are modeled similar to the utility services water and electricity. The Internet has been stunningly successful over the course of past three decades in supporting multitude of distributed applications and a wide variety of network technologies. However, its popularity has become the biggest impediment to its further growth with the handheld devices mobile and laptops. Agents are intelligent software system that works on behalf of others. Agents are incorporated in many innovative applications in order to improve the performance of the system. Agent uses its possessed knowledge to react with the system and helps to improve the performance. Agents are introduced in the cloud computing is to minimize the response time when similar request is raised from an end user in the globe. In this paper, we have introduced a Multi Agent Intelligent system (MAINS prior to cloud service models and it was tested using sample dataset. Performance of the MAINS layer was analyzed in three aspects and the outcome of the analysis proves that MAINS Layer provides a flexible model to create cloud applications and deploying them in variety of applications.

  14. Multi Site Coordination using a Multi-Agent System

    CERN Document Server

    Monteiro, Thibaud; Anciaux, Didier

    2008-01-01

    A new approach of coordination of decisions in a multi site system is proposed. It is based this approach on a multi-agent concept and on the principle of distributed network of enterprises. For this purpose, each enterprise is defined as autonomous and performs simultaneously at the local and global levels. The basic component of our approach is a so-called Virtual Enterprise Node (VEN), where the enterprise network is represented as a set of tiers (like in a product breakdown structure). Within the network, each partner constitutes a VEN, which is in contact with several customers and suppliers. Exchanges between the VENs ensure the autonomy of decision, and guarantiee the consistency of information and material flows. Only two complementary VEN agents are necessary: one for external interactions, the Negotiator Agent (NA) and one for the planning of internal decisions, the Planner Agent (PA). If supply problems occur in the network, two other agents are defined: the Tier Negotiator Agent (TNA) working at t...

  15. A multi-agent intelligent environment for medical knowledge.

    Science.gov (United States)

    Vicari, Rosa M; Flores, Cecilia D; Silvestre, André M; Seixas, Louise J; Ladeira, Marcelo; Coelho, Helder

    2003-03-01

    AMPLIA is a multi-agent intelligent learning environment designed to support training of diagnostic reasoning and modelling of domains with complex and uncertain knowledge. AMPLIA focuses on the medical area. It is a system that deals with uncertainty under the Bayesian network approach, where learner-modelling tasks will consist of creating a Bayesian network for a problem the system will present. The construction of a network involves qualitative and quantitative aspects. The qualitative part concerns the network topology, that is, causal relations among the domain variables. After it is ready, the quantitative part is specified. It is composed of the distribution of conditional probability of the variables represented. A negotiation process (managed by an intelligent MediatorAgent) will treat the differences of topology and probability distribution between the model the learner built and the one built-in in the system. That negotiation process occurs between the agents that represent the expert knowledge domain (DomainAgent) and the agent that represents the learner knowledge (LearnerAgent).

  16. A Scaffolding Framework to Support Learning of Emergent Phenomena Using Multi-Agent-Based Simulation Environments

    Science.gov (United States)

    Basu, Satabdi; Sengupta, Pratim; Biswas, Gautam

    2015-04-01

    Students from middle school to college have difficulties in interpreting and understanding complex systems such as ecological phenomena. Researchers have suggested that students experience difficulties in reconciling the relationships between individuals, populations, and species, as well as the interactions between organisms and their environment in the ecosystem. Multi-agent-based computational models (MABMs) can explicitly capture agents and their interactions by representing individual actors as computational objects with assigned rules. As a result, the collective aggregate-level behavior of the population dynamically emerges from simulations that generate the aggregation of these interactions. Past studies have used a variety of scaffolds to help students learn ecological phenomena. Yet, there is no theoretical framework that supports the systematic design of scaffolds to aid students' learning in MABMs. Our paper addresses this issue by proposing a comprehensive framework for the design, analysis, and evaluation of scaffolding to support students' learning of ecology in a MABM. We present a study in which middle school students used a MABM to investigate and learn about a desert ecosystem. We identify the different types of scaffolds needed to support inquiry learning activities in this simulation environment and use our theoretical framework to demonstrate the effectiveness of our scaffolds in helping students develop a deep understanding of the complex ecological behaviors represented in the simulation..

  17. Digital Watermark Tracking using Intelligent Multi-Agents System

    Directory of Open Access Journals (Sweden)

    Nagaraj V. DHARWADKAR

    2010-01-01

    Full Text Available E-commerce has become a huge business and adriving factor in the development of the Internet. Onlineshopping services are well established. Due to the evolution of2G and 3G mobile networks, soon online shopping services arecomplemented by their wireless counterparts. Furthermore, inthe recent years online delivery of digital media, such as MP3audio or video or image is very popular and will become anincreasingly important part of E-commerce. The advantage ofinternet is sharing the valuable digital data which lead to misuseof digital data. To resolve the problem of misuse of digital dataon Internet we need to have strong Digital rights monitoringsystem. Digital Rights Management (DRM is fairly youngdiscipline, while some of its underlying technologies have beenknown from many years. The use of DRM for managing andprotecting intellectual property rights is a comparatively newfield. In this paper we propose a model for online digital imagelibrary copyright protection based on watermark trackingSystem.In our proposed model the tracking of watermarks onremote host nodes is done using active mobile agents. The multiagentsystem architecture is used in watermark tracking whichsupports the coordination of several component tasks acrossdistributed and flexible networks of information sources.Whereas a centralized system is susceptible to system-widefailures and processing bottlenecks, multi-agent systems aremore reliable, especially given the likelihood of individualcomponent failures.

  18. Designing of Roaming Protocol for Bluetooth Equipped Multi Agent Systems

    Science.gov (United States)

    Subhan, Fazli; Hasbullah, Halabi B.

    Bluetooth is an established standard for low cost, low power, wireless personal area network. Currently, Bluetooth does not support any roaming protocol in which handoff occurs dynamically when a Bluetooth device is moving out of the piconet. If a device is losing its connection to the master device, no provision is made to transfer it to another master. Handoff is not possible in a piconet, as in order to stay within the network, a slave would have to keep the same master. So, by definition intra-handoff is not possible within a piconet. This research mainly focuses on Bluetooth technology and designing a roaming protocol for Bluetooth equipped multi agent systems. A mathematical model is derived for an agent. The idea behind the mathematical model is to know when to initiate the roaming process for an agent. A desired trajectory for the agent is calculated using its x and y coordinates system, and is simulated in SIMULINK. Various roaming techniques are also studied and discussed. The advantage of designing a roaming protocol is to ensure the Bluetooth enabled roaming devices can freely move inside the network coverage without losing its connection or break of service in case of changing the base stations.

  19. 3D multi-object segmentation of cardiac MSCT imaging by using a multi-agent approach.

    Science.gov (United States)

    Fleureau, Julien; Garreau, Mireille; Boulmier, Dominique; Hernández, Alfredo

    2007-01-01

    We propose a new technique for general purpose, semi-interactive and multi-object segmentation in N-dimensional images, applied to the extraction of cardiac structures in MultiSlice Computed Tomography (MSCT) imaging. The proposed approach makes use of a multi-agent scheme combined with a supervised classification methodology allowing the introduction of a priori information and presenting fast computing times. The multi-agent system is organised around a communicating agent which manages a population of situated agents which segment the image through cooperative and competitive interactions. The proposed technique has been tested on several patient data sets. Some typical results are finally presented and discussed.

  20. Cement industry control system based on multi agent

    Institute of Scientific and Technical Information of China (English)

    王海东; 邱冠周; 黄圣生

    2004-01-01

    Cement production is characterized by its great capacity, long-time delay, multi variables, difficult measurement and muhi disturbances. According to the distributed intelligent control strategy based on the multi agent, the multi agent control system of cement production is built, which includes integrated optimal control and diagnosis control. The distributed and multiple level structure of multi agent system for the cement control is studied. The optimal agent is in the distributed state, which aims at the partial process of the cement production, and forms the optimal layer. The diagnosis agent located on the diagnosis layer is the diagnosis unit which aims at the whole process of the cement production, and the central management unit of the system. The system cooperation is realized by the communication among optimal agents and diagnosis agent. The architecture of the optimal agent and the diagnosis agent are designed. The detailed functions of the optimal agent and the diagnosis agent are analyzed.At last the realization methods of the agents are given, and the application of the multi agent control system is presented. The multi agent system has been successfully applied to the off-line control of one cement plant with capacity of 5 000 t/d. The results show that the average yield of the clinker increases 9.3% and the coal consumption decreases 7.5 kg/t.

  1. Compositional verification of a multi-agent system for one-to-many negotiation

    NARCIS (Netherlands)

    Brazier, F.M.T.; Cornelissen, F.J.; Gustavsson, R.; Jonker, C.M.; Lindeberg, O.; Polak, B.; Treur, J.

    2004-01-01

    Verification of multi-agent systems hardly occurs in design practice. One of the difficulties is that required properties for a multi-agent system usually refer to multi-agent behaviour which has nontrivial dynamics. To constrain these multi-agent behavioural dynamics, often a form of organisational

  2. Endogenous Price Bubbles in a Multi-Agent System of the Housing Market.

    Science.gov (United States)

    Kouwenberg, Roy; Zwinkels, Remco C J

    2015-01-01

    Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news.

  3. Endogenous Price Bubbles in a Multi-Agent System of the Housing Market.

    Directory of Open Access Journals (Sweden)

    Roy Kouwenberg

    Full Text Available Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news.

  4. Endogenous Price Bubbles in a Multi-Agent System of the Housing Market

    Science.gov (United States)

    2015-01-01

    Economic history shows a large number of boom-bust cycles, with the U.S. real estate market as one of the latest examples. Classical economic models have not been able to provide a full explanation for this type of market dynamics. Therefore, we analyze home prices in the U.S. using an alternative approach, a multi-agent complex system. Instead of the classical assumptions of agent rationality and market efficiency, agents in the model are heterogeneous, adaptive, and boundedly rational. We estimate the multi-agent system with historical house prices for the U.S. market. The model fits the data well and a deterministic version of the model can endogenously produce boom-and-bust cycles on the basis of the estimated coefficients. This implies that trading between agents themselves can create major price swings in absence of fundamental news. PMID:26107740

  5. Students Performance Prediction System Using Multi Agent Data Mining Technique

    Directory of Open Access Journals (Sweden)

    Abdullah AL-Malaise

    2014-09-01

    Full Text Available A high prediction accuracy of the students’ performance is more helpful to identify the low performance students at the beginning of the learning process. Data mining is used to attain this objective. Data mining techniques are used to discover models or patterns of data, and it is much helpful in the decision-making. Boosting technique is the most popular techniques for constructing ensembles of classifier to improve the classification accuracy. Adaptive Boosting (AdaBoost is a generation of boosting algorithm. It is used for the binary classification and not applicable to multiclass classification directly. SAMME boosting technique extends AdaBoost to a multiclass classification without reduce it to a set of sub-binary classification. In this paper, students’ performance prediction system using Multi Agent Data Mining is proposed to predict the performance of the students based on their data with high prediction accuracy and provide help to the low students by optimization rules. The proposed system has been implemented and evaluated by investigate the prediction accuracy of Adaboost.M1 and LogitBoost ensemble classifiers methods and with C4.5 single classifier method. The results show that using SAMME Boosting technique improves the prediction accuracy and outperformed C4.5 single classifier and LogitBoost.

  6. A Multi-Agent System Architecture for Sensor Networks

    Science.gov (United States)

    Fuentes-Fernández, Rubén; Guijarro, María; Pajares, Gonzalo

    2009-01-01

    The design of the control systems for sensor networks presents important challenges. Besides the traditional problems about how to process the sensor data to obtain the target information, engineers need to consider additional aspects such as the heterogeneity and high number of sensors, and the flexibility of these networks regarding topologies and the sensors in them. Although there are partial approaches for resolving these issues, their integration relies on ad hoc solutions requiring important development efforts. In order to provide an effective approach for this integration, this paper proposes an architecture based on the multi-agent system paradigm with a clear separation of concerns. The architecture considers sensors as devices used by an upper layer of manager agents. These agents are able to communicate and negotiate services to achieve the required functionality. Activities are organized according to roles related with the different aspects to integrate, mainly sensor management, data processing, communication and adaptation to changes in the available devices and their capabilities. This organization largely isolates and decouples the data management from the changing network, while encouraging reuse of solutions. The use of the architecture is facilitated by a specific modelling language developed through metamodelling. A case study concerning a generic distributed system for fire fighting illustrates the approach and the comparison with related work. PMID:22303172

  7. A multi-agent system architecture for sensor networks.

    Science.gov (United States)

    Fuentes-Fernández, Rubén; Guijarro, María; Pajares, Gonzalo

    2009-01-01

    The design of the control systems for sensor networks presents important challenges. Besides the traditional problems about how to process the sensor data to obtain the target information, engineers need to consider additional aspects such as the heterogeneity and high number of sensors, and the flexibility of these networks regarding topologies and the sensors in them. Although there are partial approaches for resolving these issues, their integration relies on ad hoc solutions requiring important development efforts. In order to provide an effective approach for this integration, this paper proposes an architecture based on the multi-agent system paradigm with a clear separation of concerns. The architecture considers sensors as devices used by an upper layer of manager agents. These agents are able to communicate and negotiate services to achieve the required functionality. Activities are organized according to roles related with the different aspects to integrate, mainly sensor management, data processing, communication and adaptation to changes in the available devices and their capabilities. This organization largely isolates and decouples the data management from the changing network, while encouraging reuse of solutions. The use of the architecture is facilitated by a specific modelling language developed through metamodelling. A case study concerning a generic distributed system for fire fighting illustrates the approach and the comparison with related work.

  8. A Multi-Agent System Architecture for Sensor Networks

    Directory of Open Access Journals (Sweden)

    María Guijarro

    2009-12-01

    Full Text Available The design of the control systems for sensor networks presents important challenges. Besides the traditional problems about how to process the sensor data to obtain the target information, engineers need to consider additional aspects such as the heterogeneity and high number of sensors, and the flexibility of these networks regarding topologies and the sensors in them. Although there are partial approaches for resolving these issues, their integration relies on ad hoc solutions requiring important development efforts. In order to provide an effective approach for this integration, this paper proposes an architecture based on the multi-agent system paradigm with a clear separation of concerns. The architecture considers sensors as devices used by an upper layer of manager agents. These agents are able to communicate and negotiate services to achieve the required functionality. Activities are organized according to roles related with the different aspects to integrate, mainly sensor management, data processing, communication and adaptation to changes in the available devices and their capabilities. This organization largely isolates and decouples the data management from the changing network, while encouraging reuse of solutions. The use of the architecture is facilitated by a specific modelling language developed through metamodelling. A case study concerning a generic distributed system for fire fighting illustrates the approach and the comparison with related work.

  9. Multi-agent Belief Revision with Linked Preferences

    Science.gov (United States)

    van Eijck, Jan; Sietsma, Floor

    In this paper we forge a connection between dynamic epistemic logics of belief revision on one hand and studies of collective judgement and multi-agent preference change on the other. Belief revision in the spirit of dynamic epistemic logic uses updating with relational substitutions to change the beliefs of individual agents. Collective judgement in social choice theory studies the collective outcomes of individual belief changes. We start out from the logic of communication and change (LCC) without constraints, and then study the effects of imposing a single constraint, namely the constraint that the agent's preference relations are linked. Finally, we show that the resulting framework can be used to model consensus seeking procedures. We focus on the case of plenary Dutch meetings. In Dutch meetings, a belief change (or rather: preference change) is performed for all agents in the meeting if a majority believes (or: is in favour of) the proposition that is under discussion. A special case of these meetings is judgement aggregation, and we apply our framework to the discursive dilemma in this field. Our framework has obvious connections to coalition logic and social choice theory.

  10. A Multi-Agent Approach for the Extract-Transform-Load Process Support in Data Warehouses

    OpenAIRE

    Daniel Betancur-Calderón; Julián Moreno-Cadavid

    2012-01-01

    In order to provide an adequate solution in terms of robustness and automation in the process of Extract-Transform-Load (ETL) in data warehouses, in this article a multi-agent model that gathers the strengths of other approaches like wrappers and ad-hoc solutions is presented. Such a model considers the heterogeneity and availability of the data sources as well as their distributed nature. For its validation an experiment was performed using simulated and real data, which demonstrated not onl...

  11. Technology of structure damage monitoring based on multi-agent

    Institute of Scientific and Technical Information of China (English)

    Hongbing Sun; Shenfang Yuan; Xia Zhao; Hengbao Zhou; Dong Liang

    2010-01-01

    The health monitoring for large-scale structures need to resolve a large number of difficulties,such as the data transmission and distributing information handling.To solve these problems,the technology of multi-agent is a good candidate to be used in the field of structural health monitoring.A structural health monitoring system architecture based on multi-agent technology is proposed.The measurement system for aircraft airfoil is designed with FBG,strain gage,and corresponding signal processing circuit.The experiment to determine the location of the concentrate loading on the structure is carried on with the system combined with technologies of pattern recognition and multi-agent.The results show that the system can locate the concentrate loading of the aircraft airfoil at the accuracy of 91.2%.

  12. Functional Integrity of Some Class of Multi-Agent Systems

    Directory of Open Access Journals (Sweden)

    Krzysztof Cetnarowicz

    1999-01-01

    Full Text Available Multi-agent systems have many advantages and give numerous new possibilities in creation of information systems. However many problems related to functioning of the systems are still unsolved. Functional integrity of multi-agents systems belongs to such problems. Functional integrity of multi-agent systems may be defined in general as preservation of basic functions of the system during its functioning. Functional integrity may be analyzed from the point of view of different functions of the system (the functions that should be preserved and also from the point of view of various factors that may influence the loss or preservation of functional integrity of the system. The paper deals with examination of functional integrity of multi-agent system depending upon number of agents (global and of particular types. During system work, agents generate agents of the same or different type that depend on their possibilities and system needs. The process performed without use of appropriate control mechanisms may lead to excessive (blocking of the system or too little number of agents and even lack of agents (disappearance of the functions of a system that are performed by agents of a certain type. A proposal of functional integrity phenomenon analysis of multi-agent systems that is related to the number of agents in their population and a proposal of mechanisms that enable maintenance of functional integrity, in particular a concept of the so-called ``free agents'' have been presented in the paper. Consideration has been carried out on the basis of simulation examination of some class of multi-agent systems. Results of simulation of proposed solutions have been included in the work.

  13. 基于Multi-agent理论的社会网络文体分类方法%Social Network Style Classification Method Based on Multi-agent Theory

    Institute of Scientific and Technical Information of China (English)

    吴家菁; 王杨; 闫小敬; 赵传信; 陈付龙

    2014-01-01

    Recently, there are some problems like extracting hardly and lacking classification methods in stylistic classification of social networks. Combining network stylistic diversity, multi-attribution and dynamic characteristics .A attribute fusion and thesaurus associated method based multi-agent has been proposed from feature extraction. Firstly, it extracts the basic attributes of keywords and meaning of characteristics. Then, a multi-agent fusion classification model has been established with the interaction of multi-agent and it also gives the algorithm of the model. The experimental results show that this method which compares with the traditional single fusion classification classifier and other multi-classifier fusion classification not only achieves the high-precision network stylistic classification in semantic network through Semantic features extraction but also receives Social Network stylistic classification’s automation. The method has a higher accuracy classification and stability.%针对当前社会网络中的文体分类存在分类效果不理想问题,结合网络文体的多样性、多归属性及动态性的特征,提出了一种基于multi-agent的属性融合和词库关联的网络文体分类方法。首先提取网络文体的特征关键词和词义等基本属性,建立 Multi-agent 的融合分类模型,并给出了基于 Multi-agent 的社会网络文体融合分类算法。实验结果表明该方法与传统单分类器以及其他多分类器融合分类方法相比,不仅可以通过语义特征提取对语义网络中的网络文体进行高精度分类,而且可以实现社会网络文体分类的自动化,具有更高的分类精度与稳定性。

  14. Consensus protocol for multi-agent continuous systems

    Institute of Scientific and Technical Information of China (English)

    Tan Fu-Xiao; Guan Xin-Ping; Liu De-Rong

    2008-01-01

    Based on the algebraic graph theory,the networked multi-agent continuous systems are investigated.Firstly,the digraph(directed graph)represents the topology of a networked system,and then a consensus convergence criterion of system is proposed.Secondly,the issue of stability of multi-agent systems and the consensus convergence problem of information states are all analysed.Furthermore,the Consensus equilibrium point of system is proved to be global and asymptotically reach the convex combination of initial states.Finally,two examples are taken to show the effectiveness of the results obtained in this paper.

  15. Designing a Multi Agent System Architecture for IT Governance Platform

    Directory of Open Access Journals (Sweden)

    S. ELHASNAOUI

    2014-06-01

    Full Text Available This paper presents a multi-agents architecture which facilitates the integration of three major IT governance frameworks: COBIT5, ITIL V3 and ISO/IEC27002, to optimize the construction of a distributed system. This architecture proposes a new and easier method to develop a distributed multi agents system, where agents involved in this system can communicate in a distributed way thanks to functionalities offered by the system. It gives finally an overview of implementation of a prototype of the proposed solution limited for the moment to integration of processes most used in the majority of information systems.

  16. Improving Multi agent Systems Based on Reinforcement Learning and Case Base Reasoning

    Directory of Open Access Journals (Sweden)

    Sara Esfandiari

    2012-01-01

    Full Text Available In this paper, a new algorithm based on case base reasoning and reinforcement learning is proposed to increase the rate convergence of the Selfish Q-Learning algorithms in multi-agent systems. In the propose method, we investigate how making improved action selection in reinforcement learning (RL algorithm. In the proposed method, the new combined model using case base reasoning systems and a new optimized function has been proposed to select the action, which has led to an increase in algorithms based on Selfish Q-learning. The algorithm mentioned has been used for solving the problem of cooperative Markovs games as one of the models of Markov based multi-agent systems. The results of experiments on two ground have shown that the proposed algorithm perform better than the existing algorithms in terms of speed and accuracy of reaching the optimal policy.

  17. Deliberative evolution in multi-agent systems

    NARCIS (Netherlands)

    Brazier, F.M.T.; Jonker, C.M.; Treur, J.; Wijngaards, N.J.E.

    2001-01-01

    Evolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents. An architecture for an

  18. Nondestructive intervention to multi-agent systems through an intelligent agent.

    Science.gov (United States)

    Han, Jing; Wang, Lin

    2013-01-01

    For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents). However, we add one intelligent agent, called 'shill', which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior.

  19. Enhancing Security in E-Health Communications using Multi-Agent System

    Directory of Open Access Journals (Sweden)

    Dharmendra Sharma

    2012-01-01

    Full Text Available Problem statement: In this study, we address the security needs in online communications, specifically in the e-health domain. We focus on how to provide different security strengths to different types of communications in e-health, where each communication transmits different types of information with different levels of sensitivity. Approach: The Multi-Agent System (MAS approach is used to develop an agent-based system that can cater for distributed processes. We use the agents’ characteristics such as autonomous, interactive, extendible and mobile to handle the security processes for users in different environments and devices. We integrate different types of encryption algorithms with different security strengths in order to provide different security needs. Results: We present our security model called MAgSeM that consists of eight agents, which are skilled to complete its goal as well as the overall system goals autonomously. Conclusion: We conclude that MAgSeM security model is suitable not only for the e-health domain, but also other domains that practices online communications.

  20. Nondestructive intervention to multi-agent systems through an intelligent agent.

    Directory of Open Access Journals (Sweden)

    Jing Han

    Full Text Available For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents. However, we add one intelligent agent, called 'shill', which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior.

  1. Probability collectives a distributed multi-agent system approach for optimization

    CERN Document Server

    Kulkarni, Anand Jayant; Abraham, Ajith

    2015-01-01

    This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.

  2. A Multi-Agent Framework for Coordination of Intelligent Assistive Technologies

    DEFF Research Database (Denmark)

    Valente, Pedro Ricardo da Nova; Hossain, S.; Groenbaek, B.

    2010-01-01

    Intelligent care for the future is the IntelliCare project's main priority. This paper describes the design of a generic multi-agent framework for coordination of intelligent assistive technologies. The paper overviews technologies and software systems suitable for context awareness and housekeep...... an indoor localization system, is it possible to compare with real robot positions. From this, we can make some platform assumptions regarding heterogeneous robot cooperation, by thinking further i.e. sharing workspace with humans....... indoor localization system for real-time localization. We conducted an experiment in two steps: first, creating and testing interaction interfaces with and between robotic systems, and secondly, wrapping all in a multi-agent system, defining a vacuuming-cleaning ontology. With the pose data from...... and housekeeping tasks, especially for performing a multi-robot cleaning-task activity. It also describes conducted work in the design of a multi-agent platform for coordination of intelligent assistive technologies. Instead of using traditional robot odometry estimation methods, we have tested an independent...

  3. Engineering a Multi-Agent System in GOAL

    DEFF Research Database (Denmark)

    Villadsen, Jørgen; Jensen, Andreas Schmidt; Christensen, Nicolai Christian

    2013-01-01

    We provide a brief description of the GOAL-DTU system, including the overall design, the tools and the algorithms that we used in the Multi-Agent Programming Contest 2013. We focus on a description of the strategies and on an analysis of the matches. We also evaluate our experiences with the GOAL...

  4. Robust Synchronization of Uncertain Linear Multi-Agent Systems

    NARCIS (Netherlands)

    Trentelman, Harry L.; Takaba, Kiyotsugu; Monshizadeh Naini, Nima

    2013-01-01

    This paper deals with robust synchronization of uncertain multi-agent networks. Given a network with for each of the agents identical nominal linear dynamics, we allow uncertainty in the form of additive perturbations of the transfer matrices of the nominal dynamics. The perturbations are assumed to

  5. The norm implementation problem in normative multi-agent systems

    NARCIS (Netherlands)

    Grossi, D.; Gabbay, D.; van der Torre, L.; Dastani, M.; Hindriks, K.V.; Meyer, J-J.C.

    2010-01-01

    The norm implementation problem consists in how to see to it that the agents in a system comply with the norms specified for that system by the system designer. It is part of the more general problem of how to synthesize or create norms for multi-agent systems, by, for example, highlighting the choi

  6. Reimplementing a Multi-Agent System in Python

    DEFF Research Database (Denmark)

    Villadsen, Jørgen; Jensen, Andreas Schmidt; Ettienne, Mikko Berggren

    2013-01-01

    We provide a brief description of our Python-DTU system, including the overall design, the tools and the algorithms that we used in the Multi-Agent Programming Contest 2012, where the scenario was called Agents on Mars like in 2011. Our solution is an improvement of our Python-DTU system from last...

  7. Implementing a Multi-Agent System in Python

    DEFF Research Database (Denmark)

    Ettienne, Mikko Berggren; Vester, Steen; Villadsen, Jørgen

    2012-01-01

    We describe the solution used by the Python-DTU team in the Multi-Agent Programming Contest 2011, where the scenario was called Agents on Mars. We present our auction-based agreement, area controlling and pathfinding algorithms and discuss our chosen strategy and our choice of technology used...

  8. Collaboration of Metaheuristic Algorithms through a Multi-Agent System

    Science.gov (United States)

    Malek, Richard

    This paper introduces a framework based on multi-agent system for solving problems of combinatorial optimization. The framework allows running various metaheuristic algorithms simultaneously. By the collaboration of various metaheuristics, we can achieve better results in more classes of problems.

  9. Sarymsakov matrices and coordination tasks for multi-agent systems

    NARCIS (Netherlands)

    Xia, Weiguo; Cao, Ming

    2012-01-01

    The convergence of products of stochastic matrices has proven to be critical in establishing the effectiveness of distributed coordination algorithms for multi-agent systems. After reviewing some classic and recent results on infinite backward products of stochastic matrices, we provide a new

  10. Implementing a Multi-Agent System in Python

    DEFF Research Database (Denmark)

    Ettienne, Mikko Berggren; Vester, Steen; Villadsen, Jørgen

    2012-01-01

    We describe the solution used by the Python-DTU team in the Multi-Agent Programming Contest 2011, where the scenario was called Agents on Mars. We present our auction-based agreement, area controlling and pathfinding algorithms and discuss our chosen strategy and our choice of technology used...

  11. Multi-agent plan-execution health repair

    NARCIS (Netherlands)

    Jonge, Femke de; Roos, Nico; Herik, Jaap van den

    2006-01-01

    This paper presents a protocol for plan health repair in multi-agent plan execution. Plan health repair aims at avoiding conflicts that might arise due to disruptions in the execution of a plan. This can be achieved by adjusting the executions of tasks instead of replanning the tasks. For this

  12. A Plan Fusion Algorithm for Multi-Agent Systems

    NARCIS (Netherlands)

    De Weerdt, M.M.; Bos, A.; Tonino, J.F.M.; Witteveen, C.

    2000-01-01

    We introduce an algorithm for cooperative planning in multi-agent systems. The algorithm enables the agents to combine (fuse) their plans in order to increase their joint profits. A computational resources and skills framework is developed for representing the planned activities of an agent under ti

  13. Stimulate Engagement and Motivation in MOOCs Using an Ontologies Based Multi-Agents System

    Directory of Open Access Journals (Sweden)

    Abderrahim El Mhouti

    2016-04-01

    Full Text Available Today, Massive Open Online Courses (MOOCs have the potential to enable free online education on an enormous scale. However, a concern often raised about MOOCs is the consistently high drop-out rate of MOOC learners. Although many thousands of learners enroll on these courses, a very small proportion actually complete the course. This work is at the heart of this issue. It is interested in contributing on multi-agents systems and ontologies to describe the learning preferences and adapt educational resources to learner profile in MOOCs platforms. The primary aim of this work is to exploit the potential of multi-agents systems and ontologies to improve learners' engagement and motivation in MOOCs platforms and therefore reduce the drop-out rates. As part of the contribution of this work, the paper proposes a model of Multi-Agent System (MAS, based on ontologies for adapting the learning resources proposed to a learner in a MOOCs platform according to his learning preferences. To model an adequate online course, the determination of learner's preferences is done through the analysis of learner behavior relying on his indicator MBTI (Myers Briggs Type Indicator. The proposed model integrates the main functionalities of an intelligent tutoring system: profiling, updating of the profile, selection, adaptation and presentation of adequate resources. The architecture of the proposed system is composed on two main agents, four ontologies and a set of modules implemented.

  14. Cooperative Semi-Global Output Regulation of Nonlinear Strict-Feedback Multi-Agent Systems With Nonidentical Relative Degrees.

    Science.gov (United States)

    Su, Youfeng

    2016-03-03

    In this paper, we study the cooperative semi-global output regulation problem for a class of nonlinear strict-feedback multi-agent systems, where the subsystems are assumed to have nonidentical relative degrees. We first introduce the so-called distributed internal model that converts our problem into the cooperative semi-global stabilization problem of the corresponding augmented system composed of the original multi-agent system and the internal model. We then put this augmented system into the general block lower triangular form, and develop the block semi-global backstepping technique to stabilize it. Comparing with some existing literatures, our design has removed the identical relative degree assumption, and hence applies to a much larger group of nonlinear multi-agent systems.

  15. A multi-agent based intelligent configuration method for aircraft fleet maintenance personnel

    Directory of Open Access Journals (Sweden)

    Feng Qiang

    2014-04-01

    Full Text Available A multi-agent based fleet maintenance personnel configuration method is proposed to solve the mission oriented aircraft fleet maintenance personnel configuration problem. The maintenance process of an aircraft fleet is analyzed first. In the process each aircraft contains multiple parts, and different parts are repaired by personnel with different majors and levels. The factors and their relationship involved in the process of maintenance are analyzed and discussed. Then the whole maintenance process is described as a 3-layer multi-agent system (MAS model. A communication and reasoning strategy among the agents is put forward. A fleet maintenance personnel configuration algorithm is proposed based on contract net protocol (CNP. Finally, a fleet of 10 aircraft is studied for verification purposes. A mission type with 3 waves of continuous dispatch is imaged. Compared with the traditional methods that can just provide configuration results, the proposed method can provide optimal maintenance strategies as well.

  16. A Supply Chain Architecture Based on Multi-agent Systems to Support Decentralized Collaborative Processes

    Science.gov (United States)

    Hernández, Jorge E.; Poler, Raúl; Mula, Josefa

    In a supply chain management context, the enterprise architecture concept to efficiently support the collaborative processes among the supply chain members involved has been evolving. Each supply chain has an organizational structure that describes the hierarchical relationships among its members, ranging from centralized to decentralized organizations. From a decentralized perspective, each supply chain member is able to identify collaborative and non collaborative partners and the kind of information to be exchanged to support negotiation processes. The same concepts of organizational structure and negotiation rules can be applied to a multi-agent system. This paper proposes a novel supply chain architecture to support decentralized collaborative processes in supply chains by considering a multi-agent-based system modeling approach.

  17. A Novel Secondary Control for Microgrid Based on Synergetic Control of Multi-Agent System

    Directory of Open Access Journals (Sweden)

    Zhiwen Yu

    2016-03-01

    Full Text Available In power systems, the secondary control is a very useful way to restore the system frequency and voltage to the rated value. This paper tries to propose a secondary frequency and voltage control of islanded microgrids based on the distributed synergetic control of multi-agent systems. In the proposed control, since each distributed generation only requires its own information and that of the neighbors, the secondary control is fully distributed. The system is more reliable because the central controller and complex communication network are reduced in the distributed structure. Based on multi-agent systems, the dynamic model is established, and distributed synergetic control algorithms are given to design the secondary control of the islanded microgrid. Meanwhile, the system has globally asymptotic stability under the proposed control, which is proved by the direct Lyapunov method. Simulation results about a test microgrid are given to verify the effectiveness of the proposed control.

  18. Consensus pursuit of heterogeneous multi-agent systems under a directed acyclic graph

    Institute of Scientific and Technical Information of China (English)

    Yan Jing; Guan Xin-Ping; Luo Xiao-Yuan

    2011-01-01

    This paper is concerned with the cooperative target pursuit problem by multiple agents based on directed acyclic graph. The target appears at a random location and moves only when sensed by the agents, and agents will pursue the target once they detect its existence. Since the ability of each agent may be different, we consider the heterogeneous multi-agent systems.According to the topology of the multi-agent systems, a novel consensus-based control law is proposed, where the target and agents are modeled as a leader and followers, respectively. Based on Mason's rule and signal flow graph analysis, the convergence conditions are provided to show that the agents can catch the target in a finite time. Finally, simulation studies are provided to verify the effectiveness of the proposed approach.

  19. A Hybrid System based on Multi-Agent System in the Data Preprocessing Stage

    CERN Document Server

    Kularbphettong, Kobkul; Meesad, Phayung

    2010-01-01

    We describe the usage of the Multi-agent system in the data preprocessing stage of an on-going project, called e-Wedding. The aim of this project is to utilize MAS and various approaches, like Web services, Ontology, and Data mining techniques, in e-Business that want to improve responsiveness and efficiency of systems so as to extract customer behavior model on Wedding Businesses. However, in this paper, we propose and implement the multi-agent-system, based on JADE, to only cope data preprocessing stage specified on handle with missing value techniques. JADE is quite easy to learn and use. Moreover, it supports many agent approaches such as agent communication, protocol, behavior and ontology. This framework has been experimented and evaluated in the realization of a simple, but realistic. The results, though still preliminary, are quite.

  20. Robust Consensus of Multi-Agent Systems with Uncertain Exogenous Disturbances

    Institute of Scientific and Technical Information of China (English)

    杨洪勇; 郭雷; 韩潮

    2011-01-01

    The objective of this paper is to investigate the consensus of the multi-agent systems w/th nonlinear coupling function and external disturbances. The disturbance includes two parts, one part is supposed to be generated by an exogenous system, which is not required to be neutrally stable as in the output regulation theory, the other part is the modeling uncertainty in the exogenous disturbance system. A novel composite disturbance observer based control (DOBC) and H∞ control scheme is presented so that the disturbance with the exogenous system can be estimated and compensated and the consensus of the multi-agent systems with fixed and switching graph can be reached by using Hoo control law. Simulations demonstrate the advantages of the proposed DOBC and H∞ control scheme.

  1. A Framework for Multi-Agent Planning

    NARCIS (Netherlands)

    Bos, A.; Tonino, J.F.M.; De Weerdt, M.M.; Witteveen, C.

    2000-01-01

    We introduce a computational framework, consisting of resources, skills, goals and services to represent the plans of individual agents and to develop models and algorithms for cooperation processes between a collection of agents.

  2. Adjustably Autonomous Multi-agent Plan Execution with an Internal Spacecraft Free-Flying Robot Prototype

    Science.gov (United States)

    Dorais, Gregory A.; Nicewarner, Keith

    2006-01-01

    We present an multi-agent model-based autonomy architecture with monitoring, planning, diagnosis, and execution elements. We discuss an internal spacecraft free-flying robot prototype controlled by an implementation of this architecture and a ground test facility used for development. In addition, we discuss a simplified environment control life support system for the spacecraft domain also controlled by an implementation of this architecture. We discuss adjustable autonomy and how it applies to this architecture. We describe an interface that provides the user situation awareness of both autonomous systems and enables the user to dynamically edit the plans prior to and during execution as well as control these agents at various levels of autonomy. This interface also permits the agents to query the user or request the user to perform tasks to help achieve the commanded goals. We conclude by describing a scenario where these two agents and a human interact to cooperatively detect, diagnose and recover from a simulated spacecraft fault.

  3. 9th KES Conference on Agent and Multi-Agent Systems : Technologies and Applications

    CERN Document Server

    Howlett, Robert; Jain, Lakhmi

    2015-01-01

    Agents and multi-agent systems are related to a modern software paradigm which has long been recognized as a promising technology for constructing autonomous, complex and intelligent systems. The topics covered in this volume include agent-oriented software engineering, agent co-operation, co-ordination, negotiation, organization and communication, distributed problem solving, specification of agent communication languages, agent privacy, safety and security, formalization of ontologies and conversational agents. The volume highlights new trends and challenges in agent and multi-agent research and includes 38 papers classified in the following specific topics: learning paradigms, agent-based modeling and simulation, business model innovation and disruptive technologies, anthropic-oriented computing, serious games and business intelligence, design and implementation of intelligent agents and multi-agent systems, digital economy, and advances in networked virtual enterprises. Published p...

  4. Object Oriented Intelligent Multi-Agent System Data Cleaning Architecture To Clean Email Data

    Directory of Open Access Journals (Sweden)

    Dr. G. Arumugam,

    2010-11-01

    Full Text Available Agents are software programs that perform tasks on behalf of others and they can be used to mine data with their characteristics. Agents are task oriented with the ability to learn by themselves and they react to the situation. Learning characteristics of an agent is done by verifying its previous experience from its knowledgebase. An agent concept is a complementary approach to the Object Oriented paradigm with respect to the design and implementation of autonomous entities driven by beliefs, goals and plans. Email is one of the common means for communication via text. Email cleaning problem is formalized as non-text filtering and text normalization in a two step process. Agents incorporated in the architectural design of an Email data cleaning process combines both the features of Multi-Agent System (MAS Framework and MAS with learning (MASL Framework. MAS framework reduces the development time and the complexity of implementing thesoftware agents. The MAS-L framework incorporates the intelligence and learning properties of software agents. MAS-L Framework makes use of the Decision Tree learning and an evaluation function to decide thenext best decision that applies to the machine learning technique. This paper proposes the design for Multi- Agent based Data Cleaning Architecture that incorporates the structural design of agents into object model. The design of an architectural model for Multi-Agent based Data Cleaning inherits the features of the MAS and uses the MAS-L framework to design the intelligence and learning characteristics.

  5. A multi-agent brokerage platform for media content recommendation

    Directory of Open Access Journals (Sweden)

    Veloso Bruno

    2015-09-01

    Full Text Available Near real time media content personalisation is nowadays a major challenge involving media content sources, distributors and viewers. This paper describes an approach to seamless recommendation, negotiation and transaction of personalised media content. It adopts an integrated view of the problem by proposing, on the business-to-business (B2B side, a brokerage platform to negotiate the media items on behalf of the media content distributors and sources, providing viewers, on the business-to-consumer (B2C side, with a personalised electronic programme guide (EPG containing the set of recommended items after negotiation. In this setup, when a viewer connects, the distributor looks up and invites sources to negotiate the contents of the viewer personal EPG. The proposed multi-agent brokerage platform is structured in four layers, modelling the registration, service agreement, partner lookup, invitation as well as item recommendation, negotiation and transaction stages of the B2B processes. The recommendation service is a rule-based switch hybrid filter, including six collaborative and two content-based filters. The rule-based system selects, at runtime, the filter(s to apply as well as the final set of recommendations to present. The filter selection is based on the data available, ranging from the history of items watched to the ratings and/or tags assigned to the items by the viewer. Additionally, this module implements (i a novel item stereotype to represent newly arrived items, (ii a standard user stereotype for new users, (iii a novel passive user tag cloud stereotype for socially passive users, and (iv a new content-based filter named the collinearity and proximity similarity (CPS. At the end of the paper, we present off-line results and a case study describing how the recommendation service works. The proposed system provides, to our knowledge, an excellent holistic solution to the problem of recommending multimedia contents.

  6. Agendas for Multi-Agent Learning

    Science.gov (United States)

    2006-12-01

    for our agents to learn to achieve high rewards. 2 Unfortunately, the current state of the art for testing whether we have done a good job is to hand...our model to some learning agents and see how much reward they can earn. This sort of test isn’t a good way to draw general con- clusions: if the... Barany . Fair distribution protocols or how the players replace fortune. Mathematics of Operations Research, 17(2):327–340, 1992. [32] Yevgeniy Dodis

  7. Multi-Agent Simulation and Management Practices

    CERN Document Server

    Siebers, Peer-Olaf; Celia, Helen; Clegg, Chris

    2010-01-01

    Intelligent agents offer a new and exciting way of understanding the world of work. Agent-Based Simulation (ABS), one way of using intelligent agents, carries great potential for progressing our understanding of management practices and how they link to retail performance. We have developed simulation models based on research by a multi-disciplinary team of economists, work psychologists and computer scientists. We will discuss our experiences of implementing these concepts working with a well-known retail department store. There is no doubt that management practices are linked to the performance of an organisation (Reynolds et al., 2005; Wall & Wood, 2005). Best practices have been developed, but when it comes down to the actual application of these guidelines considerable ambiguity remains regarding their effectiveness within particular contexts (Siebers et al., forthcoming a). Most Operational Research (OR) methods can only be used as analysis tools once management practices have been implemented. Ofte...

  8. Automation of multi-agent control for complex dynamic systems in heterogeneous computational network

    Science.gov (United States)

    Oparin, Gennady; Feoktistov, Alexander; Bogdanova, Vera; Sidorov, Ivan

    2017-01-01

    The rapid progress of high-performance computing entails new challenges related to solving large scientific problems for various subject domains in a heterogeneous distributed computing environment (e.g., a network, Grid system, or Cloud infrastructure). The specialists in the field of parallel and distributed computing give the special attention to a scalability of applications for problem solving. An effective management of the scalable application in the heterogeneous distributed computing environment is still a non-trivial issue. Control systems that operate in networks, especially relate to this issue. We propose a new approach to the multi-agent management for the scalable applications in the heterogeneous computational network. The fundamentals of our approach are the integrated use of conceptual programming, simulation modeling, network monitoring, multi-agent management, and service-oriented programming. We developed a special framework for an automation of the problem solving. Advantages of the proposed approach are demonstrated on the parametric synthesis example of the static linear regulator for complex dynamic systems. Benefits of the scalable application for solving this problem include automation of the multi-agent control for the systems in a parallel mode with various degrees of its detailed elaboration.

  9. MATRIX-AGENT FRAMEWORK:A VIRTUAL PLATFORM FOR MULTI-AGENTS

    Institute of Scientific and Technical Information of China (English)

    Hao Lan ZHANG; Clement H.C. LEUNG; Gitesh K. RAIKUNDALIA

    2006-01-01

    Multi-agent technology has been applied extensively to many areas, including Decision Support Systems (DSS). However, the applications of multi-agent technology in DSS are still very preliminary.Most of the current agent frameworks, such as middle-agent-based or agent-facilitator-based frameworks, are basically agent-to-agent model. These agent-based frameworks often neglect the living environment for agents and they suffer from: (i) inability to adapt to the environment, (ii)inability to self-upgrade, and (iii) inefficiency in information acquisition. Here, we introduce a recently proposed multi-agent framework, namely Agent-based Open Connectivity for Decision Support Systems (AOCD). In this new framework, the communication and cooperation between agents are through a key component, the Matrix, which provides a virtual platform for agents. We use a unified Matrices framework to solve the bottleneck problem in the AOCD framework. Our experimental results based on different agent network topologies indicate that the hybrid topology presents superior performance compared with the centralised and decentralised topologies.

  10. The Behaviors Decision of Agent in Multi-agent System%多agent系统中agent的行为决策

    Institute of Scientific and Technical Information of China (English)

    毛新军; 王怀民; 楚蓓蓓; 王逸欣

    2003-01-01

    The behavior decision of agent in multi-agent system is dependent on the task of individual agent ,the cooperation with other agents,and the multi-agent system' constraints. The paper presents three abstract concept models of achievement intention,joint intention and maintenance intention representing the factors that affect agent's behaviors respectively,to investigate autonomous agent's behaviors decision in support of agent-oriented software development. The paper discusses and analyzes how they will affect agent's behavior decision and the relationship among them,defines their formal and rigorous semantics,finally specifies and proves a number of important properties.

  11. A Multi-Agent-Based Intelligent Sensor and Actuator Network Design for Smart House and Home Automation

    Directory of Open Access Journals (Sweden)

    Fei Hu

    2013-08-01

    Full Text Available The smart-house technology aims to increase home automation and security with reduced energy consumption. A smart house consists of various intelligent sensors and actuators operating on different platforms with conflicting objectives. This paper proposes a multi-agent system (MAS design framework to achieve smart house automation. The novelties of this work include the developments of (1 belief, desire and intention (BDI agent behavior models; (2 a regulation policy-based multi-agent collaboration mechanism; and (3 a set of metrics for MAS performance evaluation. Simulations of case studies are performed using the Java Agent Development Environment (JADE to demonstrate the advantages of the proposed method.

  12. Multi-agent systems design for aerospace applications

    Science.gov (United States)

    Waslander, Steven L.

    2007-12-01

    and search and rescue. To enable these high-level applications, multi-vehicle collision avoidance is solved using a cooperative, decentralized algorithm. For the development of coordination algorithms for autonomous vehicles, the Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC) is presented. This testbed provides significant advantages over other aerial testbeds due to its small size and low maintenance requirements.

  13. Cooperative epistemic multi-agent planning for implicit coordination

    DEFF Research Database (Denmark)

    Engesser, Thorsten; Bolander, Thomas; Mattmüller, Robert

    2017-01-01

    Epistemic planning can be used for decision making in multi-agent situations with distributed knowledge and capabilities. Recently, Dynamic Epistemic Logic (DEL) has been shown to provide a very natural and expressive framework for epistemic planning. We extend the DEL-based epistemic planning...... framework to include perspective shifts, allowing us to define new notions of sequential and conditional planning with implicit coordination. With these, it is possible to solve planning tasks with joint goals in a decentralized manner without the agents having to negotiate about and commit to a joint...... policy at plan time. First we define the central planning notions and sketch the implementation of a planning system built on those notions. Afterwards we provide some case studies in order to evaluate the planner empirically and to show that the concept is useful for multi-agent systems in practice....

  14. Multi Agent Systems with Symbiotic Learning and Evolution using GNP

    Science.gov (United States)

    Eguchi, Toru; Hirasawa, Kotaro; Hu, Jinglu; Murata, Junichi

    Recently, various attempts relevant to Multi Agent Systems (MAS) which is one of the most promising systems based on Distributed Artificial Intelligence have been studied to control large and complicated systems efficiently. In these trends of MAS, Multi Agent Systems with Symbiotic Learning and Evolution named Masbiole has been proposed. In Masbiole, symbiotic phenomena among creatures are considered in the process of learning and evolution of MAS. So we can expect more flexible and sophisticated solutions than conventional MAS. In this paper, we apply Masbiole to Iterative Prisoner’s Dilemma Games (IPD Games) using Genetic Network Programming (GNP) which is a newly developed evolutionary computation method for constituting agents. Some characteristics of Masbiole using GNP in IPD Games are clarified.

  15. Specialization in multi-agent systems through learning.

    Science.gov (United States)

    Murciano, A; Millán, J R; Zamora, J

    1997-05-01

    Specialization is a common feature in animal societies that leads to an improvement in the fitness of the team members and to an increase in the resources obtained by the team. In this paper we propose a simple reinforcement learning approach to specialization in an artificial multi-agent system. The system is composed of homogeneous and non-communicating agents. Because there is no communication, the number of agents in the team can easily scale up. Agents have the same initial functionalities, but they learn to specialize and so cooperate to achieve a complex gathering task efficiently. Simulation experiments show how the multi-agent system specializes appropriately so as to reach optimal (or near-to-optimal) performance in unknown and changing environments.

  16. A Multi-Agent Approach for Solving Traveling Salesman Problem

    Institute of Scientific and Technical Information of China (English)

    ZHOU Tiejun; TAN Yihong; XING Lining

    2006-01-01

    The traveling salesman problem (TSP) is a classical optimization problem and it is one of a class of NP-Problem. This paper presents a new method named multi-agent approach based genetic algorithm and ant colony system to solve the TSP. Three kinds of agents with different function were designed in the multi-agent architecture proposed by this paper. The first kind of agent is ant colony optimization agent and its function is generating the new solution continuously. The second kind of agent is selection agent, crossover agent and mutation agent, their function is optimizing the current solutions group. The third kind of agent is fast local searching agent and its function is optimizing the best solution from the beginning of the trial. At the end of this paper, the experimental results have shown that the proposed hybrid approach has good performance with respect to the quality of solution and the speed of computation.

  17. Multi Agent System Based Wide Area Protection against Cascading Events

    DEFF Research Database (Denmark)

    Liu, Zhou; Chen, Zhe; Liu, Leo;

    2012-01-01

    In this paper, a multi-agent system based wide area protection scheme is proposed in order to prevent long term voltage instability induced cascading events. The distributed relays and controllers work as a device agent which not only executes the normal function automatically but also can...... the effectiveness of proposed protection strategy. The simulation results indicate that the proposed multi agent control system can effectively coordinate the distributed relays and controllers to prevent the long term voltage instability induced cascading events....... be modified to fulfill the extra function according to external requirements. The control center is designed as a highest level agent in MAS to coordinate all the lower agents to prevent the system wide voltage disturbance. A hybrid simulation platform with MATLAB and RTDS is set up to demonstrate...

  18. A new accelerating algorithm for multi-agent reinforcement learning

    Institute of Scientific and Technical Information of China (English)

    ZHANG Ru-bo; ZHONG Yu; GU Guo-chang

    2005-01-01

    In multi-agent systems, joint-action must be employed to achieve cooperation because the evaluation of the behavior of an agent often depends on the other agents' behaviors. However, joint-action reinforcement learning algorithms suffer the slow convergence rate because of the enormous learning space produced by jointaction. In this article, a prediction-based reinforcement learning algorithm is presented for multi-agent cooperation tasks, which demands all agents to learn predicting the probabilities of actions that other agents may execute. A multi-robot cooperation experiment is run to test the efficacy of the new algorithm, and the experiment results show that the new algorithm can achieve the cooperation policy much faster than the primitive reinforcement learning algorithm.

  19. Service orientation in holonic and multi agent manufacturing and robotics

    CERN Document Server

    Thomas, Andre; Trentesaux, Damien

    2013-01-01

    The book covers four research domains representing a trend for modern manufacturing control: Holonic and Multi-agent technologies for industrial systems; Intelligent Product and Product-driven Automation; Service Orientation of Enterprise’s strategic and technical processes; and Distributed Intelligent Automation Systems. These evolution lines have in common concepts related to service orientation derived from the Service Oriented Architecture (SOA) paradigm.     The service-oriented multi-agent systems approach discussed in the book is characterized by the use of a set of distributed autonomous and cooperative agents, embedded in smart components that use the SOA principles, being oriented by offer and request of services, in order to fulfil production systems and value chain goals.   A new integrated vision combining emergent technologies is offered, to create control structures with distributed intelligence supporting the vertical and horizontal enterprise integration and running in truly distributed ...

  20. EDM COLLABORATIVE MANUFACTURING SYSTEM BASED ON MULTI-AGENT TECHNIQUES

    Institute of Scientific and Technical Information of China (English)

    Zhao Wansheng; Zhao Jinzhi; Song Yinghui; Yang Xiaodong

    2003-01-01

    A framework for building EDM collaborative manufacturing system using multi-agent technology to support organizations characterized by physically distributed, enterprise-wide, heterogeneous intelligent manufacturing system over Internet is proposed. Expert system theory is introduced.Design, manufacturing and technological knowledge are shared using artificial intelligence and web techniques by EDM-CADagent, EDM-CAMagent and EDM-CAPPagent. System structure, design process, network conditions, realization methods and other key techniques are discussed. Instances are also introduced to testify feasibility.

  1. Negotiation and argumentation in multi-agent systems

    CERN Document Server

    Lopes, Fernando

    2014-01-01

    Multi-agent systems (MAS) composed of autonomous agents representing individuals or organizations and capable of reaching mutually beneficial agreements through negotiation and argumentation are becoming increasingly important and pervasive.Research on both automated negotiation and argumentation in MAS has a vigorous, exciting tradition. However, efforts to integrate both areas have received only selective attention in the academia and the practitioner literature. A symbiotic relationship could significantly strengthen each area's progress and trigger new R&D challenges and prospects toward t

  2. Biomorphic Multi-Agent Architecture for Persistent Computing

    Science.gov (United States)

    Lodding, Kenneth N.; Brewster, Paul

    2009-01-01

    A multi-agent software/hardware architecture, inspired by the multicellular nature of living organisms, has been proposed as the basis of design of a robust, reliable, persistent computing system. Just as a multicellular organism can adapt to changing environmental conditions and can survive despite the failure of individual cells, a multi-agent computing system, as envisioned, could adapt to changing hardware, software, and environmental conditions. In particular, the computing system could continue to function (perhaps at a reduced but still reasonable level of performance) if one or more component( s) of the system were to fail. One of the defining characteristics of a multicellular organism is unity of purpose. In biology, the purpose is survival of the organism. The purpose of the proposed multi-agent architecture is to provide a persistent computing environment in harsh conditions in which repair is difficult or impossible. A multi-agent, organism-like computing system would be a single entity built from agents or cells. Each agent or cell would be a discrete hardware processing unit that would include a data processor with local memory, an internal clock, and a suite of communication equipment capable of both local line-of-sight communications and global broadcast communications. Some cells, denoted specialist cells, could contain such additional hardware as sensors and emitters. Each cell would be independent in the sense that there would be no global clock, no global (shared) memory, no pre-assigned cell identifiers, no pre-defined network topology, and no centralized brain or control structure. Like each cell in a living organism, each agent or cell of the computing system would contain a full description of the system encoded as genes, but in this case, the genes would be components of a software genome.

  3. Research on Cognitive Cooperation in Multi-Agent Systems

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The accomplishment of a complex problem usually involves cooperation between participators with different knowledge background concerned. This paper identifies inter-dependency between different sub problems (through problem decomposition) as the major factor that influences cooperative relations in multi-Agent systems, based on which we propose an efficient means to measure cooperation coefficient (degree) between different Agents. Then cognitive cooperation between Agents is analyzed which aims at collecting the wisdom of the cognitive community for a systematic solution to the overall problem.

  4. Robot soccer simulation competition platform based on multi-agent

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Presents the robot soccer software simulation platform to be firstly used at FIRA Robot World Cup China 2001, introduces the system's purpose and design plan; discusses the system core-server configuration and working principle; describes the operating method and how to develop competition strategy, and refers to the teams to take part in FIRA Robot World Cup China 2001 and investigators who are interested in the distribu ted multi-agent system.

  5. Quicker Q-Learning in Multi-Agent Systems

    Science.gov (United States)

    Agogino, Adrian K.; Tumer, Kagan

    2005-01-01

    Multi-agent learning in Markov Decisions Problems is challenging because of the presence ot two credit assignment problems: 1) How to credit an action taken at time step t for rewards received at t' greater than t; and 2) How to credit an action taken by agent i considering the system reward is a function of the actions of all the agents. The first credit assignment problem is typically addressed with temporal difference methods such as Q-learning OK TD(lambda) The second credit assi,onment problem is typically addressed either by hand-crafting reward functions that assign proper credit to an agent, or by making certain independence assumptions about an agent's state-space and reward function. To address both credit assignment problems simultaneously, we propose the Q Updates with Immediate Counterfactual Rewards-learning (QUICR-learning) designed to improve both the convergence properties and performance of Q-learning in large multi-agent problems. Instead of assuming that an agent s value function can be made independent of other agents, this method suppresses the impact of other agents using counterfactual rewards. Results on multi-agent grid-world problems over multiple topologies show that QUICR-learning can achieve up to thirty fold improvements in performance over both conventional and local Q-learning in the largest tested systems.

  6. A Survey on Fault Tolerant Multi Agent System

    Directory of Open Access Journals (Sweden)

    Yasir Arfat

    2016-09-01

    Full Text Available A multi-agent system (MAS is formed by a number of agents connected together to achieve the desired goals specified by the design. Usually in a multi agent system, agents work on behalf of a user to accomplish given goals. In MAS co-ordination, co-operation, negotiation and communication are important aspects to achieve fault tolerance in MAS. The multi-agent system is likely to fail in a distributed environment and as an outcome of such, the resources for MAS may not be available due to the failure of an agent, machine crashes, process failure, software failure, communication failure and/or hardware failure. Therefore, many researchers have proposed fault tolerance approaches to overcome the failure in MAS. So we have surveyed these approaches in this paper, whereby our contribution is threefold. Firstly, we have provided taxonomy of faults and techniques in MAS. Secondly, we have provided a qualitative comparison of existing fault tolerance approaches. Thirdly, we have provided an evaluation of existing fault tolerance techniques. Results show that most of the existing schemes are not very efficient, due to various reasons like high computation costs, costly replication and large communication overheads.

  7. The MultiAgent Decision Process toolbox: Software for decision-theoretic planning in multiagent-systems

    NARCIS (Netherlands)

    Spaan, M.T.J.; Oliehoek, F.A.; Shen, J.; Varakantham, P.; Maheswaran, R.

    2008-01-01

    This paper introduces the MultiAgent Decision Process software toolbox, an open source C++ library for decision-theoretic planning under uncertainty in multiagent systems. It provides support for several multiagent models, such as POSGs, Dec-POMDPs and MMDPs. The toolbox aims to reduce development

  8. A Two-Stage Multi-Agent Based Assessment Approach to Enhance Students' Learning Motivation through Negotiated Skills Assessment

    Science.gov (United States)

    Chadli, Abdelhafid; Bendella, Fatima; Tranvouez, Erwan

    2015-01-01

    In this paper we present an Agent-based evaluation approach in a context of Multi-agent simulation learning systems. Our evaluation model is based on a two stage assessment approach: (1) a Distributed skill evaluation combining agents and fuzzy sets theory; and (2) a Negotiation based evaluation of students' performance during a training…

  9. Norm regulation in collaborative virtual environments by normative multi-agent systems

    NARCIS (Netherlands)

    Stam, Sven

    2011-01-01

    Different types of research have been done on multi-agent systems regarding normative systems. This research addresses the enforcement of norms by a multi-agent system. More specifically this thesis investigates the question whether or not it is possible for a normative multi-agent system to regulat

  10. Finite-time consensus for heterogeneous multi-agent systems with mixed-order agents

    Science.gov (United States)

    Sun, Fenglan; Zhu, Wei

    2015-08-01

    This paper studies the finite-time consensus for heterogeneous multi-agent systems composed of mixed-order agents over fixed and switching topologies. The control protocol of each agent using local information is designed and the detailed analysis of the finite-time consensus for fixed and switching interaction topologies is presented. The design of the finite-time consensus protocol is based on graph theory, matrix theory, and LaSalle's invariance principle. Both theoretical studies and simulation results show the effectiveness of the proposed method and the correctness of the obtained theoretical results.

  11. ROBUST CONSENSUS AND SOFT CONTROL OF MULTI-AGENT SYSTEMS WITH NOISES

    Institute of Scientific and Technical Information of China (English)

    Lin WANG; Lei GUO

    2008-01-01

    This paper considers the problem of robust consensus for a basic class of multi-agent systems with bounded disturbances and with directed information flow. A necessary and sufficient condition on the robust consensus is first presented, which is then applied to the analysis, control and decision making problems in the noise environments. In particular, the authors show how a soft control technique will synchronize a group of autonomous mobile agents without changing the existing local rule of interactions, and without assuming any kind of connectivity conditions on the system trajectories.

  12. Facilitating the Specification Capture and Transformation Process in the Development of Multi-Agent Systems

    Science.gov (United States)

    Filho, Aluzio Haendehen; Caminada, Numo; Haeusler, Edward Hermann; vonStaa, Arndt

    2004-01-01

    To support the development of flexible and reusable MAS, we have built a framework designated MAS-CF. MAS-CF is a component framework that implements a layered architecture based on contextual composition. Interaction rules, controlled by architecture mechanisms, ensure very low coupling, making possible the sharing of distributed services in a transparent, dynamic and independent way. These properties propitiate large-scale reuse, since organizational abstractions can be reused and propagated to all instances created from a framework. The objective is to reduce complexity and development time of multi-agent systems through the reuse of generic organizational abstractions.

  13. Simulating the conversion of rural settlements to town land based on multi-agent systems and cellular automata.

    Science.gov (United States)

    Liu, Yaolin; Kong, Xuesong; Liu, Yanfang; Chen, Yiyun

    2013-01-01

    Rapid urbanization in China has triggered the conversion of land from rural to urban use, particularly the conversion of rural settlements to town land. This conversion is the result of the joint effects of the geographic environment and agents involving the government, investors, and farmers. To understand the dynamic interaction dominated by agents and to predict the future landscape of town expansion, a small town land-planning model is proposed based on the integration of multi-agent systems (MAS) and cellular automata (CA). The MAS-CA model links the decision-making behaviors of agents with the neighbor effect of CA. The interaction rules are projected by analyzing the preference conflicts among agents. To better illustrate the effects of the geographic environment, neighborhood, and agent behavior, a comparative analysis between the CA and MAS-CA models in three different towns is presented, revealing interesting patterns in terms of quantity, spatial characteristics, and the coordinating process. The simulation of rural settlements conversion to town land through modeling agent decision and human-environment interaction is very useful for understanding the mechanisms of rural-urban land-use change in developing countries. This process can assist town planners in formulating appropriate development plans.

  14. Multi-agent robotic systems and applications for satellite missions

    Science.gov (United States)

    Nunes, Miguel A.

    A revolution in the space sector is happening. It is expected that in the next decade there will be more satellites launched than in the previous sixty years of space exploration. Major challenges are associated with this growth of space assets such as the autonomy and management of large groups of satellites, in particular with small satellites. There are two main objectives for this work. First, a flexible and distributed software architecture is presented to expand the possibilities of spacecraft autonomy and in particular autonomous motion in attitude and position. The approach taken is based on the concept of distributed software agents, also referred to as multi-agent robotic system. Agents are defined as software programs that are social, reactive and proactive to autonomously maximize the chances of achieving the set goals. Part of the work is to demonstrate that a multi-agent robotic system is a feasible approach for different problems of autonomy such as satellite attitude determination and control and autonomous rendezvous and docking. The second main objective is to develop a method to optimize multi-satellite configurations in space, also known as satellite constellations. This automated method generates new optimal mega-constellations designs for Earth observations and fast revisit times on large ground areas. The optimal satellite constellation can be used by researchers as the baseline for new missions. The first contribution of this work is the development of a new multi-agent robotic system for distributing the attitude determination and control subsystem for HiakaSat. The multi-agent robotic system is implemented and tested on the satellite hardware-in-the-loop testbed that simulates a representative space environment. The results show that the newly proposed system for this particular case achieves an equivalent control performance when compared to the monolithic implementation. In terms on computational efficiency it is found that the multi-agent

  15. Vehicle-based interactive management with multi-agent approach

    OpenAIRE

    Yee Ming Chen; Bo-Yuan Wang

    2009-01-01

    Under the energy crisis and global warming, mass transportation becomes more important than before. The disadvantages of mass transportation, plus the high flexibility and efficiency of taxi and with the revolution of technology, electric-taxi is the better transportation choice for metropolis. On the other hand, among the many taxi service types, dial-a-ride (DAR) service system is the better way for passenger and taxi. However the electricity replenishing of electric-taxi is ...

  16. A Multi-Agent Approach for the Extract-Transform-Load Process Support in Data Warehouses

    Directory of Open Access Journals (Sweden)

    Daniel Betancur-Calderón

    2012-06-01

    Full Text Available In order to provide an adequate solution in terms of robustness and automation in the process of Extract-Transform-Load (ETL in data warehouses, in this article a multi-agent model that gathers the strengths of other approaches like wrappers and ad-hoc solutions is presented. Such a model considers the heterogeneity and availability of the data sources as well as their distributed nature. For its validation an experiment was performed using simulated and real data, which demonstrated not only its technical feasibility but also its effectiveness in terms of the percentage of processed data and the time to accomplish it.

  17. Ant Colony Optimization In Multi-Agent Systems With NetLogo

    Directory of Open Access Journals (Sweden)

    Mustafa Tüker

    2013-02-01

    Full Text Available Multi-agent systems (MAS offer an effective way to model and solve complex optimization problems. In this study, MAS and ant colonies have been used together to solve the Travelling Salesmen Problem (TSP. System simulation has been realized with NetLogo which is an agent-based programming environment. It has been explained in detail with code examples that how to use NetLogo for modeling and simulation of the problem. Algorithm has been tested for different numbers of nodes and obtained results have been discussed.

  18. A Multi-Agent System for Exon Prediction in Human Sequences.

    Science.gov (United States)

    Vignal; Lisacek

    1997-01-01

    Given the problem of identifying exons in new genomic DNA, the sketch of a resolution process was drawn using sequence data and models of site/signal recognition. A multi-agent architecture is used to validate these models and test hypotheses on the chronology of events involved in gene splicing. Information is channelled through a hierarchy of agents. Each type of agent is the result of a successful step in the resolution process. The system does not rely on the compositional bias of coding sequences which is a key feature of current computer methods.

  19. Designing a multi-agent system for composition

    Directory of Open Access Journals (Sweden)

    K. Borna

    2014-10-01

    Full Text Available The main purpose of this paper is to design a collaborative multi-agent system for providing an XML output which is used in composition. Explaining the performance of rhythm and melody agents is the main part of the paper structure. In this research, systems analysis and design has been adopted as the methodology; and computational calculations have been used. An XML output that is a printable music note can be used by famous music software packages like Sibelius and Final. The novel method introduced in this paper is new and can help musicians make new music with better quality and more diverse content anywhere anytime.

  20. Teamwork in Multi-Agent Systems A Formal Approach

    CERN Document Server

    Dunin-Keplicz, Barbara Maria

    2010-01-01

    What makes teamwork tick?. Cooperation matters, in daily life and in complex applications. After all, many tasks need more than a single agent to be effectively performed. Therefore, teamwork rules!. Teams are social groups of agents dedicated to the fulfilment of particular persistent tasks. In modern multiagent environments, heterogeneous teams often consist of autonomous software agents, various types of robots and human beings. Teamwork in Multi-agent Systems: A Formal Approach explains teamwork rules in terms of agents' attitudes and their complex interplay. It provides the first comprehe

  1. A Multi-agent player for Settlers of Catan

    OpenAIRE

    2008-01-01

    There are many games that have been a challenge to Research in Artificial Intelligence. One such game is Settlers of Catan (SoC). The purpose of this thesis is to develop a Multi-agent player for SoC. Although it is difficult to focus on all the dimensions of the game during implementation, therefore a good enough solution is proposed. An emphasis is placed on building a good trader for the player. Once a working solution had been built, the player was tested against other players which inclu...

  2. Flocking of multi-agent systems with multiple groups

    Science.gov (United States)

    Jing, Gangshan; Zheng, Yuanshi; Wang, Long

    2014-12-01

    In this paper, we consider the flocking problem of multi-agent systems with multiple groups. First, some algorithms using local information are designed to divide the agents into any pre-assigned number of groups in fixed and switching heterogeneous networks, respectively. Based on algebraic graph theory and Barbalat's lemma, convergence criteria are established to ensure velocity alignment and cohesion of each subgroup as well as collision avoidance between any agents in the whole group. Second, an algorithm for homogeneous networks is studied. Simulation examples are finally presented to verify the effectiveness of our theoretical results.

  3. Distributed Information Fusion through Advanced Multi-Agent Control

    Science.gov (United States)

    2016-09-09

    AFRL-AFOSR-JP-TR-2016-0080 Distributed Information Fusion through Advanced Multi-Agent Control Adrian Bishop NATIONAL ICT AUSTRALIA LIMITED Final...a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ORGANIZATION. 1. REPORT DATE (DD-MM-YYYY)      17-10-2016 2. REPORT... Control 5a.  CONTRACT NUMBER 5b.  GRANT NUMBER FA2386-14-1-4042 5c.  PROGRAM ELEMENT NUMBER 61102F 6. AUTHOR(S) Adrian Bishop 5d.  PROJECT NUMBER 5e

  4. Research of Multi-Agent System based satellite fault diagnosis technology

    Institute of Scientific and Technical Information of China (English)

    范显峰; 姜兴渭; 黄文虎; 谷吉海

    2002-01-01

    Following the theory of Multi-Agent System (MAS) and using series-wound structure and shunt-wound structure of Agents, the performance of Agent was improved to satisfy the need of satellite fault diagno-sis, and a tridimensional MAS model of satellite fault diagnosis was thus established for the MAS based planardiagnosis system, which decentralizes the whole diagnosing task into subtasks to be performed by different func-tional Agents to make the complicated fault diagnosis very simple and the diagnosis system more intelligent.This method improved the reliability and accuracy of diagnosis and made the maintenance and upgrading of thesatellite fault diagnosis system very easy as well.

  5. Agricultural Supply Chain Traceability System Based on Multi-Agent System

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    In order to overcome defects in existing ASCTS(Agricultural Supply Chain Traceability System,a new traceability system based on Multi-Agent System(MAS) is put forward.By qualitative method,I analyze problems of application of Agent technology in tracing quality of agricultural products.Physical model is built for this system and structure of traceability system is determined.Finally,algorithm is presented for major entities.From analysis of algorithm,it is proved that this system has some reference value in improving breadth and depth of product traceability.

  6. Multi-agent automated negotiation for management of services in smart cities

    OpenAIRE

    Di Nocera, Dario

    2015-01-01

    The objective of this PhD thesis is the study, the design and the prototype implementation of an agent-based automated negotiation mechanism to support the development of smart Service Based Applications having as a reference scenario the smart cities of the future intended as a realistic market of services. this research shows that the use of the multi-agent paradigm and of automated negotiation for Service Based Applications in the context of Smart Cities is a approach that: allows to model...

  7. 多Agent系统中基于信任度评估模型的自动信任协商%The Automated Trust Negotiation Based on Trust Model in Multi-Agent Sysetm

    Institute of Scientific and Technical Information of China (English)

    黄志艳

    2012-01-01

    In dynamic and distributed system, interaction between agents is uncertainty, and the security plays an important role. Based on the traditional automated trust negotiation, takes subjective trust into account and develops the framework of trust model based automated trust negotiation. It presents the main components in the framework and their functions in details, emphasizes on the trust representation in access control policy and the negotiation processes of different negoti- ation strategies based on trust model. It presents trust model-based eager strategy and trust model-based parsimonious strategy. Also, gives the negotiation processes of these strategies. And applies an application instance to show the negotiation process of trust model-based eager strategy.%在动态开放的系统中.由于Agent间交互存在着不确定性,安全成为一个重要问题。在现有的自动信任协商的基础上.考虑主观信任的作用.提出基于信任度评估模型的自动信任协商框架.详细介绍框架中的主要成分及其功能.着重讨论基于信任度评估模型的访问控制,以及在信任度评估模型基础上的两种协商对策:基于信任度评估模型的积极对策和基于信任度评估模型的谨慎对策。分别详细介绍采取上述两种对策的协商过程.并结合一应用实例说明基于信任度评估模型的积极对策的协商过程。

  8. Safety Attention Attenuation Model Based on Multi-agents Modeling%基于多主体建模的安全注意力衰减模型研究

    Institute of Scientific and Technical Information of China (English)

    李乃文; 韩峥

    2012-01-01

    为预防由安全注意力衰减引起的虚假安全问题,构建员工安全注意力衰减模型.采用多主体建模法并基于Netlogo仿真平台,分析个体因素、管理因素和环境因素对员工安全注意力水平的影响.试验结果表明:在环境因素和管理因素确定的情况下,员工安全注意力水平主要受熟悉程度和安全意识的影响.同时员工安全注意力水平对管理者的危机意识有反馈作用.安全信号强度、频率、员工对安全信息的期待和任务难度以及管理者的监督有效性,均影响员工安全注意力水平.在企业安全管理的具体实施过程中,企业应该考虑如何有效控制上述调节因素并提高员工安全注意力水平.%In order to prevent false security caused by safety attention attenuation, a system simulation model of employee safety attention attenuation was built based on Netlogo. The influences of individual factor, management factor and environment factor on the level of employee safety attention were analyzed. The experiment results show that in the case that environmental factors and managemeat factors are kept constant, the level of employee safety attention is mainly affected by the impact of the work experience and safety awareness, that employee safety attention level has feedback effect on the crisis sense of managers, and that safety signal intensity, frequency, employees' expectation level of security information, task difficulty as well as the effectiveness of the supervision of managers also affect employee safety attention level in a varying degree. In the specific implementation of enterprise security management process, enterprises should pay attention to the control of adjustment factors mentioned above and improvement of the employee safety attention level.

  9. Randomized Optimal Consensus of Multi-agent Systems

    CERN Document Server

    Shi, Guodong

    2011-01-01

    In this paper, we formulate and solve a randomized optimal consensus problem for multi-agent systems with stochastically time-varying interconnection topology. The considered multi-agent system with a simple randomized iterating rule achieves an almost sure consensus meanwhile solving the optimization problem $\\min_{z\\in \\mathds{R}^d}\\ \\sum_{i=1}^n f_i(z),$ in which the optimal solution set of objective function $f_i$ corresponding to agent $i$ can only be observed by agent $i$ itself. At each time step, each agent independently and randomly chooses either taking an average among its neighbor set, or projecting onto the optimal solution set of its own optimization component. Both directed and bidirectional communication graphs are studied. Connectivity conditions are proposed to guarantee an optimal consensus almost surely with proper convexity and intersection assumptions. The convergence analysis is carried out using convex analysis. The results illustrate that a group of autonomous agents can reach an opti...

  10. QUICR-learning for Multi-Agent Coordination

    Science.gov (United States)

    Agogino, Adrian K.; Tumer, Kagan

    2006-01-01

    Coordinating multiple agents that need to perform a sequence of actions to maximize a system level reward requires solving two distinct credit assignment problems. First, credit must be assigned for an action taken at time step t that results in a reward at time step t > t. Second, credit must be assigned for the contribution of agent i to the overall system performance. The first credit assignment problem is typically addressed with temporal difference methods such as Q-learning. The second credit assignment problem is typically addressed by creating custom reward functions. To address both credit assignment problems simultaneously, we propose the "Q Updates with Immediate Counterfactual Rewards-learning" (QUICR-learning) designed to improve both the convergence properties and performance of Q-learning in large multi-agent problems. QUICR-learning is based on previous work on single-time-step counterfactual rewards described by the collectives framework. Results on a traffic congestion problem shows that QUICR-learning is significantly better than a Q-learner using collectives-based (single-time-step counterfactual) rewards. In addition QUICR-learning provides significant gains over conventional and local Q-learning. Additional results on a multi-agent grid-world problem show that the improvements due to QUICR-learning are not domain specific and can provide up to a ten fold increase in performance over existing methods.

  11. A MULTI-AGENT LOCAL-LEARNING ALGORITHM UNDER GROUP ENVIROMENT

    Institute of Scientific and Technical Information of China (English)

    Jiang Daoping; Yin Yixin; Ban Xiaojuan; Meng Xiangsong

    2009-01-01

    In this paper, a local-learning algorithm for multi-agent is presented based on the fact that individual agent performs local perception and local interaction under group environment. As for individual-learning, agent adopts greedy strategy to maximize its reward when interacting with environment. In group-learning, local interaction takes place between each two agents. A local-learning algorithm to choose and modify agents' actions is proposed to improve the traditional learning algorithm, respectively in the situations of zero-sum games and general-sum games with unique equilibrium or multi-equilibrium. And this local-learning algorithm is proved to be convergent and the computation complexity is lower than the NashAdditionally, through grid-game test, it is indicated that by using this local-learning algorithm, the local behaviors of agents can spread to globe.

  12. Research on Marketing Cooperation System Based on Multi-Agent Services Aggregation Driven by Requirement

    Directory of Open Access Journals (Sweden)

    Hong ZHOU

    2010-11-01

    Full Text Available The web service has great significance and value since it represents a large industrial sector and huge trade interests, but the function of a single web service is too small to satisfy the need of service requestor, so it is necessary to combine a mount of simple services to satisfy the complex and dynamic requirement in practice, then the problem of web services composition is one of the research hotspot. This paper generalized the primary interaction processes between enterprise and customer in marketing, encapsulated the special function for marketing works as the agent, and considered the marketing as the cooperation process of agents focusing on requirements, and based on that a multi-agent based marketing cooperation system (MAMCS is established and the agent ontology is designed according to JADE, finally the negotiation mechanism is built. The method of multi-agent services aggregation driven by requirement supposed in this paper can improve the utilizing effect of service, reduce the difficulty of services composition, and realize the automatic purpose of services composition. Moreover, by combining the merits of agent technique the initiation and intelligence of the services are improved, that safeguard the best interests of the service providers due to they have an option on requirements.

  13. Consensus for second-order multi-agent systems with position sampled data

    Science.gov (United States)

    Wang, Rusheng; Gao, Lixin; Chen, Wenhai; Dai, Dameng

    2016-10-01

    In this paper, the consensus problem with position sampled data for second-order multi-agent systems is investigated. The interaction topology among the agents is depicted by a directed graph. The full-order and reduced-order observers with position sampled data are proposed, by which two kinds of sampled data-based consensus protocols are constructed. With the provided sampled protocols, the consensus convergence analysis of a continuous-time multi-agent system is equivalently transformed into that of a discrete-time system. Then, by using matrix theory and a sampled control analysis method, some sufficient and necessary consensus conditions based on the coupling parameters, spectrum of the Laplacian matrix and sampling period are obtained. While the sampling period tends to zero, our established necessary and sufficient conditions are degenerated to the continuous-time protocol case, which are consistent with the existing result for the continuous-time case. Finally, the effectiveness of our established results is illustrated by a simple simulation example. Project supported by the Natural Science Foundation of Zhejiang Province, China (Grant No. LY13F030005) and the National Natural Science Foundation of China (Grant No. 61501331).

  14. A Multi-Agent Approach to the Simulation of Robotized Manufacturing Systems

    Science.gov (United States)

    Foit, K.; Gwiazda, A.; Banaś, W.

    2016-08-01

    The recent years of eventful industry development, brought many competing products, addressed to the same market segment. The shortening of a development cycle became a necessity if the company would like to be competitive. Because of switching to the Intelligent Manufacturing model the industry search for new scheduling algorithms, while the traditional ones do not meet the current requirements. The agent-based approach has been considered by many researchers as an important way of evolution of modern manufacturing systems. Due to the properties of the multi-agent systems, this methodology is very helpful during creation of the model of production system, allowing depicting both processing and informational part. The complexity of such approach makes the analysis impossible without the computer assistance. Computer simulation still uses a mathematical model to recreate a real situation, but nowadays the 2D or 3D virtual environments or even virtual reality have been used for realistic illustration of the considered systems. This paper will focus on robotized manufacturing system and will present the one of possible approaches to the simulation of such systems. The selection of multi-agent approach is motivated by the flexibility of this solution that offers the modularity, robustness and autonomy.

  15. Construction on model of emotional stability for miners based on multi-agent%基于 Multi-agent 的矿工情绪稳定性模型构建

    Institute of Scientific and Technical Information of China (English)

    李乃文; 郭利霞

    2014-01-01

    In order to solve the problem about unsafe behaviors of miners caused by lower level of emotional stabili-ty, according to the theory of complexity adaptive system (CAS) and the method of agent based modeling and simu-lation, an enhancement model on the level of emotional stability for miners was established.Through adjusting the system variables such as team coordinated degree, organizational fairness degree, psychological safety training lev-el, personality traits and working environment comfort degree etc., the influence by the will strength, emotional safety tendency degree of miners and the leadership ability of managers to the level of emotional stability for miners were analyzed on the NETLOGO platform.The results showed that:the enhancement model on the level of emotion-al stability for miners is a typical CAS, the level of emotional stability for miners is the result of interaction between the various agent property, and the affecting degree is different.Therefore, the coal enterprises should consider va-rious factors, control and improve the behavior of each agent to improve the level of emotional stability for miners.%为解决由矿工情绪稳定性水平低下引起的不安全行为问题,基于复杂适应系统( CAS )理论和多主体建模与仿真( ABMS)的方法,构建矿工情绪稳定性水平提升模型。通过调节班组协调程度、组织公平程度、安全心理培训水平、受教育程度、个性特征和作业环境舒适度,在NETLOGO仿真平台上分析矿工意志强度、情绪安全倾向度以及管理者领导能力对矿工情绪稳定性水平的影响。研究表明:矿工的情绪稳定性水平提升系统是一种典型的复杂适应系统,矿工情绪稳定性水平是各主体属性相互作用的结果,作用程度存在差异。因此,煤炭企业应考虑各种因素,通过控制和改善各主体的行为以提高矿工情绪稳定性水平。

  16. An Intelligent Fleet Condition-Based Maintenance Decision Making Method Based on Multi-Agent

    Directory of Open Access Journals (Sweden)

    Bo Sun

    2012-01-01

    Full Text Available According to the demand for condition-based maintenance online decision making among a mission oriented fleet, an intelligent maintenance decision making method based on Multi-agent and heuristic rules is proposed. The process of condition-based maintenance within an aircraft fleet (each containing one or more Line Replaceable Modules based on multiple maintenance thresholds is analyzed. Then the process is abstracted into a Multi-Agent Model, a 2-layer model structure containing host negotiation and independent negotiation is established, and the heuristic rules applied to global and local maintenance decision making is proposed. Based on Contract Net Protocol and the heuristic rules, the maintenance decision making algorithm is put forward. Finally, a fleet consisting of 10 aircrafts on a 3-wave continuous mission is illustrated to verify this method. Simulation results indicate that this method can improve the availability of the fleet, meet mission demands, rationalize the utilization of support resources and provide support for online maintenance decision making among a mission oriented fleet.

  17. MULTI-AGENT BASED SIMULATION OF OPTIMAL URBAN LAND USE ALLOCATION IN THE MIDDLE REACHES OF THE YANGTZE RIVER, CHINA

    OpenAIRE

    Zeng,Y.; Huang, W.; Jin, W.; Li, S

    2016-01-01

    The optimization of land-use allocation is one of important approaches to achieve regional sustainable development. This study selects Chang-Zhu-Tan agglomeration as study area and proposed a new land use optimization allocation model. Using multi-agent based simulation model, the future urban land use optimization allocation was simulated in 2020 and 2030 under three different scenarios. This kind of quantitative information about urban land use optimization allocation and urban expansions i...

  18. Multi-Agent System for Managing Human Activities in Space Operations

    Science.gov (United States)

    Schrenkenghost, Debra; Bonasso, R. Peter

    2006-01-01

    In manned space operations today, the astronauts' activity schedules are preplanned and adjusted daily on Earth. We have developed the Distributed Collaboration and Interaction (DCI) multi-agent system to investigate automating aspects of human activity management. The DCI System assists (1) plan generation, (2) human activity tracking, (3) plan revision, and (4) mixed initiative interaction with the plan. We have deployed and evaluated the DCI system at JSC to assist control engineers in managing anomaly handling activities for automated life support systems. DCI operated round the clock for 20 months in the Water Research Facility at JSC. Using this software, we reduced anomaly response time by engineers from up to 10 hours in previous tests to under an hour. Based on this evaluation, we conclude that agent assistance for schedule management has potential to improve astronaut activity awareness and reduce response time in situations where crew are interrupted to handle anomalies.

  19. Communicate only when necessary: Cooperative tasking for multi-agent systems

    CERN Document Server

    Karimadini, Mohammad

    2011-01-01

    New advances in large scale distributed systems have amazingly offered complex functionalities through parallelism of simple and rudimentary components. The key issue in cooperative control of multi-agent systems is the synthesis of local control and interaction rules among the agents such that the entire controlled system achieves a desired global behavior. For this purpose, three fundamental problems have to be addressed: (1) task decomposition for top-down design, such that the fulfillment of local tasks guarantees the satisfaction of the global task, by the team; (2) fault-tolerant top-down design, such that the global task remains decomposable and achievable, in spite of some failures, and (3) design of interactions among agents to make an undecomposable task decomposable and achievable in a top-down framework. The first two problems have been addressed in our previous works, by identifying necessary and sufficient conditions for task automaton decomposition, and fault-tolerant task decomposability. This...

  20. Formation-containment control of second-order multi-agent systems with only sampled position data

    Science.gov (United States)

    Zheng, Baojie; Mu, Xiaowu

    2016-11-01

    This paper studies the formation-containment control problem of second-order multi-agent systems with only sampled position data. It is assumed that there exist interactions among leaders and the leaders' neighbours are only leaders. Two different control protocols with only sampled position information are proposed for followers and leaders, respectively. By the algebraic graph theory and matrix theory, sufficient conditions are given to guarantee that the leaders achieve a desired formation and the followers asymptotically converge into the convex hull formed by the corresponding states of the leaders, i.e. the multi-agent systems achieve formation-containment. Moreover, an explicit expression of the formation position function is given for each leader. Finally, a numerical simulation is provided to illustrate the effectiveness of theoretical results.

  1. Multi-Agent System for Mission and Situational Awareness Management (MASAM) for Airborne Platforms

    Science.gov (United States)

    2003-01-01

    UNCLASSIFIED MULTI - AGENT SYSTEM FOR MISSION AND SITUATIONAL AWARENESS MANAGEMENT (MASAM) FOR AIRBORNE PLATFORMS (U) John C. Sciortino, Jr...TYPE 3. DATES COVERED 00-00-2003 to 00-00-2003 4. TITLE AND SUBTITLE Multi - Agent System for Mission and Situational Awareness Management (MASAM...Parameters Platform Figure 3: (U) Multi - Agent System for Mission and Situational Awareness Management (Left Panel). Use of CoABS Grid (Right Panel

  2. A multi-agent design for a pressurized water reactor (P.W.R.) control system; Modelisation multi-agents pour la conduite d'un reacteur a eau sous pression (REP)

    Energy Technology Data Exchange (ETDEWEB)

    Aimar-Lichtenberger, M. [Paris-11 Univ., 91 - Orsay (France)

    1999-01-01

    This PhD work is in keeping with the complex industrial process control. The starting point is the analysis of control principles in a Pressurized Water Reactor (P.W.R). In order to cope with the limits of the present control procedures, a new control organisation by objectives and means is defined. This functional organisation is based on the state approach and is characterized by the parallel management of control functions to ensure the continuous control of the installation essential variables. With regard to this complex system problematic, we search the most adapted computer modeling. We show that a multi-agent system approach brings an interesting answer to manage the distribution and parallelism of control decisions and tasks. We present a synthetic study of multi-agent systems and their application fields.The choice of a multi-agent approach proceeds with the design of an agent model. This model gains experiences from other applications. This model is implemented in a computer environment which combines the mechanisms of an object language with Prolog. We propose in this frame a multi-agent modeling of the control system where each function is represented by an agent. The agents are structured in a hierarchical organisation and deal with different abstraction levers of the problem. Following a prototype process, the validation is realized by an implementation and by a coupling to a reactor simulator. The essential contributions of an agent approach turn on the mastery of the system complexity, the openness, the robustness and the potentialities of human-machine cooperation. (author)

  3. An Analysis Architecture for Communications in Multi-agent Systems

    Directory of Open Access Journals (Sweden)

    Celia Gutiérrez

    2013-03-01

    Full Text Available Evaluation tools are significant from the Agent Oriented Software Engineering (AOSE point of view. Defective designs of communications in Multi-agent Systems (MAS may overload one or several agents, causing a bullying effect on them. Bullying communications have avoidable consequences, as high response times and low quality of service (QoS. Architectures that perform evaluation functionality must include features to measure the bullying activity and QoS, but it is also recommendable that they have reusability and scalability features. Evaluation tools with these features can be applied to a wide range of MAS, while minimizing designer’s effort. This work describes the design of an architecture for communication analysis, and its evolution to a modular version, that can be applied to different types of MAS. Experimentation of both versions shows differences between its executions.

  4. Intercell scheduling: A negotiation approach using multi-agent coalitions

    Science.gov (United States)

    Tian, Yunna; Li, Dongni; Zheng, Dan; Jia, Yunde

    2016-10-01

    Intercell scheduling problems arise as a result of intercell transfers in cellular manufacturing systems. Flexible intercell routes are considered in this article, and a coalition-based scheduling (CBS) approach using distributed multi-agent negotiation is developed. Taking advantage of the extended vision of the coalition agents, the global optimization is improved and the communication cost is reduced. The objective of the addressed problem is to minimize mean tardiness. Computational results show that, compared with the widely used combinatorial rules, CBS provides better performance not only in minimizing the objective, i.e. mean tardiness, but also in minimizing auxiliary measures such as maximum completion time, mean flow time and the ratio of tardy parts. Moreover, CBS is better than the existing intercell scheduling approach for the same problem with respect to the solution quality and computational costs.

  5. Iterative learning control for multi-agent systems coordination

    CERN Document Server

    Yang, Shiping; Li, Xuefang; Shen, Dong

    2016-01-01

    A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, this book showcases recent advances and industrially relevant applications. Readers are first given a comprehensive overview of the intersection between ILC and MAS, then introduced to a range of topics that include both basic and advanced theoretical discussions, rigorous mathematics, engineering practice, and both linear and nonlinear systems. Through systematic discussion of network theory and intelligent control, the authors explore future research possibilities, develop new tools, and provide numerous applications such as power grids, communication and sensor networks, intelligent transportation systems, and formation control. Readers will gain a roadmap of the latest advances in the fields and can use their newfound knowledge to design their own algorithms.

  6. Team Formation in Partially Observable Multi-Agent Systems

    Science.gov (United States)

    Agogino, Adrian K.; Tumer, Kagan

    2004-01-01

    Sets of multi-agent teams often need to maximize a global utility rating the performance of the entire system where a team cannot fully observe other teams agents. Such limited observability hinders team-members trying to pursue their team utilities to take actions that also help maximize the global utility. In this article, we show how team utilities can be used in partially observable systems. Furthermore, we show how team sizes can be manipulated to provide the best compromise between having easy to learn team utilities and having them aligned with the global utility, The results show that optimally sized teams in a partially observable environments outperform one team in a fully observable environment, by up to 30%.

  7. Flocking shape analysis of multi-agent systems

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    In this paper,we consider the shape control in flocking behavior of a multi-agent system with a virtual leader.Besides the traditional flocking control terms,which include a gradient-based term,a velocity consensus term and a navigational feed-back in general,a new piecewise smooth neighbor-based local controller is added to regulate the configuration to the desired flocking shape.All agent velocities approach the desired velocity asymptotically,while collisions among agents can be avoided.Furthermore,based on the proved stability,we obtain three kinds of flocking shapes,such as those in a single line,vee shape or corner shape.Some numerical simulation results are provided to demonstrate theoretical issues.

  8. Multi-Agent-System till brädspel

    OpenAIRE

    Wahlström, Marco; Karlsson, Jonas

    2012-01-01

    För att ta reda på hur väl en Multi-Agent-Systems-bot kan stå sig mot andra, icke-MAS-bottar, så har vi implementerat en bot till brädspelet Arimaa. Botten är implementerad i C++ och den kan spela mot andra bottar, eller människor, genom Arimaas officiella hemsida. Syftet har varit att skapa en fullfjädrad bot som både klarar av att spela korrekt, och att spela bra. För att ta reda på om MAS är en bra designfilosofi för Arimaa så har vi utmanat ett antal av de bottar som andra människor skapa...

  9. Tracking control for first-order multi-agent systems

    Institute of Scientific and Technical Information of China (English)

    Yang LIU; Yingmin JIA

    2008-01-01

    In this paper,the conventional tracking control problem is expanded to first-order multi-agent systerns,which can be solved by directly guiding any agent in the group.The following three kinds of desired motions are considered for all agents to track:1)stillness in space,2)variable motion with known acceleration,3) variable motion with partly unknown acceleration.Specifically,fixed networks with time delays and switching networks without delays are both considered in case 1).Switching networks with and without time delays are both studied in case 2),while for 3),switching networks without delays are mainly investigated.A numerical simulation example is included to illustrate the results.

  10. electrónica en sistemas multi-agente

    Directory of Open Access Journals (Sweden)

    MARCELA PASTRANA DAVID

    2008-01-01

    Full Text Available El objetivo del trabajo presentado en este artículo consiste en la definición de un método de comparación basado en la aplicación de métricas de calidad elaboradas con el fin de medir protocolos de negociación electrónica en entornos Multi-Agente. Para la comparación de los protocolos se escogen los siguientes criterios de calidad: Rapidez, Eficiencia, Escalabilidad y Completitud. Para la aplicación y validación del método de Comparación se implementan dos prototipos de negociación electrónica basados en las subastas inglesa y holandesa, utilizando la plataforma JADE (Java Agents DEvelopment Framework y se obtuvieron resultados preliminares de su comportamiento los cuales fueron analizados y se sacaron las conclusiones respectivas.

  11. Multi-agent cooperative intrusion response in mobile adhoc networks

    Institute of Scientific and Technical Information of China (English)

    Yi Ping; Zou Futai; Jiang Xinghao; Li Jianhua

    2007-01-01

    The nature of adhoc networks makes them vulnerable to security attacks. Many security technologies such as intrusion prevention and intrusion detection are passive in response to intrusions in that their countermeasures are only to protect the networks, and there is no automated network-wide counteraction against detected intrusions. the architecture of cooperation intrusion response based multi-agent is propose. The architecture is composed of mobile agents. Monitor agent resides on every node and monitors its neighbor nodes. Decision agent collects information from monitor nodes and detects an intrusion by security policies. When an intruder is found in the architecture, the block agents will get to the neighbor nodes of the intruder and form the mobile firewall to isolate the intruder. In the end, we evaluate it by simulation.

  12. Effective ODE Zones in a Multi- Agent System

    DEFF Research Database (Denmark)

    Hjorth, Poul G.

    Simulations which contain a large number of agents with rules for agent-agent interactions may grow to a level of complexity where it is cumbersome to extract useful information, difficult to split or agregate parts, and taxing on computational resources. We present here an example where a coarse...... graining of the system, and replacement of individual interactions with ODEs describing dynamical interactions between ‘effective zones’, leads to a fast and useful simplified model of the original complex system....

  13. Effective ODE Zones in a Multi- Agent System

    DEFF Research Database (Denmark)

    Hjorth, Poul G.

    Simulations which contain a large number of agents with rules for agent-agent interactions may grow to a level of complexity where it is cumbersome to extract useful information, difficult to split or agregate parts, and taxing on computational resources. We present here an example where a coarse...... graining of the system, and replacement of individual interactions with ODEs describing dynamical interactions between ‘effective zones’, leads to a fast and useful simplified model of the original complex system....

  14. Multi-agent-based Fuzzy Dispatching for Trucks at Container Terminal

    Directory of Open Access Journals (Sweden)

    Meng Yu

    2010-12-01

    Full Text Available At container terminals, containers are transported from the marshalling yard to the quay and vice versa by Container Trucks (CTs. This study discusses how to dispatch CTs by utilizing information about pickup and delivery locations and time in future delivery tasks based on dynamic dispatching strategy in which multiple tasks are matched with multiple CTs. n this paper, Multi-agent system (MAS is used as the basis for an intelligent dispatch system. To aim at that the characteristic of management of container terminal is how to optimize resource of terminal, the trends of decision-making way for management of container terminal, research and application of Multi-Agent system is summarized. Relationship between transport tasks and service of CTS has been taken as a contract net using the fuzzy set theory and method. Considering the load of communication and consultation efficiency in system, the bidirectional negotiation mechanism is adopted. The dispatching model based on Contract Network Protocol (CNP using bidirectional negotiation is provided for assigning optimal delivery tasks to CTs and fuzzy reasoning process of dispatching decisions is suggested. The method has both virtues of precision of static planning and flexibility of CNP and has been confirmed by cases.

  15. Second-Order Controllability of Multi-Agent Systems with Multiple Leaders

    Science.gov (United States)

    Liu, Bo; Shi, Yun-Tao; Su, Hou-Sheng; Han, Xiao

    2016-05-01

    This paper proposes a new second-order continuous-time multi-agent model and analyzes the controllability of second-order multi-agent system with multiple leaders based on the asymmetric topology. This paper considers the more general case: velocity coupling topology is different from location coupling topology. Some sufficient and necessary conditions are presented for the controllability of the system with multiple leaders. In addition, the paper studies the controllability of the system with velocity damping gain. Simulation results are given to illustrate the correctness of theoretical results. Supported by the National Natural Science Foundation of China under Grant Nos. 61473129, 61304049, 61104140, 61473002, the Beijing Natural Science Foundation Program under Grant No. 4132021, the Program for New Century Excellent Talents in University from Chinese Ministry of Education under Grant NCET-12-0215, “The-Great-Wall-Scholar” Candidate Training-Plan of North China University of Technology (NX130), and the Plan Training Project of Excellent Young Teacher of North China University of Technology (NX132), the Fundamental Research Funds for the Central Universities, (HUST: Grant No. 2015TS025), the Fundamental Research Funds for the Central Universities (WUT: Grant No. 2015VI015)

  16. Sampled-Data Consensus of Linear Multi-agent Systems With Packet Losses.

    Science.gov (United States)

    Zhang, Wenbing; Tang, Yang; Huang, Tingwen; Kurths, Jurgen

    2016-08-17

    In this paper, the consensus problem is studied for a class of multi-agent systems with sampled data and packet losses, where random and deterministic packet losses are considered, respectively. For random packet losses, a Bernoulli-distributed white sequence is used to describe packet dropouts among agents in a stochastic way. For deterministic packet losses, a switched system with stable and unstable subsystems is employed to model packet dropouts in a deterministic way. The purpose of this paper is to derive consensus criteria, such that linear multi-agent systems with sampled-data and packet losses can reach consensus. By means of the Lyapunov function approach and the decomposition method, the design problem of a distributed controller is solved in terms of convex optimization. The interplay among the allowable bound of the sampling interval, the probability of random packet losses, and the rate of deterministic packet losses are explicitly derived to characterize consensus conditions. The obtained criteria are closely related to the maximum eigenvalue of the Laplacian matrix versus the second minimum eigenvalue of the Laplacian matrix, which reveals the intrinsic effect of communication topologies on consensus performance. Finally, simulations are given to show the effectiveness of the proposed results.

  17. 基于人工蜂群算法的电子商务多Agent自动谈判模型%Multi-Agent automated negotiation model for E-commerce based on the artificial bee colony algorithm

    Institute of Scientific and Technical Information of China (English)

    高珊; 马良; 张惠珍

    2015-01-01

    Since the current E⁃commerce automated negotiation systems ( ANS ) have some disadvantages such as slow matching and low overall utility in the dynamic Internet environment, a kind of E⁃commerce automated negoti⁃ation model based on the theory of the artificial bee colony algorithm ( ABC) is presented. The model integrates the intelligent business negotiation way based on the multi⁃Agent and multi⁃attribute automated negotiation mode. To obtain the solution that maximizes the overall interests quickly and accurately, the model puts emphasis on combi⁃ning the Agent matching of the E⁃commerce automated negotiation with the process of the ABC algorithm solution. A solution to an e⁃procurement was illustrated and compared with the other algorithms in efficiency, validating the ef⁃fectiveness of the model.%由于现有电子商务自动谈判模型在不断动态变化的网络环境中匹配慢、整体效用值低,结合人工蜂群算法的原理及求解流程,给出一种电子商务自动谈判模型。该模型基于多Agent多属性的自动谈判模式,融合符合实际的商务谈判方式,着重将电子商务自动谈判的Agent匹配与人工蜂群算法求解的过程相结合,以快速准确获得使整体利益最大的解。通过求解一个电子采购实例并与其他算法的求解效率进行对比,验证了该模型的有效性。

  18. Multi-agent system as a platform for management of medical documentation.

    Science.gov (United States)

    Lhotska, Lenka

    2007-01-01

    The paper is focused on description of an ongoing project of a pilot study and implementation of a multi-agent system for management of medical documentation in a hospital. First we analyzed the problem and divided it into four groups of tasks: storing and retrieving stored data, user interaction, data archiving, and system security. All these tasks are performed by corresponding agents, namely user interface agent, database agent, archive agent, and security agent. Communication between the agents is a crucial point of the system operation. The system has been designed as an open system and we assume that it will be extended by additional agents with new functions, e.g. decision support, biomedical signal evaluation, laboratory test evaluation.

  19. Leader-follower H∞ consensus of linear multi-agent systems with aperiodic sampling and switching connected topologies.

    Science.gov (United States)

    Zhang, Dan; Xu, Zhenhua; Wang, Qing-Guo; Zhao, Yun-Bo

    2017-02-12

    This paper is concerned with the distributed H∞ consensus of leader-follower multi-agent systems with aperiodic sampling interval and switching topologies. Under the assumption that the sampling period takes values from a given set, a new discrete-time model is proposed for the tracking error system. For the multi-agent systems with time-varying sampling period, switching topologies and external disturbance, the considered tracking problem is converted to a robust H∞ control problem. With help of the Lyapunov stability theory, a sufficient condition for the existence of mode-dependent controller is established and it guarantees the exponential stability of tracking error system and a prescribed H∞ disturbance attenuation level. The influence of sampling period on the overall control performance is also discussed. Two simulation examples are given to show the effectiveness of the proposed control algorithm.

  20. Towards an Optimized Design of Individualized Learning Paths: an Approach Based on Ontology and Multi-agents System

    Directory of Open Access Journals (Sweden)

    Jaber El Bouhdidi

    2012-11-01

    Full Text Available In this paper we present an intelligent architecture, oriented goals, to create individualized learning paths. The adaptation of learning paths to learner profiles is an area of research growing. More research in this field has shown that taking into account the preferences and learning styles of learners improve the quality of the teaching/learning; thus, the collection of information characterizing learners as, for instance, preferences, learning styles, goals ... etc, and those characterizing learning resources (annotation of resources are essential in order to make a matching between the query of learners and the profiles of hypermedia learning units. To recover their learning style, the learner is asked to take a test based on the model of Felder and Silverman. This test tells us about cognitive characteristics and affective behaviors and psychological which serve as relatively stable indicators of how learners perceive, interact and react with learning environments. Our contribution, therefore, consists of an adaptive approach based on semantic web, multi-agent systems and neural networks; thus, providing learners with personalized courses according to their profiles and their learning objectives.

  1. INTELLIGENT MULTI-AGENT PLATFORM WITHIN COLLABORATIVE NETWORKED ENVIRONMENT

    Directory of Open Access Journals (Sweden)

    Adina-Georgeta CREŢAN

    2016-06-01

    Full Text Available This paper proposes an agent-based intelligent platform to model and support parallel and concurrent negotiations among organizations acting in the same industrial market. The underlying complexity is to model the dynamic environment where multi-attribute and multi-participant negotiations are racing over a set of heterogeneous resources. The metaphor Interaction Abstract Machines (IAMs is used to model the parallelism and the non-deterministic aspects of the negotiation processes that occur in Collaborative Networked Environment.

  2. Compositional Design and Verification of a Multi-Agent System for One-to-Many Negotiation

    NARCIS (Netherlands)

    Brazier, F.M.T.; Cornelissen, F.; Gustavsson, R.; Jonker, C.M.; Lindeberg, O.; Polak, B.; Treur, J.

    1998-01-01

    A compositional verification method for multi-agent systems is presented and applied to a multi-agent system for one-to-many negotiation in the domain of load balancing of electricity use. Advantages of the method are that the complexity of the

  3. Bounded Model Checking for Temporal Epistemic Logic in Synchronous Multi-Agent Systems%有界模型检测同步多智体系统的时态认知逻辑

    Institute of Scientific and Technical Information of China (English)

    骆翔宇; 苏开乐; 杨晋吉

    2006-01-01

    提出在同步的多智体系统中验证时态认知逻辑的有界模型检测(bounded model checking,简称BMC)算法.基于同步解释系统语义,在时态逻辑CTL*的语言中引入认知模态词,从而得到一个新的时态认知逻辑ECKLn.通过引入状态位置函数的方法获得同步系统的智能体知识,避免了为时间域而扩展通常的时态认知模型的状态及迁移关系编码.ECKLn的时态认知表达能力强于另一个逻辑CTLK.给出该算法的技术细节及正确性证明,并用火车控制系统实例解释算法的执行过程.

  4. Improved Multi-Agent System for the Vehicle Routing Problem with Time Windows

    Institute of Scientific and Technical Information of China (English)

    DAN Zhenggang; CAI Linning; ZHENG Li

    2009-01-01

    The vehicle routing problem with time windows (VRPTW) involves assigning a fleet of limited ca-pacity vehicles to serve a set of customers without violating the capacity and time constraints. This paper presents a multi-agent model system for the VRPTW based on the internal behavior of agents and coordina-tion among the agents. The system presents a formal view of coordination using the traditional contract-net protocol (CNP) that relies on the basic loop of agent behavior for order receiving, order announcement, bid calculation, and order scheduling followed by order execution. An improved CNP method based on a vehicle selection strategy is used to reduce the number of negotiations and the negotiation time. The model is vali-dated using Solomon's benchmarks, with the results showing that the improved CNP uses only 30% as many negotiations and only 70% of the negotiation time of the traditional CNP.

  5. 10th KES Conference on Agent and Multi-Agent Systems : Technologies and Applications

    CERN Document Server

    Chen-Burger, Yun-Heh; Howlett, Robert; Jain, Lakhmi

    2016-01-01

    The modern economy is driven by technologies and knowledge. Digital technologies can free, shift and multiply choices, often intruding on the space of other industries, by providing new ways of conducting business operations and creating values for customers and companies. The topics covered in this volume include software agents, multi-agent systems, agent modelling, mobile and cloud computing, big data analysis, business intelligence, artificial intelligence, social systems, computer embedded systems and nature inspired manufacturing, etc. that contribute to the modern Digital Economy. This volume highlights new trends and challenges in agent, new digital and knowledge economy research and includes 28 papers classified in the following specific topics: business process management, agent-based modeling and simulation, anthropic-oriented computing, learning paradigms, business informatics and gaming, digital economy, and advances in networked virtual enterprises. Published papers were selected for presentatio...

  6. A framework for service enterprise workflow simulation with multi-agents cooperation

    Science.gov (United States)

    Tan, Wenan; Xu, Wei; Yang, Fujun; Xu, Lida; Jiang, Chuanqun

    2013-11-01

    Process dynamic modelling for service business is the key technique for Service-Oriented information systems and service business management, and the workflow model of business processes is the core part of service systems. Service business workflow simulation is the prevalent approach to be used for analysis of service business process dynamically. Generic method for service business workflow simulation is based on the discrete event queuing theory, which is lack of flexibility and scalability. In this paper, we propose a service workflow-oriented framework for the process simulation of service businesses using multi-agent cooperation to address the above issues. Social rationality of agent is introduced into the proposed framework. Adopting rationality as one social factor for decision-making strategies, a flexible scheduling for activity instances has been implemented. A system prototype has been developed to validate the proposed simulation framework through a business case study.

  7. A multi-agent system simulating human splice site recognition.

    Science.gov (United States)

    Vignal, L; Lisacek, F; Quinqueton, J; d'Aubenton-Carafa, Y; Thermes, C

    1999-06-15

    The present paper describes a method detecting splice sites automatically on the basis of sequence data and models of site/signal recognition supported by experimental evidences. The method is designed to simulate splicing and while doing so, track prediction failures, missing information and possibly test correcting hypotheses. Correlations between nucleotides in the splice site regions and the various elements of the acceptor region are evaluated and combined to assess compensating interactions between elements of the splicing machinery. A scanning model of the acceptor region and a model of interaction between the splicing complexes (exon definition model) are also incorporated in the detection process. Subsets of sites presenting deficiencies of several splice site elements could be identified. Further examination of these sites helps to determine lacking elements and refine models.

  8. Multi-agent Optimal Control of Ball Balancing on a Mobile

    Directory of Open Access Journals (Sweden)

    Adel Akbarimajd

    2015-12-01

    Full Text Available Multi-agent systems have origin in computer engineering however, they have found applications in different field. One of the newly emerged problems in multi-agent systems is multi-agent control. In multi-agent control it is desired that the control is done in distributed manner. That is the controller of each agent should be implemented based on local feedback. In this a mechanism is introuded as a test bed for multi-agent control systems. The introduced mechanism is balancing of a ball on link located on a planar mobile robot. Dynamic equations of the mechanism is derived and the control task is distributed among two agents. For each agent a two loop controller designed wherein external loop is a LQR controller and inner loop is a simple proportional controller. Regulation and fault tolerance performance of controller scheme is evaluated by simulations.

  9. Graph-Theoretic Characterizations of Structural Controllability for Multi-Agent System with Switching Topology

    CERN Document Server

    Liu, Xiaomeng; Chen, Ben M

    2012-01-01

    This paper considers the controllability problem for multi-agent systems. In particular, the structural controllability of multi-agent systems under switching topologies is investigated. The structural controllability of multi-agent systems is a generalization of the traditional controllability concept for dynamical systems, and purely based on the communication topologies among agents. The main contributions of the paper are graph-theoretic characterizations of the structural controllability for multi-agent systems. It turns out that the multi-agent system with switching topology is structurally controllable if and only if the union graph G of the underlying communication topologies is connected (single leader) or leader-follower connected (multi-leader). Finally, the paper concludes with several illustrative examples and discussions of the results and future work.

  10. Trends in practical applications of heterogeneous multi-agent systems : the PAAMS collection

    CERN Document Server

    Rodríguez, Juan; Mathieu, Philippe; Campbell, Andrew; Ortega, Alfonso; Adam, Emmanuel; Navarro, Elena; Ahrndt, Sebastian; Moreno, María; Julián, Vicente

    2014-01-01

    PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2014 special sessions: Agents Behaviours and Artificial Markets (ABAM), Agents and Mobile Devices (AM), Bio-Inspired and Multi-Agents Systems: Applications to Languages (BioMAS), Multi-Agent Systems and Ambient Intelligence (MASMAI), Self-Explaining Agents (SEA), Web Mining and Recommender systems (WebMiRes) and Intelligent Educational Systems (SSIES).

  11. Adaptive, Distributed Control of Constrained Multi-Agent Systems

    Science.gov (United States)

    Bieniawski, Stefan; Wolpert, David H.

    2004-01-01

    Product Distribution (PO) theory was recently developed as a broad framework for analyzing and optimizing distributed systems. Here we demonstrate its use for adaptive distributed control of Multi-Agent Systems (MASS), i.e., for distributed stochastic optimization using MAS s. First we review one motivation of PD theory, as the information-theoretic extension of conventional full-rationality game theory to the case of bounded rational agents. In this extension the equilibrium of the game is the optimizer of a Lagrangian of the (Probability dist&&on on the joint state of the agents. When the game in question is a team game with constraints, that equilibrium optimizes the expected value of the team game utility, subject to those constraints. One common way to find that equilibrium is to have each agent run a Reinforcement Learning (E) algorithm. PD theory reveals this to be a particular type of search algorithm for minimizing the Lagrangian. Typically that algorithm i s quite inefficient. A more principled alternative is to use a variant of Newton's method to minimize the Lagrangian. Here we compare this alternative to RL-based search in three sets of computer experiments. These are the N Queen s problem and bin-packing problem from the optimization literature, and the Bar problem from the distributed RL literature. Our results confirm that the PD-theory-based approach outperforms the RL-based scheme in all three domains.

  12. Adaptive Multi-Agent Systems for Constrained Optimization

    Science.gov (United States)

    Macready, William; Bieniawski, Stefan; Wolpert, David H.

    2004-01-01

    Product Distribution (PD) theory is a new framework for analyzing and controlling distributed systems. Here we demonstrate its use for distributed stochastic optimization. First we review one motivation of PD theory, as the information-theoretic extension of conventional full-rationality game theory to the case of bounded rational agents. In this extension the equilibrium of the game is the optimizer of a Lagrangian of the (probability distribution of) the joint state of the agents. When the game in question is a team game with constraints, that equilibrium optimizes the expected value of the team game utility, subject to those constraints. The updating of the Lagrange parameters in the Lagrangian can be viewed as a form of automated annealing, that focuses the MAS more and more on the optimal pure strategy. This provides a simple way to map the solution of any constrained optimization problem onto the equilibrium of a Multi-Agent System (MAS). We present computer experiments involving both the Queen s problem and K-SAT validating the predictions of PD theory and its use for off-the-shelf distributed adaptive optimization.

  13. Optimal Wonderful Life Utility Functions in Multi-Agent Systems

    Science.gov (United States)

    Wolpert, David H.; Tumer, Kagan; Swanson, Keith (Technical Monitor)

    2000-01-01

    The mathematics of Collective Intelligence (COINs) is concerned with the design of multi-agent systems so as to optimize an overall global utility function when those systems lack centralized communication and control. Typically in COINs each agent runs a distinct Reinforcement Learning (RL) algorithm, so that much of the design problem reduces to how best to initialize/update each agent's private utility function, as far as the ensuing value of the global utility is concerned. Traditional team game solutions to this problem assign to each agent the global utility as its private utility function. In previous work we used the COIN framework to derive the alternative Wonderful Life Utility (WLU), and experimentally established that having the agents use it induces global utility performance up to orders of magnitude superior to that induced by use of the team game utility. The WLU has a free parameter (the clamping parameter) which we simply set to zero in that previous work. Here we derive the optimal value of the clamping parameter, and demonstrate experimentally that using that optimal value can result in significantly improved performance over that of clamping to zero, over and above the improvement beyond traditional approaches.

  14. Product Distribution Theory for Control of Multi-Agent Systems

    Science.gov (United States)

    Lee, Chia Fan; Wolpert, David H.

    2004-01-01

    Product Distribution (PD) theory is a new framework for controlling Multi-Agent Systems (MAS's). First we review one motivation of PD theory, as the information-theoretic extension of conventional full-rationality game theory to the case of bounded rational agents. In this extension the equilibrium of the game is the optimizer of a Lagrangian of the (probability distribution of) the joint stare of the agents. Accordingly we can consider a team game in which the shared utility is a performance measure of the behavior of the MAS. For such a scenario the game is at equilibrium - the Lagrangian is optimized - when the joint distribution of the agents optimizes the system's expected performance. One common way to find that equilibrium is to have each agent run a reinforcement learning algorithm. Here we investigate the alternative of exploiting PD theory to run gradient descent on the Lagrangian. We present computer experiments validating some of the predictions of PD theory for how best to do that gradient descent. We also demonstrate how PD theory can improve performance even when we are not allowed to rerun the MAS from different initial conditions, a requirement implicit in some previous work.

  15. Multi-agents architecture for supply chain management

    CERN Document Server

    Roy, Daniel; Monteiro, Thibaud; Ouzizi, Latifa

    2008-01-01

    The purpose of this paper is to propose a new approach for the supply chain management. This approach is based on the virtual enterprise paradigm and the used of multi-agent concept. Each entity (like enterprise) is autonomous and must perform local and global goals in relation with its environment. The base component of our approach is a Virtual Enterprise Node (VEN). The supply chain is viewed as a set of tiers (corresponding to the levels of production), in which each partner of the supply chain (VEN) is in relation with several customers and suppliers. Each VEN belongs to one tier. The main customer gives global objectives (quantity, cost and delay) to the supply chain. The Mediator Agent (MA) is in charge to manage the supply chain in order to respect those objectives as global level. Those objectives are taking over to Negotiator Agent at the tier level (NAT). These two agents are only active if a perturbation occurs; otherwise information flows are only exchange between VENs. This architecture allows s...

  16. Exchanging large data object in multi-agent systems

    Science.gov (United States)

    Al-Yaseen, Wathiq Laftah; Othman, Zulaiha Ali; Nazri, Mohd Zakree Ahmad

    2016-08-01

    One of the Business Intelligent solutions that is currently in use is the Multi-Agent System (MAS). Communication is one of the most important elements in MAS, especially for exchanging large low level data between distributed agents (physically). The Agent Communication Language in JADE has been offered as a secure method for sending data, whereby the data is defined as an object. However, the object cannot be used to send data to another agent in a different location. Therefore, the aim of this paper was to propose a method for the exchange of large low level data as an object by creating a proxy agent known as a Delivery Agent, which temporarily imitates the Receiver Agent. The results showed that the proposed method is able to send large-sized data. The experiments were conducted using 16 datasets ranging from 100,000 to 7 million instances. However, for the proposed method, the RAM and the CPU machine had to be slightly increased for the Receiver Agent, but the latency time was not significantly different compared to the use of the Java Socket method (non-agent and less secure). With such results, it was concluded that the proposed method can be used to securely send large data between agents.

  17. Optimal control in microgrid using multi-agent reinforcement learning.

    Science.gov (United States)

    Li, Fu-Dong; Wu, Min; He, Yong; Chen, Xin

    2012-11-01

    This paper presents an improved reinforcement learning method to minimize electricity costs on the premise of satisfying the power balance and generation limit of units in a microgrid with grid-connected mode. Firstly, the microgrid control requirements are analyzed and the objective function of optimal control for microgrid is proposed. Then, a state variable "Average Electricity Price Trend" which is used to express the most possible transitions of the system is developed so as to reduce the complexity and randomicity of the microgrid, and a multi-agent architecture including agents, state variables, action variables and reward function is formulated. Furthermore, dynamic hierarchical reinforcement learning, based on change rate of key state variable, is established to carry out optimal policy exploration. The analysis shows that the proposed method is beneficial to handle the problem of "curse of dimensionality" and speed up learning in the unknown large-scale world. Finally, the simulation results under JADE (Java Agent Development Framework) demonstrate the validity of the presented method in optimal control for a microgrid with grid-connected mode.

  18. Multi-Agent Based Model for Web Service Composition

    OpenAIRE

    2016-01-01

    The evolution of the Internet and the competitiveness among companies were factors in the explosion of Web services. Web services are applications available on the Internet each performing a particular task. Web users often need to call different services to achieve a more complex task that can’t be satisfied by a simple service. And users often prefer to have the best services responding to their requests. In this context, we should measure the Quality of Service (QoS) which is a very import...

  19. Non-life insurance pricing: multi-agent model

    Science.gov (United States)

    Darooneh, A. H.

    2004-11-01

    We use the maximum entropy principle for the pricing of non-life insurance and recover the Bühlmann results for the economic premium principle. The concept of economic equilibrium is revised in this respect.

  20. Non-Life Insurance Pricing: Multi Agents Model

    OpenAIRE

    Amir H. Darooneh

    2004-01-01

    We use the maximum entropy principle for pricing the non-life insurance and recover the B\\"{u}hlmann results for the economic premium principle. The concept of economic equilibrium is revised in this respect.

  1. Distributed output regulation for multi-agent systems with norm-bounded uncertainties

    Science.gov (United States)

    Yu, Lu; Wang, Jinzhi

    2014-11-01

    In this paper, we consider the distributed robust output regulation problem for multi-agent systems (MASs). It is involved with a group of heterogeneous high-order linear uncertain systems and an linear exosystem. The regulated output is a combination of the output of MAS and the exosystem, which is defined based on controlling demands. Distributed controllers are designed to ensure that the regulated output converges to the origin and meanwhile the closed-loop MAS is stable. The sufficient conditions for the solvability of distributed output regulation problem are given in terms of linear matrix inequalities. And algorithms are proposed to design distributed dynamic controllers with state feedback and output feedback, via the help of internal models. It is shown that, for any time-invariant norm-bounded uncertainties, the given controllers can realise the objective of output regulation.

  2. Sliding mode control for multi-agent systems under a time-varying topology

    Science.gov (United States)

    Dong, Lijing; Chai, Senchun; Zhang, Baihai; Kiong Nguang, Sing

    2016-07-01

    This paper addresses the tracking problem of a class of multi-agent systems under uncertain communication environments which has been modelled by a finite number of constant Laplacian matrices together with their corresponding scheduling functions. Sliding mode control method is applied to solve this nonlinear tracking problem under a time-varying topology. The controller of each tracking agent has been designed by using only its own and neighbours' information. Sufficient conditions for the existence of a sliding mode control tracking strategy have been provided by the solvability of linear matrix inequalities. At the end of this work, numerical simulations are employed to demonstrate the effectiveness of the proposed sliding mode control tracking strategy.

  3. A Demand-Driven Approach for a Multi-Agent System in Supply Chain Management

    Science.gov (United States)

    Kovalchuk, Yevgeniya; Fasli, Maria

    This paper presents the architecture of a multi-agent decision support system for Supply Chain Management (SCM) which has been designed to compete in the TAC SCM game. The behaviour of the system is demand-driven and the agents plan, predict, and react dynamically to changes in the market. The main strength of the system lies in the ability of the Demand agent to predict customer winning bid prices - the highest prices the agent can offer customers and still obtain their orders. This paper investigates the effect of the ability to predict customer order prices on the overall performance of the system. Four strategies are proposed and compared for predicting such prices. The experimental results reveal which strategies are better and show that there is a correlation between the accuracy of the models' predictions and the overall system performance: the more accurate the prediction of customer order prices, the higher the profit.

  4. Resources Scheduling System for Collaborative Design in Ontology and Multi-agents

    Directory of Open Access Journals (Sweden)

    Liu Dianting

    2013-01-01

    Full Text Available A core issue of collaborative design is scheduling of design resources. In the collaborative design based on network, design resources often have some traits such as half-structured, distributed, isomerized and so on. Therefore, a kind of resources scheduling system based on the technology of ontology and the technology of multi-agents in collaborative design is proposed in this paper. The ontology models of design resources, and the algorithm of resources scheduling, and the function of each agent in system, and the flow of collaborative work among all agents are elaborated, and the software system of resources scheduling is studied and designed in this paper. The testing results show that the principle and method proposed in this paper are correct, and convenient in operation, and strong in practical application, and have high value in application and popularization.

  5. Handling uncertainty of resource division in multi agent system using game against nature

    Directory of Open Access Journals (Sweden)

    Skrzypczyk Krzysztof

    2014-09-01

    Full Text Available This paper addresses the problem of resource division for robotic agents in the framework of Multi-Agent System. Knowledge of the environment represented in the system is uncertain, incomplete and distributed among the individual agents that have both limited sensing and communication abilities. The pick-up-and-collection problem is considered in order to illustrate the idea presented. In this paper a framework for cooperative task assignment to individual agents is discussed. The process of negotiating access to common resources by intercommunicating agents is modeled and solved as a game against Nature. The working of the proposed system was verified by multiple simulations. Selected, exemplary simulations are presented in the paper to illustrate the approach discussed

  6. An Intelligent Multi-Agent Recommender System for Human Capacity Building

    CERN Document Server

    Marivate, Vukosi N; Marwala, Tshilidzi

    2008-01-01

    This paper presents a Multi-Agent approach to the problem of recommending training courses to engineering professionals. The recommendation system is built as a proof of concept and limited to the electrical and mechanical engineering disciplines. Through user modelling and data collection from a survey, collaborative filtering recommendation is implemented using intelligent agents. The agents work together in recommending meaningful training courses and updating the course information. The system uses a users profile and keywords from courses to rank courses. A ranking accuracy for courses of 90% is achieved while flexibility is achieved using an agent that retrieves information autonomously using data mining techniques from websites. This manner of recommendation is scalable and adaptable. Further improvements can be made using clustering and recording user feedback.

  7. A Multi-Agent Emotion Generating System for Mobile Robots System

    Science.gov (United States)

    Nair, Shivashankar B.; Kim, Dong Hwa

    Emotions are a complex phenomenon and are in constant research for so long. Emotions can be presupposed as a dynamic association of cells on elicitation. The use of agents for emotions generation and emotion modeling are on the rise in the recent years. In this work, we propose a dynamic emotion generation system based on multiple agents. A Multi-Agent System (MAS) to generate emotions targeted towards a mobile robot has been implemented. The agent-robot communication is still being investigated. An illustration of the use of this emotion generation module is explained in the context of the emotion system. Some ancillary investigations performed in using mobile robots for localization and terrain mapping have also been described.

  8. Generalized Voronoi Partition Based Multi-Agent Search using Heterogeneous Sensors

    CERN Document Server

    Guruprasad, K R

    2009-01-01

    In this paper we propose search strategies for heterogeneous multi-agent systems. Multiple agents, equipped with communication gadget, computational capability, and sensors having heterogeneous capabilities, are deployed in the search space to gather information such as presence of targets. Lack of information about the search space is modeled as an uncertainty density distribution. The uncertainty is reduced on collection of information by the search agents. We propose a generalization of Voronoi partition incorporating the heterogeneity in sensor capabilities, and design optimal deployment strategies for multiple agents, maximizing a single step search effectiveness. The optimal deployment forms the basis for two search strategies, namely, {\\em heterogeneous sequential deploy and search} and {\\em heterogeneous combined deploy and search}. We prove that the proposed strategies can reduce the uncertainty density to arbitrarily low level under ideal conditions. We provide a few formal analysis results related ...

  9. FLOCKING OF MULTI-AGENT DYNAMIC SYSTEMS WITH GUARANTEED GROUP CONNECTIVITY

    Institute of Scientific and Technical Information of China (English)

    Xiaoli LI; Yugeng XI

    2008-01-01

    This paper investigates distributed flocking problem where the information exchange among agents is modeled by the communication topology changing with time. Previous research on this problem establishes group stabilization by assuming that the dynamic topology is connected all the time, which however cannot be guaranteed by most proposed distributed control laws. In this paper, a distributed algorithm to distill a necessary subgraph of the initial communication topology is presented.This subgraph covers all the vertices of the communication topology and is proved to be connected as long as the initial communication topology is connected. A distributed control law is then designed to pursue the flocking motion while preserving all the edges in this subgraph. In this way, connectivity can be preserved all the time, and flocking problem is thus solved only provided the initial communication topology of multi-agent system is connected.

  10. Sphericall: A Human/Artificial Intelligence interaction experience

    Directory of Open Access Journals (Sweden)

    Frack Gechter

    2014-12-01

    Full Text Available Multi-agent systems are now wide spread in scientific works and in industrial applications. Few applications deal with the Human/Multi-agent system interaction. Multi-agent systems are characterized by individual entities, called agents, in interaction with each other and with their environment. Multi-agent systems are generally classified into complex systems categories since the global emerging phenomenon cannot be predicted even if every component is well known. The systems developed in this paper are named reactive because they behave using simple interaction models. In the reactive approach, the issue of Human/system interaction is hard to cope with and is scarcely exposed in literature. This paper presents Sphericall, an application aimed at studying Human/Complex System interactions and based on two physics inspired multi-agent systems interacting together. The Sphericall device is composed of a tactile screen and a spherical world where agents evolve. This paper presents both the technical background of Sphericall project and a feedback taken from the demonstration performed during OFFF Festival in La Villette (Paris.

  11. INFUSION: Modeling Robot and Crew Interaction

    Science.gov (United States)

    Laufenberg, Lawrence

    2003-01-01

    Brahms is a multi-agent modeling and simulation language and distributed runtime system developed at NASA. It can be used to model and run a simualtion of the distributed work activities of multiple agents, such as humans,robots, and software agents, to coordinate a mission on one or more locations.Brahms is being used to model activities at the Flashline Man Arctic Research Station for possible use in planning Mars missions. The station is located at Haughton Crater, Devon Island, Nutiavut, Arctic Canada.

  12. Evaluating the STORE Reputation System in Multi-Agent Simulations

    Science.gov (United States)

    Andrulis, Jonas; Haller, Jochen; Weinhardt, Christof; Karabulut, Yuecel

    In recent global business environments, collaborations among organisations raise an increased demand for swift establishment. Such collaborations are formed between organisations entering Virtual Organizations (VOs), crossing geographic borders and frequently without prior experience of the other partner’s previous performance. In VOs, every participant risks engaging with partners who may exhibit unexpected fraudulent or otherwise untrusted behaviour. In order to cope with this risk, the STochastic REputation system (STORE) was designed to provide swift, automated decision support for selecting partner organisations in the early stages of the VO’s formation. The contribution of this paper first consists of a multi-agent simulation framework design and implementation to evaluate the STORE reputation system. This framework is able to simulate dynamic agent behaviour, agents hereby representing organisations, and to capture the business context of different VO application scenarios. A configuration of agent classes is a powerful tool to obtain not only well or badly performing agents for simulation scenarios, but also agents which are specialized in particular VO application domains or even malicious agents, attacking the VO community. The second contribution comprises of STORE’s evaluation in two simulation scenarios, set in the VO application domains of Collaborative Engineering and Ad-hoc Service provisioning. Besides the ability to clearly distinguish between agents of different classes according to their reputation, the results prove STORE’s ability to take an agent’s dynamic behaviour into account. The simulation results show, that STORE solves the difficult task of selecting the most trustworthy partner for a particular VO application domain from a set of honest agents that are specialized in a wide spread of VO application domains.

  13. Agent交互层次模型%The Hierarchical Model on Agent Interaction

    Institute of Scientific and Technical Information of China (English)

    高波; 费奇; 陈学广

    2001-01-01

    The interaction problem is at the core position of researches on multi-agent systems. So the research on agent interaction mechanism is very important and fundamental. To this end ,the hierarchical model on agent interaction (HMAI) is proposed on the basis of studying the characteristics of agent interactive behaviors. There are four main layers in HMAI which contanis the layer of computer network protocol ,the layer of communication protocol ,the layer of interaction protocol and the layer of interactive strategy. The latter three layers are the emphases of this paper. Their concepts,theories and present status of research will be analyzed in detail. At the end of the paper ,some notes on comprehending HMAI and some work that should be carried on are discussed.

  14. A multi-agent architecture for geosimulation of moving agents

    Science.gov (United States)

    Vahidnia, Mohammad H.; Alesheikh, Ali A.; Alavipanah, Seyed Kazem

    2015-10-01

    In this paper, a novel architecture is proposed in which an axiomatic derivation system in the form of first-order logic facilitates declarative explanation and spatial reasoning. Simulation of environmental perception and interaction between autonomous agents is designed with a geographic belief-desire-intention and a request-inform-query model. The architecture has a complementary quantitative component that supports collaborative planning based on the concept of equilibrium and game theory. This new architecture presents a departure from current best practices geographic agent-based modelling. Implementation tasks are discussed in some detail, as well as scenarios for fleet management and disaster management.

  15. Ett Multi-Agent System som spelar brädspelet Risk

    OpenAIRE

    Olsson, Fredrik

    2005-01-01

    Risk is a game in which traditional Artificial-Intelligence methods such as for example iterative deepening and Alpha-Beta pruning can not successfully be applied due to the size of the search space. Distributed problem solving in the form of a multi-agent system might be the solution. This needs to be tested before it is possible to tell if a multi-agent system will be successful at playing Risk or not. In this thesis the development of a multi-agent system that plays Risk is explained. The ...

  16. Distributed Cooperative Control of Nonlinear and Non-identical Multi-agent Systems

    DEFF Research Database (Denmark)

    Bidram, Ali; Lewis, Frank; Davoudi, Ali

    2013-01-01

    to the synchronization problem for an identical linear multi-agent system. The controller for each agent is designed to be fully distributed, such that each agent only requires its own information and the information of its neighbors. The proposed control method is exploited to implement the secondary voltage control......This paper exploits input-output feedback linearization technique to implement distributed cooperative control of multi-agent systems with nonlinear and non-identical dynamics. Feedback linearization transforms the synchronization problem for a nonlinear and heterogeneous multi-agent system...... for electric power microgrids. The effectiveness of the proposed control is verified by simulating a microgrid test system....

  17. A multi-agent approach to the design of an e-health system.

    Science.gov (United States)

    Di Giacomo, Paola; Ricci, Fabrizio L

    2006-01-01

    E-medicine covers the whole range of medical process and service. Multi-agent approach is suitable for the development of e-medicine systems. In this paper, firstly the requirements of e-medicine are analyzed and taxonomy is proposed for e-medicine systems. Secondly multi-agent approach is introduced for developing e-medicine systems, and the design of agents and the design of multi-agent structure are presented for e-medicine systems. Finally a case study is presented on a telemedicine for diabetes to illustrate the development of e-medicine systems. Then, our future work is to implement the proposed system.

  18. Designing of Rescue Multi Agent System Based on Soft Computing Techniques

    Directory of Open Access Journals (Sweden)

    SHAMSHIRBAND, S. S

    2010-02-01

    Full Text Available The goal of rescuer Multi agent's project is to simulate urban unpleasant incidents and events to reduce the rate of detriment of this event. The various rescuer forces attempt to do their best duties. One of the most important problems in multi agent system is communication among agents. Most of the various algorithms in multi agent system so far has share of duties, negotiation, learning and searching need to various forms of communication among agents. In the paper we attempt to rescue the most wounded using Reinforcement learning to be able to gain the shortest time.

  19. Highlights on Practical Applications of Agents and Multi-Agent Systems 10th International Conference on Practical Applications of Agents and Multi-Agent Systems

    CERN Document Server

    Sánchez, Miguel; Mathieu, Philippe; Rodríguez, Juan; Adam, Emmanuel; Ortega, Alfonso; Moreno, María; Navarro, Elena; Hirsch, Benjamin; Lopes-Cardoso, Henrique; Julián, Vicente

    2012-01-01

    Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. PAAMS provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. PAAMS started as a local initiative, but has since grown to become THE international yearly platform to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development and deployment of Agents and Multi-Agent Systems. PAAMS intends to bring together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on the application of multi-agent systems, to discuss and debate the major ...

  20. Advances on Practical Applications of Agents and Multi-Agent Systems 10th International Conference on Practical Applications of Agents and Multi-Agent Systems

    CERN Document Server

    Müller, Jörg; Rodríguez, Juan; Pérez, Javier

    2012-01-01

    Research on Agents and Multi-Agent Systems has matured during the last decade and many effective applications of this technology are now deployed. PAAMS provides an international forum to present and discuss the latest scientific developments and their effective applications, to assess the impact of the approach, and to facilitate technology transfer. PAAMS started as a local initiative, but has since grown to become THE international yearly platform to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development and deployment of Agents and Multi-Agent Systems. PAAMS intends to bring together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on the application of multi-agent systems, to discuss and debate the major ...