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Sample records for adaptive agent architecture

  1. Dimensions of Usability: Cougaar, Aglets and Adaptive Agent Architecture (AAA)

    Haack, Jereme N.; Cowell, Andrew J.; Gorton, Ian

    2004-06-20

    Research and development organizations are constantly evaluating new technologies in order to implement the next generation of advanced applications. At Pacific Northwest National Laboratory, agent technologies are perceived as an approach that can provide a competitive advantage in the construction of highly sophisticated software systems in a range of application areas. An important factor in selecting a successful agent architecture is the level of support it provides the developer in respect to developer support, examples of use, integration into current workflow and community support. Without such assistance, the developer must invest more effort into learning instead of applying the technology. Like many other applied research organizations, our staff are not dedicated to a single project and must acquire new skills as required, underlining the importance of being able to quickly become proficient. A project was instigated to evaluate three candidate agent toolkits across the dimensions of support they provide. This paper reports on the outcomes of this evaluation and provides insights into the agent technologies evaluated.

  2. Designing a meta-level architecture in Java for adaptive parallelism by mobile software agents

    Dominic, Stephen Victor

    Adaptive parallelism refers to a parallel computation that runs on a pool of processors that may join or withdraw from a running computation. In this dissertation, a functional system of agents and agent behaviors for adaptive parallelism is developed. Software agents have the properties of robustness and have capacity for fault-tolerance. Adaptation and fault-tolerance emerge from the interaction of self-directed autonomous software agents for a parallel computation application. The multi-agent system can be considered an object-oriented system with a higher-level architectural component, i.e., a meta level for agent behavior. The meta-level object architecture is based on patterns of behavior and communication for mobile agents, which are developed to support cooperative problem solving in a distributed-heterogeneous computing environment. Although parallel processing is a suggested application domain for mobile agents implemented in the Java language, the development of robust agent behaviors implemented in an efficient manner is an active research area. Performance characteristics for three versions of a pattern recognition problem are used to demonstrate a linear speed-up with efficiency that is compared to research using a traditional client-server protocol in the C language. The best ideas from existing approaches to adaptive parallelism are used to create a single general-purpose paradigm that overcomes problems associated with nodefailure, the use of a single-centralized or shared resource, requirements for clients to actively join a computation, and a variety of other limitations that are associated with existing systems. The multi-agent system, and experiments, show how adaptation and parallelism can be exploited by a meta-architecture for a distributed-scientific application that is of particular interest to design of signal-processing ground stations. To a large extent the framework separates concern for algorithmic design from concern for where and

  3. Adaptive Architectural Envelope

    Foged, Isak Worre; Kirkegaard, Poul Henning

    2010-01-01

    Recent years have seen an increasing variety of applications of adaptive architectural structures for improvement of structural performance by recognizing changes in their environments and loads, adapting to meet goals, and using past events to improve future performance or maintain serviceability....... The general scopes of this paper are to develop a new adaptive kinetic architectural structure, particularly a reconfigurable architectural structure which can transform body shape from planar geometries to hyper-surfaces using different control strategies, i.e. a transformation into more than one or...... two different shape alternatives. The adaptive structure is a proposal for a responsive building envelope which is an idea of a first level operational framework for present and future investigations towards performance based responsive architectures through a set of responsive typologies. A mock- up...

  4. Behavior-based dual dynamic agent architecture

    仵博; 吴敏; 曹卫华

    2003-01-01

    The objective of the architecture is to make agent promptly and adaptively accomplish tasks in the real-time and dynamic environment. The architecture is composed of elementary level behavior layer and high level be-havior layer. In the elementary level behavior layer, the reactive architecture is introduced to make agent promptlyreact to events; in the high level behavior layer, the deliberation architecture is used to enhance the intelligence ofthe agent. A confidence degree concept is proposed to combine the two layers of the architecture. An agent decisionmaking process is also presented, which is based on the architecture. The results of experiment in RoboSoccer simu-lation team show that the proposed architecture and the decision process are successful.

  5. Mobile Agent Communication in Highly Dynamic Networks: A Self-Adaptive Architecture inspired by the Honey Bee Colony

    Phuong T. Nguyen

    2014-12-01

    Full Text Available Communication is considered as a building block for mobile agent systems. In highly dynamic networks, thanks to environmental stimuli such as changes in connection quality and network topology, performance of communication between mobile agents may be degraded considerably.With focus on attaining fault tolerance and reliability, we propose a context-aware architecture for agent communication model inspired by the honey bee colony. To validate the hypothesis, a software prototype has been designed and implemented according to the proposed mechanism. Encouraging experimental results on a test system show that our approach brings benefits to a colony of agent platforms.

  6. Asimovian Adaptive Agents

    Gordon, D F

    2011-01-01

    The goal of this research is to develop agents that are adaptive and predictable and timely. At first blush, these three requirements seem contradictory. For example, adaptation risks introducing undesirable side effects, thereby making agents' behavior less predictable. Furthermore, although formal verification can assist in ensuring behavioral predictability, it is known to be time-consuming. Our solution to the challenge of satisfying all three requirements is the following. Agents have finite-state automaton plans, which are adapted online via evolutionary learning (perturbation) operators. To ensure that critical behavioral constraints are always satisfied, agents' plans are first formally verified. They are then reverified after every adaptation. If reverification concludes that constraints are violated, the plans are repaired. The main objective of this paper is to improve the efficiency of reverification after learning, so that agents have a sufficiently rapid response time. We present two solutions: ...

  7. Self-Adapting Reactive Autonomous Agents

    Andrecut, M.; Ali, M. K.

    This paper describes a new self-adapting control algorithm for reactive autonomous agents. The architecture of the autonomous agents integrates the reactive behavior with reinforcement learning. We show how these components perform on-line adaptation of the autonomous agents to various complex navigation situations by constructing an internal model of the environment. Also, a discussion on cooperation and coordination of teams of agents is presented.

  8. Locating Agents in RFID Architectures

    Abdel-Naby, Sameh; Giorgini, Paolo

    2006-01-01

    The use of software agents can create an “intelligent” interface between users’ preferences and the back‐end systems. Agents are now able to interact and communicate with each other, forming a virtual community and feeding back the user with suggestions. Innovative systems related to Asset Tracking, Inventory and Shelving architectures are more often involving advanced communication techniques (e.g., RFID); these systems are responsible for user authentication and objects verification. RFID s...

  9. Mobile Agent PLM Architecture for extended enterprise

    Abdelhak Boulaalam

    2011-01-01

    Full Text Available Nowadays manufacturers are under increased pressure to have an add value for their products to struggle the low-cost production in emerging countries. Distributed control and Intelligent Product are a new and exciting opportunity to build more effective process networks for a wide range of applications in logistics and product development, Radio Frequency Identification is applied increasingly; this technology applied in conjunction with the Mobile Agent system can bring more values in managing and control the lifecycle of products by optimizing the three essential factors: cost, quality and deadline for the survival of a company in the competitive manufacturing world. In this paper we propose Mobile Agent PLM Architecture for extended enterprise, based on Mobile Agent and RFID or, more generally, Product Embedded Information Devices (PEID, for tracking and managing the information of the whole product lifecycle in the extended enterprise, and to satisfy new requirements for increased integrability, traceability, adaptability, extendibility, and closed-loop PLM. Mobile Agents are suitable for tracking information in distributing environment and the mobility aspect, at any time and any place. This paper proposes a first architecture based on these technologies.

  10. Agent-Oriented Enterprise Architecture: new approach for Enterprise Architecture

    Babak Darvish Rouhani

    2012-11-01

    Full Text Available Nowadays, utilizing EA by enterprises with medium and long term goals causes improvement in their productivity and competitiveness. With respect to varied changes in enterprise's business activities and attitudes, flexibility in information systems of EA is a crucial factor. Agent's capacities in implementation of complex systems goal convince huge enterprises to use agent oriented architecture in their EA programs. Combination of EA and agent oriented architecture introduces a new attitude in order to make a better conditions for huge enterprises with complex information systems. This paper firstly enumerates the current problems of Enterprise Architecture, and then agent-oriented Enterprise Architecture is introduced as a comprehensive solution for eliminating mentioned defects deals raised. The main results of agent-oriented Enterprise Architecture includes: more flexibility in organizational change, reengineering organizational processes and comprehensive coverage of all activities of huge and complex organizations with no other lateral requirements.

  11. Agent-Oriented Enterprise Architecture: new approach for Enterprise Architecture

    Babak Darvish Rouhani; Fatemeh Nikpay

    2012-01-01

    Nowadays, utilizing EA by enterprises with medium and long term goals causes improvement in their productivity and competitiveness. With respect to varied changes in enterprise's business activities and attitudes, flexibility in information systems of EA is a crucial factor. Agent's capacities in implementation of complex systems goal convince huge enterprises to use agent oriented architecture in their EA programs. Combination of EA and agent oriented architecture introduces a new attitude i...

  12. Agent architecture for intelligent manufacturing systems

    J. Madejski

    2008-08-01

    Full Text Available Purpose: Analysis is made of requirements posed by tasks of agents operating in the intelligent manufacturing systems and their resulting architecture is presented.Design/methodology/approach: Architecture of agent systems for industrial environment is presented, making it possible to generate the particular agents customised for the specific tasks, based on the automatic analysis of its required features.Findings: Extension of cellular automata approach underlying the conventional agent behaviour specification using the Fuzzy Cognitive Maps is presented in conjunction with the neural networks providing learning capability of the agents designed for the various levels of the manufacturing supervisory and execution systems. Adding reaction time specification to FCM makes it possible to analyse and design systems with the required behaviour.Research limitations/implications: Specific features of the designed agent architecture have been tested as separate mechanisms which can be merged into the final comprehensive at a later stage.Originality/value: Agent architecture is proposed for the industrial applications of single agents and their groups that can collaborate to achieve the individual and joint goals specified in reaction to changing environment conditions and into their agendas in XML format. Automatic generation of custom agent reactions models can be carried out based on a set of requirements that may be specified in the if-then rules form.

  13. A multi-agent architecture for geosimulation of moving agents

    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.

  14. A Highly Secure Mobile Agent System Architecture

    Okataku, Yasukuni; Okutomi, Hidetoshi; Yoshioka, Nobukazu; Ohgishi, Nobuyuki; Honiden, Shinichi

    We propose a system architecture for mobile agents to improve their security in the environments of insecure networks and non-sophisticated terminals such as PDAs. As mobile agents freely migrate onto their favorite terminals through insecure networks or terminals, it is not appropriate for them to store some secret information for authentication and encryption/decryption. We introduce one and more secure nodes(OASIS NODE) for securely generating and verifying authentication codes. The each agent’s data are encrypted by a pseudo-chaos cipher mechanism which doesn’t need any floating processing co-processor. We’ve constructed a prototype system on a Java mobile agent framework, “Bee-gent" which implements the proposed authentication and cipher mechanisms, and evaluated their performances and their applicability to business fields such as an auction system by mobile agents.

  15. The ABC Adaptive Fusion Architecture

    Bunde-Pedersen, Jonathan; Mogensen, Martin; Bardram, Jakob Eyvind

    2006-01-01

    Contemporary distributed collaborative systems tend to utilizeeither a client-server or a pure peer-to-peer paradigm. Aclient-server solution may potentially spawn direct connectionsbetween the clients to offload the server thereby creatinga hybrid architecture. A pure peer-to-peer paradigmmay on...

  16. Intelligent Virtual Agents Architecture in Unknown Environment

    Jiangfan Feng

    2012-11-01

    Full Text Available As the contemporary performing behavior in the reciprocity of virtual agents is glazed excessively and can't satisfy complex unknown environment, the research of Intelligent Virtual Agents (IVA with active learning and local apperception must be accelerated. In this paper, we design and implement a new IVA system architecture, for which active learning and local apperceive interaction were approached. Active learning using knowledge acquisition and knowledge evolution improved the self-regulation of behavior mechanism significantly, while local apperceive interaction could sense disturbances of the simulated environment and interactively communicate with other simulated agents within perception dimension effectively. Ultimately, the experimental result provides effectiveness and practicability of the performance in our prototype IVA system.

  17. Architecture Adaptation Based on Belief Inaccuracy Estimation

    Ali, R.A.; Bureš, Tomáš; Gerostathopoulos, I.; Keznikl, Jaroslav; Plášil, F.

    Piscataway: IEEE Computer Society, 2014, s. 87-90. ISBN 978-1-4799-3412-6. [WICSA 2014. Working IEEE/IFIP Conference on Software Architecture /14./. Sydney (AU), 07.04.2014-11.04.2014] EU Projects: European Commission(XE) ASCENS 257414 Grant ostatní: FP7-PEOPLE-2010-ITN(XE) grant agreement n°264840 Keywords : belief * component architectures * cyber-physical systems * self-adaptivity * state-space models Subject RIV: JC - Computer Hardware ; Software

  18. Multi Agent Architecture for Search Engine

    Disha Verma

    2016-03-01

    Full Text Available The process of retrieving information is becoming ambiguous day by day due to huge collection of documents present on web. A single keyword produces millions of results related to given query but these results are not up to user expectations. The search results produced from traditional text search engines may be relevant or irrelevant. The underlying reason is Web documents are HTML documents that do not contain semantic descriptors and annotations. The paper proposes multi agent architecture to produce fewer but personalized results. The purpose of the research is to provide platform for domain specific personalized search. Personalized search allows delivering web pages in accordance with user’s interest and domain. The proposed architecture uses client side as well server side personalization to provide user with personalized fever but more accurate results. Multi agent search engine architecture uses the concept of semantic descriptors for acquiring knowledge about given domain and leading to personalized search results. Semantic descriptors are represented as network graph that holds relationship between given problem in form of hierarchy. This hierarchical classification is termed as Taxonomy.

  19. Biomorphic Multi-Agent Architecture for Persistent Computing

    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.

  20. A computational architecture for social agents

    Bond, A.H. [California Institute of Technology, Pasadena, CA (United States)

    1996-12-31

    This article describes a new class of information-processing models for social agents. They axe derived from primate brain architecture, the processing in brain regions, the interactions among brain regions, and the social behavior of primates. In another paper, we have reviewed the neuroanatomical connections and functional involvements of cortical regions. We reviewed the evidence for a hierarchical architecture in the primate brain. By examining neuroanatomical evidence for connections among neural areas, we were able to establish anatomical regions and connections. We then examined evidence for specific functional involvements of the different neural axeas and found some support for hierarchical functioning, not only for the perception hierarchies but also for the planning and action hierarchy in the frontal lobes.

  1. A Multi-Agent System Architecture for Sensor Networks

    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.

  2. Multiple-Morphs Adaptive Stream Architecture

    Mei Wen; Nan Wu; Hai-Yan Li; Chun-Yuan Zhang

    2005-01-01

    In modern VLSI technology, hundreds of thousands of arithmetic units fit on a 1cm2 chip. The challenge is supplying them with instructions and data. Stream architecture is able to solve the problem well. However, the applications suited for typical stream architecture are limited. This paper presents the definition of regular stream and irregular stream,and then describes MASA (Multiple-morphs Adaptive Stream Architecture) prototype system which supports different execution models according to applications' stream characteristics. This paper first discusses MASA architecture and stream model, and then explores the features and advantages of MASA through mapping stream applications to hardware.Finally MASA is evaluated by ten benchmarks. The result is encouraging.

  3. Adaptive algebraic multigrid on SIMD architectures

    Heybrock, Simon; Georg, Peter; Wettig, Tilo

    2015-01-01

    We present details of our implementation of the Wuppertal adaptive algebraic multigrid code DD-$\\alpha$AMG on SIMD architectures, with particular emphasis on the Intel Xeon Phi processor (KNC) used in QPACE 2. As a smoother, the algorithm uses a domain-decomposition-based solver code previously developed for the KNC in Regensburg. We optimized the remaining parts of the multigrid code and conclude that it is a very good target for SIMD architectures. Some of the remaining bottlenecks can be eliminated by vectorizing over multiple test vectors in the setup, which is discussed in the contribution of Daniel Richtmann.

  4. Multi-Agent Based PGP Architecture

    Babak Nouri-Moghaddam

    2014-03-01

    Full Text Available Pretty Good Privacy (PGP is a package for securing emails, files communications. It is an open-source package, which is available online for users. PGP provides some of the most important security services like Authentication, Confidentiality, and Integrity. PGP Also applies compression techniques for compressing messages and reducing their size. Also it uses Radix-64 encoding/decoding scheme for email compatibility. The classic PGP has been formed by independent components and uses a hierarchal structure in which each component is responsible for providing one of the services or features in PGP. This hierarchal structure forces all the components, even the independent ones to be executed in a linear way. Because of this structure, each component waits idle for long a time. As a result, the classic PGP has low performance and high execution time. By studying this structure, we find out that we can redesign the architecture by using Multi-Agent systems to eliminate bottlenecks. With this new design, we can achieve higher performance and faster execution time than the classic PGP. In the proposed scheme, each Agent handles one of the PGP's components and in the implementation semaphores will be used to handle each agent. By using this technique, we will have concurrency between the agents and as a result the idle time will decrease and the proposed scheme will get higher performance and lower execution time than the classic PGP. The experimental results show that our scheme runs 30% faster than the classic PGP with different configurations of computer hardware.

  5. ENTERPRISE INFORMATION ARCHITECTURE VALUE OPTIMIZATION USING INTELLIGENT AGENTS

    Radu-Ioan MOGOª

    2010-01-01

    This paper presents a description of the Enterprise Architecture, the benefits of its use and its key issues. Enterprise Information Architecture is also described and the value that represents in the economic field. Based on the general architecture of the Enterprise Information Architecture was developed a case study containing a data stream that describes the steps required of a financial transaction. In the Enterprise Information Architecture model an argument-based intelligent agent is p...

  6. The Foundation for Application of Multi-Agent Technology In a Holonic Shop Floor Control Architecture

    Langer, Gilad; Bilberg, Arne

    1997-01-01

    system control. The work is based on a theoretical study of new manufacturing systems theories, research of agent multi-agent technology, and two case studies. It is part of a larger research project which aims at developing a multi-cell control architecture based on the Holonic Manufacturing System...... applying simulation and cell control enabling technologies. In order to continue this research effort new concepts and theories for shop floor control are investigated. This article presents an overview of the multi-agent concept based on a literature study. This is followed by an investigation regarding...... the adaptation and development of shop floor control architectures. The adaptation is aimed at providing a sound foundation for application of multi-agent technology. This will include a summary of the ongoing research on HMS, and current results regarding the development of a holonic SFC architecture...

  7. A Loosely Coupled Control Architecture Based on Agent and CORBA for Multiple Robots

    Wu Shandong(吴山东); Chen Yimin; He Yongyi

    2003-01-01

    With the rapid development of information technology, adopting advanced distributed computing technology to construct robot control system is becoming an effective approach gradually. This paper proposes a distributed loosely coupled software architecture based on Agent and CORBA to control multiple robots. This model provides the robot user with agent control units at the semantic level and CORBA provides function interfaces to agent at the syntax level, which shows a good adaptability, flexibility and transparence.

  8. Specialized Multicore Architectures Supporting Efficient Multi-Agent Simulations

    Wolfgang Heenes

    2011-07-01

    Full Text Available Two new multiprocessor architectures to accelerate the simulation of multi-agent systems based on the massively parallel GCA (Global Cellular Automata model are presented. The GCA model is suited to describe and simulate different multi-agent systems. The designed and implemented architectures mainly consist of a set of processors (NIOS II and a network. The multiprocessor systems allow the implementation in a flexible way through programming, thus simulating different behaviors on the same architecture. Two architectures, one with up to 16 processors, were implemented on an FPGA. The first architecture uses hardware hash functions in order to reduce the overall simulation time, but lacks scalability. The second architecture uses an agent memory and a cell field memory. This improves the scalability and further increases the performance.

  9. A practical situation based agent architecture for social simulations

    Alt, Jonathan K.; Baez, Francisco; Darken, Christian J.

    2011-01-01

    The concept of situation is central to the decision making processes of both human and software agents. The recognition of situation facilitates decision processes that ultimately result in action selection. Cognitive agent architectures that incorporate the concept of situation provide the opportunity for more sophisticated representation of human behavior and for more sophisticated decision support applications. This paper provides an overview of a general cognitive architecture for use ...

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

    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.

  11. Multi-agent Architecture Model for Driving Mobile Manipulator Robots

    Hentout, A.; Bouzouia, B.; Z. Toukal

    2008-01-01

    In this article, we present generic hierarchical behavior-based architecture model for driving mobile manipulator robots. Two behaviors are of high-level. They constitute the Supervisory agent, which manages the global system. Two others are of intermediate-level and finally one behavior is of low-level. These last ones constitute the Mobile Robot agent and the Manipulator Robot agent controlling, respectively, the mobile base and the manipulator arm. The choice of the suggest...

  12. Model-Drive Architecture for Agent-Based Systems

    Gradanin, Denis; Singh, H. Lally; Bohner, Shawn A.; Hinchey, Michael G.

    2004-01-01

    The Model Driven Architecture (MDA) approach uses a platform-independent model to define system functionality, or requirements, using some specification language. The requirements are then translated to a platform-specific model for implementation. An agent architecture based on the human cognitive model of planning, the Cognitive Agent Architecture (Cougaar) is selected for the implementation platform. The resulting Cougaar MDA prescribes certain kinds of models to be used, how those models may be prepared and the relationships of the different kinds of models. Using the existing Cougaar architecture, the level of application composition is elevated from individual components to domain level model specifications in order to generate software artifacts. The software artifacts generation is based on a metamodel. Each component maps to a UML structured component which is then converted into multiple artifacts: Cougaar/Java code, documentation, and test cases.

  13. A Rigorous Architectural Approach to Adaptive Software Engineering

    Jeff Kramer; Jeff Magee

    2009-01-01

    The engineering of distributed adaptive software is a complex task which requires a rigorous approach. Software architectural (structural) concepts and principles are highly beneficial in specifying, designing, analysing, constructing and evolving distributed software. A rigorous architectural approach dictates formalisms and techniques that are compositional,components that are context independent and systems that can be constructed and evolved incrementally. This paper overviews some of the underlying reasons for adopting an architectural approach, including a brief "rational history" of our research work, and indicates how an architectural model can potentially facilitate the provision of self-managed adaptive software system.

  14. Multi-agent Architecture Model for Driving Mobile Manipulator Robots

    A. Hentout

    2008-11-01

    Full Text Available In this article, we present generic hierarchical behavior-based architecture model for driving mobile manipulator robots. Two behaviors are of high-level. They constitute the Supervisory agent, which manages the global system. Two others are of intermediate-level and finally one behavior is of low-level. These last ones constitute the Mobile Robot agent and the Manipulator Robot agent controlling, respectively, the mobile base and the manipulator arm. The choice of the suggested model is justified by the generic character of the proposed agent model and by the possibility of integrating the whole in a distributed robotic system. The model is formalized in Agent UML from the conceptual level to the implementation level. The interaction between the various agents is modeled by the use of the interaction diagrams of Agent UML (states and protocol diagrams.

  15. Pattern Based Adaptive Architecture for Internet Banking

    Meiappane, A.; Venkatesan, V. Prasanna; Jegatheeswari, V.; B.Kalpana; Sarumathy, U.

    2013-01-01

    Pattern plays a vital role in software architecture and it is a general reusable solution to commonly occurring problem. Software architecture of a system is the set of structures needed to reason about the system, which comprise software elements, relations among them, and properties of both. Patterns can be implemented at run-time; they identify key resource constraints and best practices. Architecture Pattern expresses a fundamental structural organization or schema for software systems. P...

  16. Scalable, distributed data mining using an agent based architecture

    Kargupta, H.; Hamzaoglu, I.; Stafford, B.

    1997-05-01

    Algorithm scalability and the distributed nature of both data and computation deserve serious attention in the context of data mining. This paper presents PADMA (PArallel Data Mining Agents), a parallel agent based system, that makes an effort to address these issues. PADMA contains modules for (1) parallel data accessing operations, (2) parallel hierarchical clustering, and (3) web-based data visualization. This paper describes the general architecture of PADMA and experimental results.

  17. Agent Architecture and Collaboration for Supply Chain Management

    GAO Lin; WANG Runxiao; SHENG Yijun; HU Zhiqing

    2006-01-01

    Recently multi-agent system (MAS) is regarded as a powerful paradigm to develop and simulate complex system. Because supply chain (SC) is a complex network, it is hard to improve supply chain management (SCM) efficiency and automate SC operating process. Researchers have applied MAS in SCM viewing enterprises in SC as different functional agents collaborating to achieve common goal. In this paper a MAS-based supply chain management framework (MSF) is developed on which agents can collaborate to conduct business activities of enterprises and customers. Six kinds of functional agents are designed, namely, management agent, order receiving agent, order decomposing agent, resource agent, manufacturing-controlling agent and transportation agent. Through the agents' collaboration the MSF can support SC dynamic forming and operating process. For partner selection the method to transmit customers' order into demand matrix, and transmit enterprise's resource capacity into resource matrix is described in detail. The MSF users decide which algorithm to be applied in matching the two matrixes, and algorithms are stored in model base. Finally the generic agent architecture is put forward.

  18. Agent-based Personal Network (PN) service architecture

    Jiang, Bo; Olesen, Henning

    2004-01-01

    In this paper we proposte a new concept for a centralized agent system as the solution for the PN service architecture, which aims to efficiently control and manage the PN resources and enable the PN based services to run seamlessly over different networks and devices. The working principle...

  19. An Analysis Architecture for Communications in Multi-agent Systems

    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.

  20. Multi-Agent and Service Oriented Architectures for Intelligent Tutoring System Development

    Lavendelis, E; Bicāns, J

    2011-01-01

    Traditional modular architecture of Intelligent Tutoring Systems (ITSs) does not provide sufficient modularity of complex ITSs. Distributed technologies like services and agents are used to increase modularity of ITSs by implementing traditional modules as sets of services or agents. The paper describes holonic agent architecture that implements each module as one or more holonic agents. It uses the lessons learned from the multi-agent architecture to propose service oriented ITS architecture.

  1. UML MODELING AND SYSTEM ARCHITECTURE FOR AGENT BASED INFORMATION RETRIEVAL

    D. Muhammad Noorul Mubarak

    2015-12-01

    Full Text Available In this current technological era, there is an enormous increase in the information available on web and also in the online databases. This information abundance increases the complexity of finding relevant information. To solve such challenges, there is a need for improved and intelligent systems for efficient search and retrieval. Intelligent Agents can be used for better search and information retrieval in a document collection. The information required by a user is scattered in a large number of databases. In this paper, the object oriented modeling for agent based information retrieval system is presented. The paper also discusses the framework of agent architecture for obtaining the best combination terms that serve as an input query to the information retrieval system. The communication and cooperation among the agents are also explained. Each agent has a task to perform in information retrieval.

  2. An Agent-Mediated Architecture for Collective Collaborative Design

    Rafik Hadfi

    2015-03-01

    Full Text Available The expansion of the Internet has changed the way business models are conceived. In addition, several e-commerce models were built for a wide range of applications. Due to the proliferation of advanced and efficient techno-logies, individuals are using more interactive and rich Internet applications. At the same time, Multi-agent Systems have shown their efficiency to solve complex problems and to deal with situations where the collaboration between heterogeneous agents is needed. Collaboration among auton-omous agents represents an important and challenging field of study, since most of the business models can be adopted and implemented according to this architecture. In this paper, we will develop a collaborative architecture for 3D design, based on the collaboration of an agent and a human. With the guidance of the agent, the user will parametrically design the product using a 3D environment. After the design phase, the agent will submit the design as a contract. A mediator will collect the submitted model(s, and a final model will be chosen based on a particular strategy. We also investigate the possible representations of a specific type of contracts as to represent 3D objects. We note the existing interplay between different types of attributes and therefore establish new assumptions related to general contracts modeling

  3. Conceptual service architecture for adaptive mobile location services

    Schou, Saowanee

    This paper presents a conceptual service architecture for adaptive mobile location services designed to be used on the next generation wireless network. The developed service architecture consists of a set of concepts, principles, rules and guidelines for constructing, deploying, and operating the...... mobile location services. The service architecture identifies the components required to build the mobile location services and describes how these components are combined and how they should interact. As a means of exploring the developed conceptual service architecture, an illustrative case study of a...... new-concept tracking service is chosen to demonstrate the applicability of the architecture. Through the case study, the service request and response processes will be illustrated. New possible service functions provided by the developed service architecture will be examined and discussed in...

  4. Active materials for adaptive architectural envelopes based on plant adaptation principles

    Marlen Lopez; Ramon Rubio; Santiago Martın; Ben Croxford; Richard Jackson

    2015-01-01

    In this paper, the authors present research into adaptive architectural envelopes that adapt to environmental changes using active materials, as a result of application of biomimetic principles from plants to architecture. Buildings use large amounts of energy in order to maintain their internal comfort, because conventional buildings are designed to provide a static design solution. Most of the current solutions for facades are not designed for optimum adaptation to contextual issues and nee...

  5. The architectural foundations for agent-based shop floor control

    Langer, Gilad; Bilberg, Arne

    1998-01-01

    The emerging theory regardingHolonic Manufacturing Systems (HMS) presents a advantageoustheoretical foundation for the control system of themanufacturing system of the future. Previous research, at theDepartment, has demonstrated how company tailored shop floorcontrol can be developed by applying...... the HoMuCS architecture can berealised by using multi-agent technology,and that it is also therequired foundation for implementation of agent technology inmanufacturing system control. The work is based on a theoreticalstudy of new manufacturing system theories, research of agent and multi...... simulation and cell controlenabling technologies. In order to continuethis research effortnew concepts and theories for shop floor control are investigated.This paper reviews the multi-agent concept aimed at investigatingits potential use in shop floor control systems. The paper willalso include a survey of...

  6. Design of A Multi-Agent System Architecture for the Scrum Methodology

    Vishwaduthsingh Gunga

    2013-07-01

    Full Text Available The objective of this paper is to design a multi-agent system architecture for the Scrum methodology.Scrum is an iterative, incremental framework for software development which is flexible, adaptable andhighly productive. An agent is a system situated within and a part of an environment that senses theenvironment and acts on it, over time, in pursuit of its own agenda and so as to effect what it senses in thefuture (Franklin and Graesser, 1996. To our knowledge, this is first attempt to include software agents inthe Scrum framework. Furthermore, our design covers all the stages of software development. Alternativeapproaches were only restricted to the analysis and design phases. This Multi-Agent System (MASArchitecture for Scrum acts as a design blueprint and a baseline architecture that can be realised into aphysical implementation by using an appropriate agent development framework. The development of anexperimental prototype for the proposed MAS Architecture is in progress. It is expected that this tool willprovide support to the development team who will no longer be expected to report, update and managenon-core activities daily.

  7. Enhanced risk management by an emerging multi-agent architecture

    Lin, Sin-Jin; Hsu, Ming-Fu

    2014-07-01

    Classification in imbalanced datasets has attracted much attention from researchers in the field of machine learning. Most existing techniques tend not to perform well on minority class instances when the dataset is highly skewed because they focus on minimising the forecasting error without considering the relative distribution of each class. This investigation proposes an emerging multi-agent architecture, grounded on cooperative learning, to solve the class-imbalanced classification problem. Additionally, this study deals further with the obscure nature of the multi-agent architecture and expresses comprehensive rules for auditors. The results from this study indicate that the presented model performs satisfactorily in risk management and is able to tackle a highly class-imbalanced dataset comparatively well. Furthermore, the knowledge visualised process, supported by real examples, can assist both internal and external auditors who must allocate limited detecting resources; they can take the rules as roadmaps to modify the auditing programme.

  8. A software architecture centric self-adaptation approach for Internetware

    MEI Hong; HUANG Gang; LAN Ling; LI JunGuo

    2008-01-01

    Being one of the basic features of Internetware, self-adaptation means that the software system can monitor its runtime state and behavior and adjust them when necessary according to pre-defined policies. Focusingon the three fundamental issues of self-adaptation, including the scope, operability and trustworthiness, a software architecture (SA) centric approach for Internetware's self-adaptation is presented in this paper. All of the self-adaptive actions, i.e. monitoring, analyzing, planning and executing, are performed based on SA. In detail, runtime state and behavior of Internetware are represented and changed in the form of runtime soft-ware architecture. The knowledge for self-adaptation is captured, organized and reasoned in the form of SA so that automatic analysis and decision-making are achieved.

  9. Evaluating Architecture Implementation Alternatives based on Adaptibility Concerns

    Aksit, Mehmet; Tekinerdogan, Bedir

    1999-01-01

    Software is rarely designed for ultimate adaptability, performance or reusability but rather it is a compromise of multiple considerations. Even for a simple architecture specification, one may identify many alternative implementations. This paper makes an attempt to depict the space of implementation alternatives of architectures, and to define rules for selecting them. The applicability of this approach is illustrated by means of a simple design problem.

  10. A Multi-Agent Architecture for an Intelligent Website in Insurance

    Jonker, C.M.; Lam, R.A.; Treur, J.

    1999-01-01

    In this paper a multi-agent architecture for intelligent Websites is presented and applied in insurance. The architecture has been designed and implemented using the compositional development method for multi-agent systems DESIRE. The agents within this architecture are based on a generic broker age

  11. Service Oriented Architecture for Business Dynamics: An Agent Based Business Modeling Approach

    O. P. Rishi

    2009-01-01

    Full Text Available In today's rapidly changing environment the industries areinterested in executing business functions that has scope inmultiple applications. Business dynamics and technologicalinnovations have felt organizations to comply with adisparate mix of operating systems, applications anddatabases. This makes it difficult, time-consuming and costlyfor IT departments to deliver new applications that integrateheterogeneous technologies. It demands high interoperabilityand more flexible and adaptive business processmanagement. The inclination is to have systems assembled,from a loosely coupled collection of Web services, which areuniversal and integrated. This technical area appears tohave scope where the Agent Technology can be exploitedwith significant advantages. With Service OrientedArchitecture a decomposable architecture, and associatedset of development and IT management disciplines,composed of loosely coupled services communicating viapre-established protocols, these services can be assembledad-hoc to form customized applications that address a widevariety of business requirements.In the present paper, we propose a conceptual frameworkfor agent-based Service Oriented Architecture (SOA. Inwhich we try to integrate Service Oriented Architecture withthe agent technology & other tactical technologies like webservices, business workflow services, Business meta-rules,search optimization of services and semantic Webtechnology for business service mappings.

  12. A Flexible and Reliable Architecture for Mobile Agent Security

    Ghossoon M.W. Al-Saadoon

    2009-01-01

    Full Text Available Problem statement: Wireless application protocol is a protocol that makes it possible to surf the Internet from a cellular phone or other handheld wireless. Many of us that surf the Internet from home with a 56 kbps modem think that it is slow and a cell phone only uses 9.6 kbps so WAP has to take the lesser bandwidth into consideration. For this reason, this study proposed a flexible and reliable system to be implemented by using the characteristic of agents “mobile agent” through wireless application protocol for identification of distributed Intruder. The problem appears when the limitation of data transfer when the distributed systems are used (which includes the heterogeneous database through internet. For this reason the suggested approach will be the solution to the problem of WAP for mobile agent. Approach: The purpose of this study was to present the ability for dispatch mobile agent from a host to carry out operations directly to the remote point of interest, thus agent’s scans provide an appropriate response which is faster than a hierarchical IDS that communicates with a central coordinator based elsewhere on the network. Results: The methodology was used in order to understand the mobile agent mechanism and will introduce the distributed computing mechanisms that are intended for large scale distributed systems. Since the distributed security agent models system was built using mobile agent and net, this will develop small applications for data stores, like sequential query language server. The method used the algorithms built refer to each part of the structure and the rules that implemented (users and the security agent system roles. The result was simulating the intended for business roles for both commercial and government modules, which included the solution to the problem and to architecture to be more flexible and reliable. Conclusion/Recommendations: One of main conclusion for the mobile agent used WAP protocol: To make

  13. Control Architecture for Robotic Agent Command and Sensing

    Huntsberger, Terrance; Aghazarian, Hrand; Estlin, Tara; Gaines, Daniel

    2008-01-01

    Control Architecture for Robotic Agent Command and Sensing (CARACaS) is a recent product of a continuing effort to develop architectures for controlling either a single autonomous robotic vehicle or multiple cooperating but otherwise autonomous robotic vehicles. CARACaS is potentially applicable to diverse robotic systems that could include aircraft, spacecraft, ground vehicles, surface water vessels, and/or underwater vessels. CARACaS incudes an integral combination of three coupled agents: a dynamic planning engine, a behavior engine, and a perception engine. The perception and dynamic planning en - gines are also coupled with a memory in the form of a world model. CARACaS is intended to satisfy the need for two major capabilities essential for proper functioning of an autonomous robotic system: a capability for deterministic reaction to unanticipated occurrences and a capability for re-planning in the face of changing goals, conditions, or resources. The behavior engine incorporates the multi-agent control architecture, called CAMPOUT, described in An Architecture for Controlling Multiple Robots (NPO-30345), NASA Tech Briefs, Vol. 28, No. 11 (November 2004), page 65. CAMPOUT is used to develop behavior-composition and -coordination mechanisms. Real-time process algebra operators are used to compose a behavior network for any given mission scenario. These operators afford a capability for producing a formally correct kernel of behaviors that guarantee predictable performance. By use of a method based on multi-objective decision theory (MODT), recommendations from multiple behaviors are combined to form a set of control actions that represents their consensus. In this approach, all behaviors contribute simultaneously to the control of the robotic system in a cooperative rather than a competitive manner. This approach guarantees a solution that is good enough with respect to resolution of complex, possibly conflicting goals within the constraints of the mission to

  14. Adaptive media content architecture regarding users capabilities

    Cuenca Gil, David

    2009-01-01

    Nowadays, it's common that each user has different capabilities and each media content has different requirements. So, in this project will be studied and implement a first approach how to adapt media content stored in repositories to users capabilities. Different kinds of video content will be studied, and how their requirements can be changed with a good subjective quality for the user. Depending on the kind of content, different types of changes could be done in order to decrease the video...

  15. Adaptive fault-tolerant architecture for unreliable device technologies

    Aymerich Capdevila, Nivard; Cotofana, Sorin; Rubio Sola, Jose Antonio

    2011-01-01

    This paper introduces an efficient adaptive redundant architecture, which makes use of the averaging cell (AVG) principle in order to improve the reliability of nanoscale circuits and systems. We define an adaptive averaging cell structure (AD-AVG) that is able to cope with non-homogeneous variability and time-varying effects like degradation and external aggressions, which are expected to be a key limiting factor in future technologies. In order to achieve this goal the AD-AVG relies on the ...

  16. Mitigation/Adaptation: landscape architecture meets sustainable energy transition

    Stremke, S.

    2009-01-01

    Mitigation of climate change and adaptation to renewable energy sources are among the emerging fields of activity in landscape architecture. If landscape architects recognize the need for sustainable development on the basis of renewable energy sources, then how can we contribute to sustainable and aesthetic transformation of the human environment?

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

    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.

  18. Intelligent agents: adaptation of autonomous bimodal microsystems

    Smith, Patrice; Terry, Theodore B.

    2014-03-01

    Autonomous bimodal microsystems exhibiting survivability behaviors and characteristics are able to adapt dynamically in any given environment. Equipped with a background blending exoskeleton it will have the capability to stealthily detect and observe a self-chosen viewing area while exercising some measurable form of selfpreservation by either flying or crawling away from a potential adversary. The robotic agent in this capacity activates a walk-fly algorithm, which uses a built in multi-sensor processing and navigation subsystem or algorithm for visual guidance and best walk-fly path trajectory to evade capture or annihilation. The research detailed in this paper describes the theoretical walk-fly algorithm, which broadens the scope of spatial and temporal learning, locomotion, and navigational performances based on optical flow signals necessary for flight dynamics and walking stabilities. By observing a fly's travel and avoidance behaviors; and, understanding the reverse bioengineering research efforts of others, we were able to conceptualize an algorithm, which works in conjunction with decisionmaking functions, sensory processing, and sensorimotor integration. Our findings suggest that this highly complex decentralized algorithm promotes inflight or terrain travel mobile stability which is highly suitable for nonaggressive micro platforms supporting search and rescue (SAR), and chemical and explosive detection (CED) purposes; a necessity in turbulent, non-violent structured or unstructured environments.

  19. Multi-agents architecture for supply chain management

    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...

  20. MORPH: A Reference Architecture for Configuration and Behaviour Self-Adaptation

    Braberman, Victor; D'Ippolito, Nicolas; Kramer, Jeff; Sykes, Daniel; Uchitel, Sebastian

    2015-01-01

    An architectural approach to self-adaptive systems involves runtime change of system configuration (i.e., the system's components, their bindings and operational parameters) and behaviour update (i.e., component orchestration). Thus, dynamic reconfiguration and discrete event control theory are at the heart of architectural adaptation. Although controlling configuration and behaviour at runtime has been discussed and applied to architectural adaptation, architectures for self-adaptive systems...

  1. Architecture for Intrusion Detection System with Fault Tolerance Using Mobile Agent

    Chintan Bhatt; Asha Koshti; Hemant Agrawal; Zakiya Malek; Bhushan Trivedi

    2011-01-01

    This paper is a survey of the work, done for making an IDS fault tolerant.Architecture of IDS that usesmobile Agent provides higher scalability. Mobile Agent uses Platform for detecting Intrusions using filterAgent, co-relater agent, Interpreter agent and rule database. When server (IDS Monitor) goes down,other hosts based on priority takes Ownership. This architecture uses decentralized collection andanalysis for identifying Intrusion. Rule sets are fed based on user-behaviour or application...

  2. Research on the Adaptive Object-Model Architecture Style

    YAO Hai-qiong; NI Gui-qiang

    2004-01-01

    The rapidly changing requirements and business rules stimulate software developers to make their applications more dynamic, configurable, and adaptable. An effective way to meet such requirements is to apply an adaptive object-model (AOM). The AOM architecture style is composed of metamodel, model engine and tools. Firstly, two small patterns for building up metamodel are analyzed in detail. Then model engine for interpreting metamodel and tools for end-uses to define and configure object models are discussed. Finally, a novel platform-applicationware-is proposed.

  3. An adaptive service oriented architecture : Automatically solving interoperability problems

    Hiel, M.

    2010-01-01

    Organizations desire to be able to easily cooperate with other companies and still be flexible. The IT infrastructure used by these companies should facilitate these wishes. Service-Oriented Architecture (SOA) and Autonomic Computing (AC) were introduced in order to realize such an infrastructure, however both have their shortcomings and do not fulfil these wishes. This dissertation addresses these shortcomings and presents an approach for incorporating (self-) adaptive behavior in (Web) serv...

  4. Active materials for adaptive architectural envelopes based on plant adaptation principles

    Marlen Lopez

    2015-06-01

    Full Text Available In this paper, the authors present research into adaptive architectural envelopes that adapt to environmental changes using active materials, as a result of application of biomimetic principles from plants to architecture. Buildings use large amounts of energy in order to maintain their internal comfort, because conventional buildings are designed to provide a static design solution. Most of the current solutions for facades are not designed for optimum adaptation to contextual issues and needs, while biological solutions to adaptation are often complex, multi-functional and highly responsive. We focus on plant adaptations to the environment, as, due to their immobility, they have developed special means of protection against weather changing conditions. Furthermore, recent developments in new technologies are allowing the possibility to transfer these plant adaptation strategies to technical implementation. These technologies include: multi-material 3D printing, advances in materials science and new capabilities in simulation software. Unlike traditional mechanical activation used for dynamic systems in kinetic facades, adaptive architectural envelopes require no complex electronics, sensors, or actuators. The paper proposes a research of the relationship that can be developed between active materials and environmental issues in order to propose innovative and low-tech design strategies to achieve living envelopes according to plant adaptation principles.  

  5. Adaptive Load Balancing: A Study in Multi-Agent Learning

    Schaerf, A.; Shoham, Y; Tennenholtz, M.

    1995-01-01

    We study the process of multi-agent reinforcement learning in the context of load balancing in a distributed system, without use of either central coordination or explicit communication. We first define a precise framework in which to study adaptive load balancing, important features of which are its stochastic nature and the purely local information available to individual agents. Given this framework, we show illuminating results on the interplay between basic adaptive behavior parameters a...

  6. The genetic architecture of climatic adaptation of tropical cattle.

    Laercio R Porto-Neto

    Full Text Available Adaptation of global food systems to climate change is essential to feed the world. Tropical cattle production, a mainstay of profitability for farmers in the developing world, is dominated by heat, lack of water, poor quality feedstuffs, parasites, and tropical diseases. In these systems European cattle suffer significant stock loss, and the cross breeding of taurine x indicine cattle is unpredictable due to the dilution of adaptation to heat and tropical diseases. We explored the genetic architecture of ten traits of tropical cattle production using genome wide association studies of 4,662 animals varying from 0% to 100% indicine. We show that nine of the ten have genetic architectures that include genes of major effect, and in one case, a single location that accounted for more than 71% of the genetic variation. One genetic region in particular had effects on parasite resistance, yearling weight, body condition score, coat colour and penile sheath score. This region, extending 20 Mb on BTA5, appeared to be under genetic selection possibly through maintenance of haplotypes by breeders. We found that the amount of genetic variation and the genetic correlations between traits did not depend upon the degree of indicine content in the animals. Climate change is expected to expand some conditions of the tropics to more temperate environments, which may impact negatively on global livestock health and production. Our results point to several important genes that have large effects on adaptation that could be introduced into more temperate cattle without detrimental effects on productivity.

  7. The genetic architecture of climatic adaptation of tropical cattle.

    Porto-Neto, Laercio R; Reverter, Antonio; Prayaga, Kishore C; Chan, Eva K F; Johnston, David J; Hawken, Rachel J; Fordyce, Geoffry; Garcia, Jose Fernando; Sonstegard, Tad S; Bolormaa, Sunduimijid; Goddard, Michael E; Burrow, Heather M; Henshall, John M; Lehnert, Sigrid A; Barendse, William

    2014-01-01

    Adaptation of global food systems to climate change is essential to feed the world. Tropical cattle production, a mainstay of profitability for farmers in the developing world, is dominated by heat, lack of water, poor quality feedstuffs, parasites, and tropical diseases. In these systems European cattle suffer significant stock loss, and the cross breeding of taurine x indicine cattle is unpredictable due to the dilution of adaptation to heat and tropical diseases. We explored the genetic architecture of ten traits of tropical cattle production using genome wide association studies of 4,662 animals varying from 0% to 100% indicine. We show that nine of the ten have genetic architectures that include genes of major effect, and in one case, a single location that accounted for more than 71% of the genetic variation. One genetic region in particular had effects on parasite resistance, yearling weight, body condition score, coat colour and penile sheath score. This region, extending 20 Mb on BTA5, appeared to be under genetic selection possibly through maintenance of haplotypes by breeders. We found that the amount of genetic variation and the genetic correlations between traits did not depend upon the degree of indicine content in the animals. Climate change is expected to expand some conditions of the tropics to more temperate environments, which may impact negatively on global livestock health and production. Our results point to several important genes that have large effects on adaptation that could be introduced into more temperate cattle without detrimental effects on productivity. PMID:25419663

  8. Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing

    Mishra, Nishikant; Singh, Akshit; Kumari, Sushma;

    2016-01-01

    this article, a self-reactive cloud-based multi-agent architecture for distributed manufacturing system is developed. The proposed architecture will assist manufacturing industry to establish real-time information exchange between the autonomous agents, clients, suppliers and manufacturing unit. The...

  9. L1 adaptive output-feedback control architectures

    Kharisov, Evgeny

    This research focuses on development of L 1 adaptive output-feedback control. The objective is to extend the L1 adaptive control framework to a wider class of systems, as well as obtain architectures that afford more straightforward tuning. We start by considering an existing L1 adaptive output-feedback controller for non-strictly positive real systems based on piecewise constant adaptation law. It is shown that L 1 adaptive control architectures achieve decoupling of adaptation from control, which leads to bounded away from zero time-delay and gain margins in the presence of arbitrarily fast adaptation. Computed performance bounds provide quantifiable performance guarantees both for system output and control signal in transient and steady state. A noticeable feature of the L1 adaptive controller is that its output behavior can be made close to the behavior of a linear time-invariant system. In particular, proper design of the lowpass filter can achieve output response, which almost scales for different step reference commands. This property is relevant to applications with human operator in the loop (for example: control augmentation systems of piloted aircraft), since predictability of the system response is necessary for adequate performance of the operator. Next we present applications of the L1 adaptive output-feedback controller in two different fields of engineering: feedback control of human anesthesia, and ascent control of a NASA crew launch vehicle (CLV). The purpose of the feedback controller for anesthesia is to ensure that the patient's level of sedation during surgery follows a prespecified profile. The L1 controller is enabled by anesthesiologist after he/she achieves sufficient patient sedation level by introducing sedatives manually. This problem formulation requires safe switching mechanism, which avoids controller initialization transients. For this purpose, we used an L1 adaptive controller with special output predictor initialization routine

  10. An Intelligent Agent Approach to Adaptive Project Management

    I.Ourdev; H.Xie; S.AbouRizk

    2008-01-01

    This paper presents the initial steps to integrating a distributed discrete event simulation system with a framework for intelligent software agents.The resulting system has a simulation component that is based on the high-level architecture (HLA) and an agent component that implements the belief-desire-intention (BDI) approach to agent modelling.The architecture is connected to a real-time information source.The framework was successfully applied to a real-life monitoring system for a tunnel-boring machine exca-vation project that helped with forecasting and managing the project timelines in response to the changes in the uncertain excavation environment.This project is presented as a test case and demonstrates encourag-ing results for integrative modelling of large-scale problems with elements of uncertainty.

  11. Adaptation and Learning of Agents in Market Oriented Programming

    Ishinishi, Masayuki; Namatame, Akira; Kita, Hajime

    Market Oriented Programming (MOP) proposed by Wellman is a decentralized control method using auction machanism inspired by the market economy. It is applied to many problems such as network and computation resource allocation. Conventional MOP models are formulated based on the concept of ‘competitive market’ of economics which assumes that the market consists of sufficiently many and small agents. However, in realistic applications of MOP, number of agents is limited and their interdependency is not negligible. In this paper, MOP for interdependent agents is discussed. An oligopoly market model for MOP is introduced, and adaptation process of interdependent agents and its stability are discussed. Further, it is also demonstrated that selfish learning of adaptation coefficiency by each agent achieves stability of market through computer simulation.

  12. An architecture and protocol for communications satellite constellations regarded as multi-agent systems

    Lindley, Craig A.

    1995-01-01

    This paper presents an architecture for satellites regarded as intercommunicating agents. The architecture is based upon a postmodern paradigm of artificial intelligence in which represented knowledge is regarded as text, inference procedures are regarded as social discourse and decision making conventions and the semantics of representations are grounded in the situated behaviour and activity of agents. A particular protocol is described for agent participation in distributed search and retrieval operations conducted as joint activities.

  13. Adaptive Strategies for Dynamic Pricing Agents

    Ramezani, Sara; Bosman, Peter; La Poutré, Han

    2011-01-01

    Dynamic Pricing (DyP) is a form of Revenue Management in which the price of a (usually) perishable good is changed over time to increase revenue. It is an effective method that has become even more relevant and useful with the emergence of Internet firms and the possibility of readily and frequently updating prices. In this paper a new approach to DyP is presented. We design adaptive dynamic pricing strategies and optimize their parameters with an Evolutionary Algorithm (EA) offline while the...

  14. Multiple Estimation Architecture in Discrete-Time Adaptive Mixing Control

    Simone Baldi

    2013-05-01

    Full Text Available Adaptive mixing control (AMC is a recently developed control scheme for uncertain plants, where the control action coming from a bank of precomputed controller is mixed based on the parameter estimates generated by an on-line parameter estimator. Even if the stability of the control scheme, also in the presence of modeling errors and disturbances, has been shown analytically, its transient performance might be sensitive to the initial conditions of the parameter estimator. In particular, for some initial conditions, transient oscillations may not be acceptable in practical applications. In order to account for such a possible phenomenon and to improve the learning capability of the adaptive scheme, in this paper a new mixing architecture is developed, involving the use of parallel parameter estimators, or multi-estimators, each one working on a small subset of the uncertainty set. A supervisory logic, using performance signals based on the past and present estimation error, selects the parameter estimate to determine the mixing of the controllers. The stability and robustness properties of the resulting approach, referred to as multi-estimator adaptive mixing control (Multi-AMC, are analytically established. Besides, extensive simulations demonstrate that the scheme improves the transient performance of the original AMC with a single estimator. The control scheme and the analysis are carried out in a discrete-time framework, for easier implementation of the method in digital control.

  15. Adaptive resource allocation architecture applied to line tracking

    Owen, Mark W.; Pace, Donald W.

    2000-04-01

    Recent research has demonstrated the benefits of a multiple hypothesis, multiple model sonar line tracking solution, achieved at significant computational cost. We have developed an adaptive architecture that trades computational resources for algorithm complexity based on environmental conditions. A Fuzzy Logic Rule-Based approach is applied to adaptively assign algorithmic resources to meet system requirements. The resources allocated by the Fuzzy Logic algorithm include (1) the number of hypotheses permitted (yielding multi-hypothesis and single-hypothesis modes), (2) the number of signal models to use (yielding an interacting multiple model capability), (3) a new track likelihood for hypothesis generation, (4) track attribute evaluator activation (for signal to noise ratio, frequency bandwidth, and others), and (5) adaptive cluster threshold control. Algorithm allocation is driven by a comparison of current throughput rates to a desired real time rate. The Fuzzy Logic Controlled (FLC) line tracker, a single hypothesis line tracker, and a multiple hypothesis line tracker are compared on real sonar data. System resource usage results demonstrate the utility of the FLC line tracker.

  16. Interactive navigation of heterogeneous agents using adaptive roadmaps.

    Gayle, Russell; Sud, Avneesh; Andersen, Erik; Guy, Stephen J; Lin, Ming C; Manocha, Dinesh

    2009-01-01

    We present a novel algorithm for collision-free navigation of a large number of independent agents in complex and dynamic environments. We introduce adaptive roadmaps to perform global path planning for each agent simultaneously. Our algorithm takes into account dynamic obstacles and interagents interaction forces to continuously update the roadmap based on a physically-based dynamics simulator. In order to efficiently update the links, we perform adaptive particle-based sampling along the links. We also introduce the notion of 'link bands' to resolve collisions among multiple agents. In practice, our algorithm can perform real-time navigation of hundreds and thousands of human agents in indoor and outdoor scenes. PMID:19008554

  17. Autonomous agents and multi-agent systems explorations in learning, self-organization and adaptive computation

    Liu, Jiming

    2001-01-01

    An autonomous agent is a computational system that acquires sensory data from its environment and decides by itself how to relate the external stimulus to its behaviors in order to attain certain goals. Responding to different stimuli received from its task environment, the agent may select and exhibit different behavioral patterns. The behavioral patterns may be carefully predefined or dynamically acquired by the agent based on some learning and adaptation mechanism(s). In order to achieve structural flexibility, reliability through redundancy, adaptability, and reconfigurability in real-worl

  18. An Autonomous Adaptive Scheduling Agent for Period Searching

    Saunders, Eric S; Allan, Alasdair

    2008-01-01

    We describe the design and implementation of an autonomous adaptive software agent that addresses the practical problem of observing undersampled, periodic, time-varying phenomena using a network of HTN-compliant robotic telescopes. The algorithm governing the behaviour of the agent uses an optimal geometric sampling technique to cover the period range of interest, but additionally implements proactive behaviour that maximises the optimality of the dataset in the face of an uncertain and changing operating environment.

  19. Policy-based Self-Adaptive Media Service Architecture for Reliable Multimedia Service Provisioning

    G. Maria kalavathy; N. Edison Rathinam; P. Seethalakshmi

    2010-01-01

    The main objective of this paper is to design and develop the Self-Adaptive Media Service Architecture (SAMSA) for providing reliable multimedia services through policy-based actions. The distributed multimedia services deployed using SOA can be accessed in heterogeneous environments that are prone to changes during run-time. To provide reliable multimedia services, a powerful self-adaptable architecture is necessary to adapt at run time and react to the environment. The adaptability in this ...

  20. Architectures of adaptive integration in large collaborative projects

    Lois Wright Morton

    2015-12-01

    Full Text Available Collaborations to address complex societal problems associated with managing human-natural systems often require large teams comprised of scientists from multiple disciplines. For many such problems, large-scale, transdisciplinary projects whose members include scientists, stakeholders, and other professionals are necessary. The success of very large, transdisciplinary projects can be facilitated by attending to the diversity of types of collaboration that inevitably occur within them. As projects progress and evolve, the resulting dynamic collaborative heterogeneity within them constitutes architectures of adaptive integration (AAI. Management that acknowledges this dynamic and fosters and promotes awareness of it within a project can better facilitate the creativity and innovation required to address problems from a systems perspective. In successful large projects, AAI (1 functionally meets objectives and goals, (2 uses disciplinary expertise and concurrently bridges many disciplines, (3 has mechanisms to enable connection, (4 delineates boundaries to keep focus but retain flexibility, (5 continuously monitors and adapts, and (6 encourages project-wide awareness. These principles are illustrated using as case studies three large climate change and agriculture projects funded by the U.S. Department of Agriculture-National Institute of Food and Agriculture.

  1. Agent-based Extensions for the UML Profile for Service-Oriented Architectures (UPMS-A)

    2008-01-01

    Service-Oriented Architectures are today’s favorite answer to solve interoperability issues. As various kinds of systems can be used to implement Service-Oriented Architectures, the recent trend is to apply principles of Model-Driven Development by (i) modeling the Service-Oriented Architecture in an abstract manner and (ii) providing model transformations between this abstract specification and the underlying platform specific systems. As such, Multi-Agent Systems (MASs) became very popu...

  2. Combining FIPA Agents and Web Services for the Design of Tailorable Groupware Architecture

    Cheaib, Nader; Otmane, Samir; Mallem, Malik

    2008-01-01

    In this paper, we present a new groupware architectural model called UD3, which is based on the integration of web services technologies with software agents. The aim is to design a tailorable groupware architecture using the integration of both technologies, thus using properties of each while reinforcing their individual strengths. In fact, agent-oriented technology is claimed to become the next breakthrough in the development and implementation of large-scale complex systems, while Web ser...

  3. Formal requirement and architecture specifications of a multi-agent robotic system

    Akhtar, Nadeem; Guyadec, Yann Le; Oquendo, Flavio

    2015-01-01

    One of the most challenging tasks in specification engineering for a multi-agent robotic system is to formally specify and architect the system, especially as a multi-agent robotic system is concurrent having concurrent processing, and often having dynamic environment. The formal requirement and architecture specifications along with step-wise refinement from abstract to concrete concepts play major role in formalizing the system. This paper proposes the formal requirement and architecture sp...

  4. The Usability of Agent-Based Simulation in Decision Support System of E-Commerce Architecture

    ŠPERKA Roman

    2012-02-01

    Full Text Available Electronic commerce (e-commerce has the potential to improve the competitiveness of the enterprises. A decision support system, used in e-commerce, is a term used to describe any software engine that enhances the user’s ability to make decisions. The paper presents a new approach for decision support system modeling. This approach is applied by a modification and extension of existing decision support system architecture by multi-agent technology and agent-based simulation models. Multi-agent technology is one of the fastest growing fields of information and communication technology – new agent-based services, products, and applications are being developed almost every day. Agent-based simulation model is applied to coordinate, control, and simulate the architecture of decision support system, used in e-commerce. The proposed architecture improves the existing decision support systems and gains competitive advantage.

  5. Study on Multi Agent-Based Large Scope Distributed Software Architecture

    WANGYinghui; LIUYu; ZHANGShikun

    2004-01-01

    Large scope distribution software technology will be a mainstream technology of software development for coming years. But Large scope distribution software development means high software complexity and expensive expenditure. Software architecture acts as blueprint of software system and turns into one of the determinant factor for development~ especially for large scope software in distribution environment. This paper analyzes the flexibility and suitability of software agent to construct LSSA (Large scope software architecture), then ADALSS(Agent-based distributed architecture of large scope software) based on agent federation is presented, and ADALSS mechanism is illustrated as well. Concerning implementation, a layer model of ADALSS based on interface is described. It will be a dominant pattern for future large scope software development to regard each agent as an object and to combine this agent object with ADALSS model.

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

    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.

  7. A Multilayered Model for Artificial Intelligence of Game Character as Agent Architecture

    Miyake, Youichiro; Miyake, Yoichiro

    2015-01-01

    As all mathematics have a beautiful structure, an inner mind model of Artificial Intelligence has a grand architecture. It consists of information flow and software modules. In this twenty years, an agent's inner intelligence model has been researched and developed by many game AI programmers in game titles. A whole image of an agent's intelligent model is explained.

  8. Naïve Bayesian Learning based Multi Agent Architecture for Telemedicine

    Ei Ei Chaw

    2013-04-01

    Full Text Available Agent-based systems are one of the most vibrant and important areas of the research and development to have emerged in Information Technology in recent years. They are one of the most promising approaches for designing and implementing autonomous, intelligent and social software assistants capable of supporting human decision-making. These kinds of systems are believed to be appropriate in many aspects of the healthcare domain. As a result, there is a growing interest of researchers in the application of agent-based techniques to problems in the healthcare domain. The adoption of agent technologies and multi-agent constitutes an emerging area in bioinformatics. Multi-agent based medical diagnosis systems may improve traditionally developed medical computational systems and may also support medical staff in decision-making. In this paper, we simulate the multi agent system for cancer classification. The proposed architecture consists of service provider agents as upper layer agent, coordinator agent as middle layer agent and initial agent lowest layer agent. Coordinator agent serves as matchmaker agent that uses Naïve Bayesian learning method for obtaining general knowledge and selects the best service provider agent using matchmaking mechanism. Therefore this system can reduce the communication overhead between agents for sending messages and transferring data and can avoid sending the problem to irrelevant agents.

  9. An agent-based peer-to-peer architecture for semantic discovery of manufacturing services across virtual enterprises

    Zhang, Wenyu; Zhang, Shuai; Cai, Ming; Jian, Wu

    2015-04-01

    With the development of virtual enterprise (VE) paradigm, the usage of serviceoriented architecture (SOA) is increasingly being considered for facilitating the integration and utilisation of distributed manufacturing resources. However, due to the heterogeneous nature among VEs, the dynamic nature of a VE and the autonomous nature of each VE member, the lack of both sophisticated coordination mechanism in the popular centralised infrastructure and semantic expressivity in the existing SOA standards make the current centralised, syntactic service discovery method undesirable. This motivates the proposed agent-based peer-to-peer (P2P) architecture for semantic discovery of manufacturing services across VEs. Multi-agent technology provides autonomous and flexible problemsolving capabilities in dynamic and adaptive VE environments. Peer-to-peer overlay provides highly scalable coupling across decentralised VEs, each of which exhibiting as a peer composed of multiple agents dealing with manufacturing services. The proposed architecture utilises a novel, efficient, two-stage search strategy - semantic peer discovery and semantic service discovery - to handle the complex searches of manufacturing services across VEs through fast peer filtering. The operation and experimental evaluation of the prototype system are presented to validate the implementation of the proposed approach.

  10. FRAMEWORK ARCHITECTURE FOR IMPROVING HEALTHCARE INFORMATION SYSTEMS USING AGENT TECHNOLOGY

    Hasan Omar Al-Sakran

    2015-02-01

    Full Text Available Due to diversity, heterogeneity and complexity of the existing healthcare structure, providing suitable healthcare services is a complicated process. This work describes the conceptual design of an e-healthcare system, which implements integration strategies and suitable technologies that will handle the interoperability problem among its essential components. The proposed solution combines intelligent agent technology and case based reasoning for highly distributed applications in healthcare environment. Intelligent agents play a critical role in providing correct information for diagnostic, treatment, etc. They work on behalf of human agents taking care of routine tasks, thus increasing speed and reliability of the information exchanges. CBR is used to generate advices to a certain e-healthcare problems by analyzing solutions given to previously solved problems and to build intelligent systems for disease diagnostics and prognosis. Preliminary experimental simulation based on Agent Development Framework (JADE demonstrated the feasibility of this model.

  11. Applicability of Agent-Based Technology for Acquisition, Monitoring and Process Control Systems at Real Time for Distributed Architectures

    Modern industrial plants are characterized by their large size and higher complexity of the processes involved in their operations.The real time monitoring systems of theses plants must be used a distributed architecture.Due to the pressure of competitive markets, an efficient adaptability to changes must be present in the plants.Modifications in the plants due to changes in the lay-out, the introduction of newer supervision, control and monitoring technologies must not affect the integrity of the systems.The aim of this work is give an introduction to the agent-based technology and analyze it advantage for the development of a modern monitoring system

  12. AGENT-BASED DESIGN OF BUSINESS INTELLIGENCE SYSTEM ARCHITECTURE

    Roman Å PERKA

    2012-01-01

    Business intelligence is a business management term used to describe applications and technologies which are used to gather, provide access to, and analyse data and information about the organization, to help make better business decisions. The multi-agent approach provides a feasible solution for construction of the business intelligence system. This paper firstly briefly introduces the traditional business intelligence architecting principles and multi-agent approach. Secondly, a design of ...

  13. Emotional Belief-Desire-Intention Agent Model: Previous Work And Proposed Architecture

    Mihaela- Alexandra Puica

    2013-02-01

    Full Text Available Research in affective computing shows that agents cannot be truly intelligent, nor believable or realistic without emotions. In this paper, we present a model of emotional agents that is based on a BDI architecture. We show how we can integrate emotions, resources and personality features into an artificial intelligent agent so as to obtain a human-like behavior of this agent. We place our work in the general context of existing research in emotional agents, with emphasis on BDI emotional models.

  14. Security architecture of the M&M mobile agent framework

    Marques, Paulo J.; Santos, Nuno F.; Silva, Luis; Silva, Joao G.

    2001-07-01

    In the Mobile Agent programming model, small threads of execution migrate from machine to machine, performing their operations locally. For being able to deploy such a model into real world applications, security is a vital concern. In the M&M project we have developed a system that departures from the traditional platform-based execution model for mobile agents. In M&M there are no agent platforms. Instead there is a component framework that allows the applications to become able of sending and receiving agents by themselves in a straightforward manner. In this paper we examine the security mechanisms available in M&M, and how integration with existing applications is done. One difficult aspect of this work is that all the features must work with the security mechanisms that already exist on the applications. This is so because the components are integrated from within into the applications, which already have security mechanisms in place. Currently, M&M provides features like fine-grain security permissions, encryption of agents and data, certificate distribution using LDAP and cryptographic primitives for agents. For validating the approach and solutions found, we have integrated the framework into several off-the-shelf web servers, having the security mechanisms running, with no problems.

  15. Wealth distribution across communities of adaptive financial agents

    DeLellis, Pietro; Garofalo, Franco; Lo Iudice, Francesco; Napoletano, Elena

    2015-08-01

    This paper studies the trading volumes and wealth distribution of a novel agent-based model of an artificial financial market. In this model, heterogeneous agents, behaving according to the Von Neumann and Morgenstern utility theory, may mutually interact. A Tobin-like tax (TT) on successful investments and a flat tax are compared to assess the effects on the agents’ wealth distribution. We carry out extensive numerical simulations in two alternative scenarios: (i) a reference scenario, where the agents keep their utility function fixed, and (ii) a focal scenario, where the agents are adaptive and self-organize in communities, emulating their neighbours by updating their own utility function. Specifically, the interactions among the agents are modelled through a directed scale-free network to account for the presence of community leaders, and the herding-like effect is tested against the reference scenario. We observe that our model is capable of replicating the benefits and drawbacks of the two taxation systems and that the interactions among the agents strongly affect the wealth distribution across the communities. Remarkably, the communities benefit from the presence of leaders with successful trading strategies, and are more likely to increase their average wealth. Moreover, this emulation mechanism mitigates the decrease in trading volumes, which is a typical drawback of TTs.

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

    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.

  17. Fuzzy Motivations in a Multiple Agent Behaviour-Based Architecture

    Tomás V. Arredondo

    2013-08-01

    Full Text Available In this article we introduce a blackboard- based multiple agent system framework that considers biologically-based motivations as a means to develop a user friendly interface. The framework includes a population-based heuristic as well as a fuzzy logic- based inference system used toward scoring system behaviours. The heuristic provides an optimization environment and the fuzzy scoring mechanism is used to give a fitness score to possible system outputs (i.e. solutions. This framework results in the generation of complex behaviours which respond to previously specified motivations. Our multiple agent blackboard and motivation-based framework is validated in a low cost mobile robot specifically built for this task. The robot was used in several navigation experiments and the motivation profile that was considered included "curiosity", "homing", "energy" and "missions". Our results show that this motivation-based approach permits a low cost multiple agent-based autonomous mobile robot to acquire a diverse set of fit behaviours that respond well to user and performance expectations. These results also validate our multiple agent framework as an incremental, flexible and practical method for the development of robust multiple agent systems.

  18. Missile Defence and Interceptor Allocation by LVQ-RBFMulti-agent Hybrid Architecture

    S. Thamarai Selvi

    2007-03-01

    Full Text Available This paper proposes a solution methodology for a missile defence problem using theatremissile defence (TMD concept. In the missile defence scenario, the concept of TMD is generallyused for the optimal allocation of interceptors to counter the attack missiles. The problem iscomputationally complex due to the presence of enormous state space. The Learning vectorquantiser–Radial basis function (LVQ-RBF multi-agent hybrid neural architecture is used as thelearning structure, and Q-learning as the learning method. The LVQ-RBF multi-agent hybridneural architecture overcomes the complex state space issue using the partitioning and weightedlearning approach. The proposed LVQ-RBF multi- agent hybrid architecture improvises thelearning performance by the local and global error criterion. The state space is explored withinitial coarse partitioning by LVQ neural network. The fine partitioning of the state space isperformed using the multi-agent RBF neural network. The discrete reward scheme is used forLVQ-RBF multi-agent hybrid neural architecture. It has a hierarchical architecture which enablesquicker convergence without the loss of accuracy. The simulation of the TMD is performed with500 assets and six priority of assets.

  19. A distributed agent-based architecture for dynamic services

    A prototype system for agent-based distributed dynamic services that will be applied to the development of Data Grids for high-energy physics is presented. The agent-based systems we are designing and developing gather, disseminate and coordinate configuration, time-dependent state and other information in the Grid system as a whole. These systems are being developed as an enabling technology for workflow-management and other forms of end-to-end Grid system monitoring and management. This prototype is being developed in Java and is based on the JINI support for distributed applications

  20. A Multi-Agent Architecture for Quantified Fruits: Design and Experience

    Briot, Jean-Pierre; Moraes de Nascimento, Nathalia; Pereira de Lucena, Carlos José

    2016-01-01

    The concept of Quantified Self is about connected objects self-monitoring their human owner (e.g., a watch measuring heart rate, etc.). A natural transposition is in self-monitoring arbitrary things, therefore named Quantified Things. In this paper, we present the case of self-monitoring agricultural products. We discuss the rationales for the design of a Quantified Fruit multi-agent architecture for self-monitoring and self-prediction of the maturation of fruits. The architecture includes 6 ...

  1. A Novel Architecture of Agent based Crawling for OAI Resources

    J.P.Gupta

    2010-07-01

    Full Text Available Nowadays, most of the search engines are competing to index as much of the Surface Web as possible with leaving a lurch at the OAI content (pdf documents, which holds a huge amount of information than surface web. In this paper, a novel framework for OAI-PMH based Crawler is being proposed that uses agents to extract the metadata about the OAI resources and store them in a repository which is later on queried through the OAI-PMH layer to generate the XML pages containing the metadata. These pages are further added to the search engines repository for indexing that makes in turn increases therelevancy of Search Engine. Agents are being used to parallelizethe whole process so that metadata extraction from multiple resources can be carried out simultaneously.

  2. Decision Support Architecture for Intelligent Data Mining Agents

    Neruda, Roman

    Los Alamitos : IEEE Computer Society, 2009, s. 194-199. ISBN 978-981-08-3029-8. [ICITA 2009. International Conference on Information Technology and Applications /6./. Hanoi (VN), 09.11.2009-12.11.2009] R&D Projects: GA ČR GA201/08/1744 Institutional research plan: CEZ:AV0Z10300504 Keywords : data mining * intelligent agents * cooperation Subject RIV: IN - Informatics, Computer Science

  3. An agent architecture with on-line learning of both procedural and declarative knowledge

    Sun, R.; Peterson, T.; Merrill, E. [Univ. of Alabama, Tuscaloosa, AL (United States)

    1996-12-31

    In order to develop versatile cognitive agents that learn in situated contexts and generalize resulting knowledge to different environments, we explore the possibility of learning both declarative and procedural knowledge in a hybrid connectionist architecture. The architecture is based on the two-level idea proposed earlier by the author. Declarative knowledge is represented symbolically, while procedural knowledge is represented subsymbolically. The architecture integrates reactive procedures, rules, learning, and decision-making in a unified framework, and structures different learning components (including Q-learning and rule induction) in a synergistic way to perform on-line and integrated learning.

  4. 适应性软件体系结构研究%Research on Adaptive Software Architecture

    李刚; 金茂忠

    2002-01-01

    In this paper,the necessity of researching on adaptive software architecture is expounded from the angle of impacts of Internet on software;the status quo of software architecture and software adaptability is summarized;the open problems and our viewpoints are presented.To contribute to improving software architecture adaptability,much attention should be paid to the following:(1)the theory and methodology of software surviving environment system and system analyzing,(2) the model of adaptive software architecture and the formal theory,(3) the methodology of adaptive software architecture-based software development and achitecture requirement analysis.

  5. An Agent-Based Dynamic Model for Analysis of Distributed Space Exploration Architectures

    Sindiy, Oleg V.; DeLaurentis, Daniel A.; Stein, William B.

    2009-07-01

    A range of complex challenges, but also potentially unique rewards, underlie the development of exploration architectures that use a distributed, dynamic network of resources across the solar system. From a methodological perspective, the prime challenge is to systematically model the evolution (and quantify comparative performance) of such architectures, under uncertainty, to effectively direct further study of specialized trajectories, spacecraft technologies, concept of operations, and resource allocation. A process model for System-of-Systems Engineering is used to define time-varying performance measures for comparative architecture analysis and identification of distinguishing patterns among interoperating systems. Agent-based modeling serves as the means to create a discrete-time simulation that generates dynamics for the study of architecture evolution. A Solar System Mobility Network proof-of-concept problem is introduced representing a set of longer-term, distributed exploration architectures. Options within this set revolve around deployment of human and robotic exploration and infrastructure assets, their organization, interoperability, and evolution, i.e., a system-of-systems. Agent-based simulations quantify relative payoffs for a fully distributed architecture (which can be significant over the long term), the latency period before they are manifest, and the up-front investment (which can be substantial compared to alternatives). Verification and sensitivity results provide further insight on development paths and indicate that the framework and simulation modeling approach may be useful in architectural design of other space exploration mass, energy, and information exchange settings.

  6. Adaptive Hybrid Mobile Agent Protocol for Wireless Multihop Internet Access

    A. Velmurugan

    2006-01-01

    Full Text Available Internet-based Mobile Ad Hoc Networking (MANET is an emerging technology that supports self-organizing mobile networking infrastructures. This is expected to be of great use in commercial applications for the next generation Internet users. A number of technical challenges are faced today due to the heterogeneous, dynamic nature of this hybrid MANET. A new hybrid routing scheme AODV_ALMA is proposed, which act simultaneously combining mobile agents to find path to the gateway to establish connection with Internet host and on-demand distance vector approach to find path in local MANET is one of the unique solution. An adaptive gateway discovery mechanism based on mobile agents making use of pheromone value, pheromone decay time and balance index is used to estimate the path and next hop to the gateway. The mobile nodes automatically configure the address using mobile agents first selecting the gateway and then using the gateway prefix address. The mobile agents are also used to track changes in topology enabling high network connectivity with reduced delay in packet transmission to Internet. The performance tradeoffs and limitations with existing solutions for various mobility conditions are evaluated using simulation."

  7. Adaptive, Distributed Control of Constrained Multi-Agent Systems

    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.

  8. A Novel Architecture of Agent based Crawling for OAI Resources

    J. P. Gupta; Shruti Sharma

    2010-01-01

    Nowadays, most of the search engines are competing to index as much of the Surface Web as possible with leaving a lurch at the OAI content (pdf documents), which holds a huge amount of information than surface web. In this paper, a novel framework for OAI-PMH based Crawler is being proposed that uses agents to extract the metadata about the OAI resources and store them in a repository which is later on queried through the OAI-PMH layer to generate the XML pages containing the metadata. These ...

  9. LEXSYS: Architecture and Implication for Intelligent Agent systems

    Robert, Charles A B

    2010-01-01

    LEXSYS, (Legume Expert System) was a project conceived at IITA (International Institute of Tropical Agriculture) Ibadan Nigeria. It was initiated by the COMBS (Collaborative Group on Maize-Based Systems Research in the 1990. It was meant for a general framework for characterizing on-farm testing for technology design for sustainable cereal-based cropping system. LEXSYS is not a true expert system as the name would imply, but simply a user-friendly information system. This work is an attempt to give a formal representation of the existing system and then present areas where intelligent agent can be applied.

  10. A New Architecture for Making Moral Agents Based on C4.5 Decision Tree Algorithm

    Meisam Azad-Manjiri

    2014-04-01

    Full Text Available Regarding to the influence of robots in the various fields of life, the issue of trusting to them is important, especially when a robot deals with people directly. One of the possible ways to get this confidence is adding a moral dimension to the robots. Therefore, we present a new architecture in order to build moral agents that learn from demonstrations. This agent is based on Beauchamp and Childress’s principles of biomedical ethics (a type of deontological theory and uses decision tree algorithm to abstract relationships between ethical principles and morality of actions. We apply this architecture to build an agent that provides guidance to health care workers faced with ethical dilemmas. Our results show that the agent is able to learn ethic well.

  11. An Improved Itinerary Recording Protocol for Securing Distributed Architectures Based on Mobile Agents

    Guillaume Allée; Samuel Pierre; Roch H. Glitho; Abdelmorhit El Rhazi

    2005-01-01

    This paper proposes an improved itinerary recording protocol for securing distributed architectures based on mobile agents. The behavior of each of the cooperating agents is described, as well as the decision process establishing the identities of offenders when an attack is detected. Our protocol is tested on a set of potential attacks and the results confirm our assumption regarding offender designations and moments of detection. More precisely, the performance evaluation shows that our pro...

  12. Prediction of fibre architecture and adaptation in diseased carotid bifurcations.

    Creane, Arthur

    2011-12-01

    Many studies have used patient-specific finite element models to estimate the stress environment in atherosclerotic plaques, attempting to correlate the magnitude of stress to plaque vulnerability. In complex geometries, few studies have incorporated the anisotropic material response of arterial tissue. This paper presents a fibre remodelling algorithm to predict the fibre architecture, and thus anisotropic material response in four patient-specific models of the carotid bifurcation. The change in fibre architecture during disease progression and its affect on the stress environment in the plaque were predicted. The mean fibre directions were assumed to lie at an angle between the two positive principal strain directions. The angle and the degree of dispersion were assumed to depend on the ratio of principal strain values. Results were compared with experimental observations and other numerical studies. In non-branching regions of each model, the typical double helix arterial fibre pattern was predicted while at the bifurcation and in regions of plaque burden, more complex fibre architectures were found. The predicted change in fibre architecture in the arterial tissue during plaque progression was found to alter the stress environment in the plaque. This suggests that the specimen-specific anisotropic response of the tissue should be taken into account to accurately predict stresses in the plaque. Since determination of the fibre architecture in vivo is a difficult task, the system presented here provides a useful method of estimating the fibre architecture in complex arterial geometries.

  13. Towards a Component Framework for Architecture-Based Self-Adaptive Applications

    ZHOU Yu; MA Xiaoxing; TAO Xianping; LU Jian

    2006-01-01

    Self-adaptive software is an efficient way to cope with highly dynamic nature of the environment where it is situated. In this paper, from the perspective of software architecture, we propose a component framework for supporting the architecture-based design and development of self-adaptive applications. It captures some key elements of the research on software architecture and provides more flexible facilities to decouple interacting components. Based on that, a prototype is implemented to demonstrate its feasibility, and at last a case study is presented to illustrate our framework.

  14. Architecture-Adaptive Computing Environment: A Tool for Teaching Parallel Programming

    Dorband, John E.; Aburdene, Maurice F.

    2002-01-01

    Recently, networked and cluster computation have become very popular. This paper is an introduction to a new C based parallel language for architecture-adaptive programming, aCe C. The primary purpose of aCe (Architecture-adaptive Computing Environment) is to encourage programmers to implement applications on parallel architectures by providing them the assurance that future architectures will be able to run their applications with a minimum of modification. A secondary purpose is to encourage computer architects to develop new types of architectures by providing an easily implemented software development environment and a library of test applications. This new language should be an ideal tool to teach parallel programming. In this paper, we will focus on some fundamental features of aCe C.

  15. Bio-inspired Self-Adaptive Agents in Distributed Systems

    Ichiro SATOH

    2013-06-01

    Full Text Available Normal 0 21 false false false EN-US JA X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:12.0pt; font-family:Cambria; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin; mso-ansi-language:EN-US;} This paper proposes a bio-inspired middleware for selfadaptive software agents on distributed systems. It is unique to other existing approaches for software adaptation because it introduces the notions of differentiation, dedifferentiation, and cellular division in cellular slime molds, e.g., dictyostelium discoideum, into real distributed systems. When an agent delegates a function to another agent coordinating with it, if the former has the function, this function becomes lessdeveloped and the latter’s function becomes welldeveloped.

  16. Adaptive Multi-Agent Systems for Constrained Optimization

    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.

  17. AGENT AND RADIO FREQUENCY IDENTIFICATION BASED ARCHITECTURE FOR SUPERMARKET INFORMATION SYSTEM

    Hasan Al-Sakran

    2013-01-01

    Full Text Available In recent years the acceptance of Radio Frequency Identification (RFID technology in business environments has been increasing rapidly due to its competitive business value. Adopting a suitable RFID-based information system has become increasingly important for supermarkets. However, most supermarkets still use conventional barcode-based systems to manage their information processes, which are consistently reported as one of the most unenthusiastic aspects of supermarket shopping for both customers and management. We propose an RFID agent-based architecture that adopts intelligent agent technology with an RFID based applications. RFID provides capability to uniquely identify an object within a supermarket area, while agents are able to establish a channel of communication which can be used to facilitate communications between a RFID device and supermarket back-end system. The proposed framework includes a design of intelligent mobile shopping cart equipped with both RFID and agent technologies. As a result of using the proposed RFID agent based architecture, the customer shopping experience will be improved due to ease of retrieving of the detailed information on items and quick checkout by scanning all items at once, thus eliminating queues. From supermarket management point of view the proposed architecture will reduce the cost of operation e.g., decreasing cost of goods sold which comes in the form of labor efficiency in areas of checkout operation, inventory management and alerting the supermarket management when a certain product is running out of stock and needs to be restocked.

  18. A channel- and QoS-adaptive turbo coded modulation architecture for mobile multimedia communication

    Zuo Jiancun; Song Wentao; Luo Hanwen; Xu Youyun

    2009-01-01

    This paper proposed a cross-layer dual adaptive coded modulation architecture using turbo codes for mobile multimedia communication, which simultaneously adapted to both the varying channel characteristics and the quality of service (QoS) of various mobile multimedia services to increase the average system throughput substantially. A pragmatic channel-adaptive turbo coded modulation scheme, which comes within 2.5dB of the Shannon limit, was optimally designed, and then a QoS-adaptive scheme was superimposed to build the dual adaptive architecture. Simulation results show that the novel dual adaption reduces the difference with the fading channel capacity to 2dB when assuming different services occur in equal probability and the service duration follows the exponential distribution.

  19. Towards a Pattern Language for Self-adaptation of Cloud-based Architectures

    Ahmad, Aakash; Babar, Muhammad Ali

    2014-01-01

    Cloud computing enables organisations to deploy their software systems over a pool of available services – exploiting pay-per-use models – rather than upfront purchase of an overprovisioned infrastructure. In an architectural context for cloud systems that demand elasticity in terms of service...... availability, reliability, and efficiency, there is a need to capitalise on the ‘build-once, use-often’ solutions that support reuse-driven self-adaptations of cloud-based architectures. We support the composition and application of a pattern language that exploits adaptation patterns and their relations to...... support ‘adaptation-off-the-shelf’ for cloud-based software architectures. We unify the concepts of software repository mining and software evolution to support the composition and application of an adaptation pattern language. First, we exploit the software repository mining concepts by investigating...

  20. Urban Climate Adaptation in Landscape Architecture Design Studios

    Lenzholzer, S.

    2012-01-01

    The adaptation of cities to existing problems such as urban heat islands and to the expected effects of climate change asks for new focuses in urban design professions. Especially for landscape architects, many new assignments will occur within climate adaptation, because the ‘materials’ they work w

  1. An adaptive service oriented architecture : Automatically solving interoperability problems

    Hiel, M.

    2010-01-01

    Organizations desire to be able to easily cooperate with other companies and still be flexible. The IT infrastructure used by these companies should facilitate these wishes. Service-Oriented Architecture (SOA) and Autonomic Computing (AC) were introduced in order to realize such an infrastructure, h

  2. Synthetic Ni3S2/Ni hybrid architectures as potential contrast agents in MRI

    Ma, J.; Chen, K.

    2016-04-01

    Traditional magnetic resonance imaging (MRI) contrast agents mainly include superparamagnetic (SPM) iron oxide nanoparticle as T 2 contrast agent for liver and paramagnetic Gd (III)-chelate as T 1 contrast agent for all organs. In this work, weak ferromagnetic kale-like and SPM cabbage-like Ni3S2@Ni hybrid architectures were synthesized and evaluated as potential T 1 MRI contrast agents. Their relatively small r 2/r 1 ratios of 2.59 and 2.38, and high r 1 values of 11.27 and 4.89 mmol‑1 L s‑1 (for the kale-like and cabbage-like Ni3S2@Ni, respectively) will shed some light on the development of new-type MRI contrast agents.

  3. AGENTS BASED ADAPTIVE HYPERMEDIA SYSTEM WITH THE COMPETENCY APPROACH

    Jose Sergio Magdaleno-Palencia

    2011-01-01

    Full Text Available This work is motivated by the need to propose a model for the study of personalized hypermedia systems with a competency approach, which is one of United Nations Educational, Scientific and Cultural Organization (UNESCO and General Administration of Higher Education Technology (DGEST recommendations. We use computer agents, to construct a student model with emphasis on his learning style, multiple intelligences and the competency evaluation to adapt the course material according to the student’s needs. The system will also use artificial intelligence techniques. The systems will be used at a university level; the primary goal is to help each student learn and thus reach a suitable competency level.

  4. Rice Root Architectural Plasticity Traits and Genetic Regions for Adaptability to Variable Cultivation and Stress Conditions.

    Sandhu, Nitika; Raman, K Anitha; Torres, Rolando O; Audebert, Alain; Dardou, Audrey; Kumar, Arvind; Henry, Amelia

    2016-08-01

    Future rice (Oryza sativa) crops will likely experience a range of growth conditions, and root architectural plasticity will be an important characteristic to confer adaptability across variable environments. In this study, the relationship between root architectural plasticity and adaptability (i.e. yield stability) was evaluated in two traditional × improved rice populations (Aus 276 × MTU1010 and Kali Aus × MTU1010). Forty contrasting genotypes were grown in direct-seeded upland and transplanted lowland conditions with drought and drought + rewatered stress treatments in lysimeter and field studies and a low-phosphorus stress treatment in a Rhizoscope study. Relationships among root architectural plasticity for root dry weight, root length density, and percentage lateral roots with yield stability were identified. Selected genotypes that showed high yield stability also showed a high degree of root plasticity in response to both drought and low phosphorus. The two populations varied in the soil depth effect on root architectural plasticity traits, none of which resulted in reduced grain yield. Root architectural plasticity traits were related to 13 (Aus 276 population) and 21 (Kali Aus population) genetic loci, which were contributed by both the traditional donor parents and MTU1010. Three genomic loci were identified as hot spots with multiple root architectural plasticity traits in both populations, and one locus for both root architectural plasticity and grain yield was detected. These results suggest an important role of root architectural plasticity across future rice crop conditions and provide a starting point for marker-assisted selection for plasticity. PMID:27342311

  5. Architecture and performance of astronomical adaptive optics systems

    Bloemhof, E.

    2002-01-01

    In recent years the technological advances of adaptive optics have enabled a great deal of innovative science. In this lecture I review the system-level design of modern astronomical AO instruments, and discuss their current capabilities.

  6. LEARNING REPOSITORY ADAPTABILITY IN AN AGENT-BASED UNIVERSITY ENVIRONMENT

    Vanco Cabukovski

    2016-06-01

    Full Text Available Automated e-Learning Systems (AeLS are fundamental to contemporary educational concepts worldwide.It has become a standard not only in support to the formal curriculum, but containing social platform capabilities, gamification elements and functionalities fostering communities of experts, also for faster knowledge dissemination. Additionally, AeLSs support internal communications and customizable analytics and methodologies to quickly identify learning performance, which in turn can be used as feedback to implement adaptability in tailoring the content management to meet specific individual needs. The volume of fast growing AeLS content of supplement material and exchanged communication combined with the already huge material archived in the university libraries is enormous and needs sophisticated managing through electronic repositories. Such integration of content management systems (CMS present challenges which can be solved optimally with the use of distributed management implemented through agent-based systems. This paper depicts a successful implementation of an Integrated Intelligent Agent Based UniversityInformation System (IABUIS.

  7. A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness

    Qing Xue

    2014-01-01

    Full Text Available We present a conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness. This architecture will form the basis of design for such an interface. This paper describes components, key technologies, and working principles of the architecture. The critical contents covered context information modeling, processing, relationship establishing between contexts and interface design knowledge by use of adaptive knowledge reasoning, and visualization implementing of adaptive interface with the aid of interface tools technology.

  8. Adaptive kinetic-fluid solvers for heterogeneous computing architectures

    Zabelok, Sergey; Arslanbekov, Robert; Kolobov, Vladimir

    2015-12-01

    We show feasibility and benefits of porting an adaptive multi-scale kinetic-fluid code to CPU-GPU systems. Challenges are due to the irregular data access for adaptive Cartesian mesh, vast difference of computational cost between kinetic and fluid cells, and desire to evenly load all CPUs and GPUs during grid adaptation and algorithm refinement. Our Unified Flow Solver (UFS) combines Adaptive Mesh Refinement (AMR) with automatic cell-by-cell selection of kinetic or fluid solvers based on continuum breakdown criteria. Using GPUs enables hybrid simulations of mixed rarefied-continuum flows with a million of Boltzmann cells each having a 24 × 24 × 24 velocity mesh. We describe the implementation of CUDA kernels for three modules in UFS: the direct Boltzmann solver using the discrete velocity method (DVM), the Direct Simulation Monte Carlo (DSMC) solver, and a mesoscopic solver based on the Lattice Boltzmann Method (LBM), all using adaptive Cartesian mesh. Double digit speedups on single GPU and good scaling for multi-GPUs have been demonstrated.

  9. Adaptive compensation of sculptured surface machining errors by open architecture manufacturing system

    2001-01-01

    Presents the adaptive compensation of sculptured surfacemachining errors by using the open architecture intelligent manufacturing system to ensure real-time high-precision machining of sculptured surface, and the tool deflection model constructed for prediction of machining errors to be compensated and analysis of the effect of tool deflection on machining errors, and concludes from experimental results that the open architecture intelligent manufacturing system can effectively improve the machining precision and reduce the machining errors by 30%.

  10. Adaptive Kinetic-Fluid Solvers for Heterogeneous Computing Architectures

    Zabelok, Sergey; Kolobov, Vladimir

    2015-01-01

    This paper describes recent progress towards porting a Unified Flow Solver (UFS) to heterogeneous parallel computing. UFS is an adaptive kinetic-fluid simulation tool, which combines Adaptive Mesh Refinement (AMR) with automatic cell-by-cell selection of kinetic or fluid solvers based on continuum breakdown criteria. The main challenge of porting UFS to graphics processing units (GPUs) comes from the dynamically adapted mesh, which causes irregular data access. We describe the implementation of CUDA kernels for three modules in UFS: the direct Boltzmann solver using discrete velocity method (DVM), the Direct Simulation Monte Carlo (DSMC) module, and the Lattice Boltzmann Method (LBM) solver, all using octree Cartesian mesh with AMR. Double digit speedups on single GPU and good scaling for multi-GPU have been demonstrated.

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

    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.

  12. Secure Architecture for m-Health Communications Using Multi-agent Approach

    Mohd Fadhli Abdul Jalil

    2014-03-01

    Full Text Available In this study we propose a security architecture for mobile Health (mHealth communications. mHealth is a term used for medical-related services or communication, delivered using mobile devices such as mobile phones, tablet computers and PDAs. Communication in the health-related field often involve sensitive information (e.g., an email about a patient's illness is sent between doctors, which is transmitted over the Internet. However, although the Internet greatly facilitates the communication, it is undeniable that the threats to the Internet are becoming more prevalent. A multi-agent security architecture is presented in this study to provide a secure environment for mHealth communication. Agents are skilled in order to handle the communication processes at both sender’s and recipient’s side. This includes the security processes, which make use of cryptography protocols to secure data at both sides.

  13. Auto-agent: a behavior-based architecture for mobile navigation

    Hwang, Kaoshing; Ju, Ming-Yi

    1998-10-01

    The design and construction of mobile robots is as much art as a science. In hardware architecture, researchers tend to construct a low-cost and reliable platform which equips with various sensory system for sensing the change of the environment to offer useful information to the navigation system. An autonomous navigation system plays a role in an mobile robot as the brain in human being. It generates action command according to those sensory data from the perception system to direct the mobile robot to go to desired positions or accomplish useful tasks without human intervention in real-world. An important problem in autonomous navigation is the need to cope with the large amount of uncertainty that is inherent of natural environment. Therefore the development of techniques for autonomous navigation in real-world environments constitutes one of the major trends in the current research on robotics. Inspired with the concept of software agents, reactive control and behavior-based control, a modular architecture, called Auto-agent, for mobile navigation is proposed. The main characteristic of Auto-agent is as following: Behavioral agents cooperate by means of communicating with other behavioral agents intermittently to achieve their local goal and the goals of the community as a whole because no one individually has sufficient competence, resources and information to solve the entire problem. Auto-agent gains advantages from the characteristics of distributed system, it offers the possibility to find an acceptable solution with a reasonable time and complexity range. Besides, the modular structure is convenient for an engineer to construct a new behavioral agent and to add it into Auto-agent.

  14. Architecture and Behavior Design for Information Agents%信息Agent的体系结构与行为设计

    郑淑丽; 杨敬安; 骆祥峰

    2002-01-01

    With the rapid development of Internet,information Agent aroused a great interest with its potential power.Various information agents were made for different targets and were implemented in different means.To facilitate open system interoperability of autonmous agents and reduce program load of programmers,we need to specify reusable architecture to support some reusable behavior for information agent.First,the function overview and the basic architecture of information agent are stated,and then the most important modules are discussed.They are the schedule system and the local DBMS.Finally,five reusable behaviors are presented.

  15. The genetic architecture of climatic adaptation in tropical cattle

    Adaptation of global food systems to climate change is essential to feed the world in the future. Tropical cattle production, an important mainstay of profitability for farmers in the developing world, is dominated by conditions of heat, lack of water, poor quality feedstuffs, parasites, and tropica...

  16. Adaptive FPGA NoC-based Architecture for Multispectral Image Correlation

    Zhang, Linlin; Fresse, Virginie; Fischer, Viktor

    2009-01-01

    An adaptive FPGA architecture based on the NoC (Network-on-Chip) approach is used for the multispectral image correlation. This architecture must contain several distance algorithms depending on the characteristics of spectral images and the precision of the authentication. The analysis of distance algorithms is required which bases on the algorithmic complexity, result precision, execution time and the adaptability of the implementation. This paper presents the comparison of these distance computation algorithms on one spectral database. The result of a RGB algorithm implementation was discussed.

  17. Controlled degradation stochastic resonance in adaptive averaging cell-based architectures

    Aymerich Capdevila, Nivard; Cotofana, Sorin; Rubio Sola, Jose Antonio

    2013-01-01

    In this paper, we first analyze the degradation stochastic resonance (DSR) effect in the context of adaptive averaging (AD-AVG) architectures. The AD-AVG is the adaptive version of the well-known AVG architecture . It is an optimized fault-tolerant design for future technologies with very high rates of failures and defects. With system degradation the AD-AVG reliability is diminishing, as expected, but at a certain moment in time it increases due to the DSR occurrence, which is counterintuiti...

  18. Generic Architecture for Multi-AUV Cooperation Based on a Multi-Agent Reactive Organizational Approach

    Carlési, Nicolas; Michel, Fabien; Jouvencel, Bruno; Ferber, Jacques

    2011-01-01

    International audience Because Autonomous Underwater Vehicles (AUVs) have limited perception and communication capabilities, designing efficient AUV flotillas is challenging. Existing solutions are often strongly related to (1) a specific kind of mission and (2) the nature of the considered AUVs. So, it is difficult to reuse these approaches when switching to another mission context. This paper proposes a generic multi-agent based layered architecture for designing and specifying AUV floti...

  19. An Ontology Oriented Architecture for Context Aware Services Adaptation

    Guermah, Hatim; Fissaa, Tarik; Hafiddi, Hatim; Nassar, Mahmoud; Abdelaziz KRIOUILE

    2014-01-01

    In the field of ubiquitous computing, a class of applications called context-aware services attracted great interest especially since the emergence of wireless technologies and mobile devices. Context-aware application can dynamically capture a range of information from its environment and this information represents a context, the application adapts its execution according to this context. An important challenge in ubiquitous computing is dealing with context. Ontologies presents the most pr...

  20. Ontology-based support for reconfigurable adaptive group communication architecture

    Bouassida Rodriguez, Ismael; Kamoun, Aymen; Ramanathan, Sakkaravarthi; Drira, Khalil

    2012-01-01

    16 In collaborative communication, adaptation is required to maintain the reliable connection. Within the framework of a wireless environment, it is very challenging for the host entities to handle a sudden/unexpected change in communication and available resources. This issue is addressed in the context of save and rescue missions carried out during natural disasters such as floods and forest fires by human and voluntary operators aided by ground mobile devices and autonomous robots. This...

  1. Adaptive Remote-Sensing Techniques Implementing Swarms of Mobile Agents

    Cameron, S.M.; Loubriel, G.M.; Rbinett, R.D. III; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.

    1999-04-01

    This paper focuses on our recent work at Sandia National Laboratories toward engineering a physics-based swarm of mobile vehicles for distributed sensing applications. Our goal is to coordinate a sensor array that optimizes sensor coverage and multivariate signal analysis by implementing artificial intelligence and evolutionary computational techniques. These intelligent control systems integrate both globally operating decision-making systems and locally cooperative information-sharing modes using genetically-trained neural networks. Once trained, neural networks have the ability to enhance real-time operational responses to dynamical environments, such as obstacle avoidance, responding to prevailing wind patterns, and overcoming other natural obscurants or interferences (jammers). The swarm realizes a collective set of sensor neurons with simple properties incorporating interactions based on basic community rules (potential fields) and complex interconnecting functions based on various neural network architectures, Therefore, the swarm is capable of redundant heterogeneous measurements which furnishes an additional degree of robustness and fault tolerance not afforded by conventional systems, while accomplishing such cognitive tasks as generalization, error correction, pattern recognition, and sensor fission. The robotic platforms could be equipped with specialized sensor devices including transmit/receive dipole antennas, chemical or biological sniffers in combination with recognition analysis tools, communication modulators, and laser diodes. Our group has been studying the collective behavior of an autonomous, multi-agent system applied to emerging threat applications. To accomplish such tasks, research in the fields of robotics, sensor technology, and swarms are being conducted within an integrated program. Mission scenarios under consideration include ground penetrating impulse radar (GPR) for detection of under-ground structures, airborne systems, and plume

  2. Mapping DSP algorithms to a reconfigurable architecture Adaptive Wireless Networking (AWGN)

    Rauwerda, Gerard

    2003-01-01

    This report will discuss the Adaptive Wireless Networking project. The vision of the Adaptive Wireless Networking project will be given. The strategy of the project will be the implementation of multiple communication systems in dynamically reconfigurable heterogeneous hardware. An overview of a wireless LAN communication system, namely HiperLAN/2, and a Bluetooth communication system will be given. Possible implementations of these systems in a dynamically reconfigurable architecture are dis...

  3. ACTRESS: Domain-Specific Modeling of Self-Adaptive Software Architectures

    Krikava, Filip; Collet, Philippe; France, Robert

    2014-01-01

    A common approach for engineering self-adaptive software systems is to use Feedback Control Loops (FCLs). Advances have led to more explicit and safer design of some control architectures, however, there is a need for more integrated and systematic approaches that support end-to-end integration of FCLs into software systems. In this paper, we propose a tooled approach that enables researchers and engineers to design and integrate adaptation mechanisms into software systems through FCLs. It co...

  4. Adaptive fault-tolerant architecture for unreliable technologies with heterogeneous variability

    Aymerich Capdevila, Nivard; Cotofana, Sorin; Rubio Sola, Jose Antonio

    2012-01-01

    This paper introduces an efficient adaptive redundant architecture, which makes use of the averaging cell (AVG) principle in order to improve the reliability of nanoscale circuits and systems. We propose an adaptive structure that is able to cope with nonhomogeneous variability and time-varying effects like degradation and external aggressions, which are expected to be key limiting factors in future technologies. First, we consider static heterogeneity of the input variability levels and deri...

  5. High Dynamic Range adaptive ΔΣ-based Focal Plane Array architecture

    Yao, Shun

    2012-10-16

    In this paper, an Adaptive Delta-Sigma based architecture for High Dynamic Range (HDR) Focal Plane Arrays is presented. The noise shaping effect of the Delta-Sigma modulation in the low end, and the distortion noise induced in the high end of Photo-diode current were analyzed in detail. The proposed architecture can extend the DR for about 20N log2 dB at the high end of Photo-diode current with an N bit Up-Down counter. At the low end, it can compensate for the larger readout noise by employing Extended Counting. The Adaptive Delta-Sigma architecture employing a 4-bit Up-Down counter achieved about 160dB in the DR, with a Peak SNR (PSNR) of 80dB at the high end. Compared to the other HDR architectures, the Adaptive Delta-Sigma based architecture provides the widest DR with the best SNR performance in the extended range.

  6. An Adaptive Cross-Architecture Combination Method for Graph Traversal

    You, Yang; Song, Shuaiwen; Kerbyson, Darren J.

    2014-06-18

    Breadth-First Search (BFS) is widely used in many real-world applications including computational biology, social networks, and electronic design automation. The combination method, using both top-down and bottom-up techniques, is the most effective BFS approach. However, current combination methods rely on trial-and-error and exhaustive search to locate the optimal switching point, which may cause significant runtime overhead. To solve this problem, we design an adaptive method based on regression analysis to predict an optimal switching point for the combination method at runtime within less than 0.1% of the BFS execution time.

  7. Fuselets: an agent based architecture for fusion of heterogeneous information and data

    Beyerer, Jürgen; Heizmann, Michael; Sander, Jennifer

    2006-04-01

    A new architecture for fusing information and data from heterogeneous sources is proposed. The approach takes criminalistics as a model. In analogy to the work of detectives, who attempt to investigate crimes, software agents are initiated that pursue clues and try to consolidate or to dismiss hypotheses. Like their human pendants, they can, if questions beyond their competences arise, consult expert agents. Within the context of a certain task, region, and time interval, specialized operations are applied to each relevant information source, e.g. IMINT, SIGINT, ACINT,..., HUMINT, data bases etc. in order to establish hit lists of first clues. Each clue is described by its pertaining facts, uncertainties, and dependencies in form of a local degree-of-belief (DoB) distribution in a Bayesian sense. For each clue an agent is initiated which cooperates with other agents and experts. Expert agents support to make use of different information sources. Consultations of experts, capable to access certain information sources, result in changes of the DoB of the pertaining clue. According to the significance of concentration of their DoB distribution clues are abandoned or pursued further to formulate task specific hypotheses. Communications between the agents serve to find out whether different clues belong to the same cause and thus can be put together. At the end of the investigation process, the different hypotheses are evaluated by a jury and a final report is created that constitutes the fusion result. The approach proposed avoids calculating global DoB distributions by adopting a local Bayesian approximation and thus reduces the complexity of the exact problem essentially. Different information sources are transformed into DoB distributions using the maximum entropy paradigm and considering known facts as constraints. Nominal, ordinal and cardinal quantities can be treated within this framework equally. The architecture is scalable by tailoring the number of agents

  8. An agent-based service-oriented integration architecture for chemical process automation

    Na Luo; Weimin Zhong; Feng Wan; Zhencheng Ye; Feng Qian

    2015-01-01

    In reality, traditional process control system built upon centralized and hierarchical structures presents a weak response to change and is easy to shut down by single failure. Aiming at these problems, a new agent-based service-oriented integration architecture was proposed for chemical process automation system. Web services were dynamical y orchestrated on the internet and agent behaviors were built in them. Data analysis, model, op-timization, control, fault diagnosis and so on were capsuled into different web services. Agents were used for ser-vice compositions by negotiation. A prototype system of poly(ethylene terephthalate) process automation was used as the case study to demonstrate the validation of the integration.

  9. Adaptation of pancreatic islet cyto-architecture during development

    Striegel, Deborah A.; Hara, Manami; Periwal, Vipul

    2016-04-01

    Plasma glucose in mammals is regulated by hormones secreted by the islets of Langerhans embedded in the exocrine pancreas. Islets consist of endocrine cells, primarily α, β, and δ cells, which secrete glucagon, insulin, and somatostatin, respectively. β cells form irregular locally connected clusters within islets that act in concert to secrete insulin upon glucose stimulation. Varying demands and available nutrients during development produce changes in the local connectivity of β cells in an islet. We showed in earlier work that graph theory provides a framework for the quantification of the seemingly stochastic cyto-architecture of β cells in an islet. To quantify the dynamics of endocrine connectivity during development requires a framework for characterizing changes in the probability distribution on the space of possible graphs, essentially a Fokker-Planck formalism on graphs. With large-scale imaging data for hundreds of thousands of islets containing millions of cells from human specimens, we show that this dynamics can be determined quantitatively. Requiring that rearrangement and cell addition processes match the observed dynamic developmental changes in quantitative topological graph characteristics strongly constrained possible processes. Our results suggest that there is a transient shift in preferred connectivity for β cells between 1–35 weeks and 12–24 months.

  10. Adaptation of pancreatic islet cyto-architecture during development.

    Striegel, Deborah A; Hara, Manami; Periwal, Vipul

    2016-01-01

    Plasma glucose in mammals is regulated by hormones secreted by the islets of Langerhans embedded in the exocrine pancreas. Islets consist of endocrine cells, primarily α, β, and δ cells, which secrete glucagon, insulin, and somatostatin, respectively. β cells form irregular locally connected clusters within islets that act in concert to secrete insulin upon glucose stimulation. Varying demands and available nutrients during development produce changes in the local connectivity of β cells in an islet. We showed in earlier work that graph theory provides a framework for the quantification of the seemingly stochastic cyto-architecture of β cells in an islet. To quantify the dynamics of endocrine connectivity during development requires a framework for characterizing changes in the probability distribution on the space of possible graphs, essentially a Fokker-Planck formalism on graphs. With large-scale imaging data for hundreds of thousands of islets containing millions of cells from human specimens, we show that this dynamics can be determined quantitatively. Requiring that rearrangement and cell addition processes match the observed dynamic developmental changes in quantitative topological graph characteristics strongly constrained possible processes. Our results suggest that there is a transient shift in preferred connectivity for β cells between 1-35 weeks and 12-24 months. PMID:27063927

  11. Fault-Tolerant Consensus of Multi-Agent System With Distributed Adaptive Protocol.

    Chen, Shun; Ho, Daniel W C; Li, Lulu; Liu, Ming

    2015-10-01

    In this paper, fault-tolerant consensus in multi-agent system using distributed adaptive protocol is investigated. Firstly, distributed adaptive online updating strategies for some parameters are proposed based on local information of the network structure. Then, under the online updating parameters, a distributed adaptive protocol is developed to compensate the fault effects and the uncertainty effects in the leaderless multi-agent system. Based on the local state information of neighboring agents, a distributed updating protocol gain is developed which leads to a fully distributed continuous adaptive fault-tolerant consensus protocol design for the leaderless multi-agent system. Furthermore, a distributed fault-tolerant leader-follower consensus protocol for multi-agent system is constructed by the proposed adaptive method. Finally, a simulation example is given to illustrate the effectiveness of the theoretical analysis. PMID:25415998

  12. A multi-agent architecture for sharing knowledge and experimental data about waste water treatment plants through the Internet

    In this paper, we present a first prototype of a local multi-agent architecture for the sharing of knowledge and experimental data about waste water treatment plants through the Internet, or more specifically the WWW. Applying a net browser such as nets cape, a user can have access to a CLIPS expert system (advising on waste water cleaning technologies) and experimental data files. The discussed local prototype is part of proposed global agent architecture. (authors)

  13. A Conceptual Architecture for Adaptive Human-Computer Interface of a PT Operation Platform Based on Context-Awareness

    Qing Xue; Xuan Han; Mingrui Li; Minxia Liu

    2014-01-01

    We present a conceptual architecture for adaptive human-computer interface of a PT operation platform based on context-awareness. This architecture will form the basis of design for such an interface. This paper describes components, key technologies, and working principles of the architecture. The critical contents covered context information modeling, processing, relationship establishing between contexts and interface design knowledge by use of adaptive knowledge reasoning, and visualizati...

  14. The New Agent: A Qualitative Study to Strategically Adapt New Agent Professional Development

    Baker, Lauri M.; Hadley, Gregg

    2014-01-01

    The qualitative study reported here assessed the needs of agents related to new agent professional development to improve the current model. Agents who participated in new agent professional development within the last 5 years were selected to participate in focus groups to determine concerns and continued needs. Agents enjoyed networking and…

  15. An Agent-Based Framework to Support Adaptive Hypermedia

    Bailey, Christopher P.

    2002-01-01

    The field of adaptive hypermedia is a little over a decade old. It has a rich history in a range of fields such as artificial intelligence, user modelling, intelligent tutoring systems and hypertext. Early adaptive hypermedia work concentrated on application-led research; developing a range of systems for specific purposes. In 1996, Peter Brusilovsky reviewed the state-of-the-art and proposed a taxonomy of adaptive hypermedia techniques, thereby providing the means to categorise adaptive hype...

  16. An Autonomous Mobile Agent-Based Distributed Learning Architecture-A Proposal and Analytical Analysis

    I. Ahmed M. J. SADIIG

    2005-10-01

    Full Text Available An Autonomous Mobile Agent-Based Distributed Learning Architecture-A Proposal and Analytical Analysis Dr. I. Ahmed M. J. SADIIG Department of Electrical & Computer EngineeringInternational Islamic University GombakKuala Lumpur-MALAYSIA ABSTRACT The traditional learning paradigm invoving face-to-face interaction with students is shifting to highly data-intensive electronic learning with the advances in Information and Communication Technology. An important component of the e-learning process is the delivery of the learning contents to their intended audience over a network. A distributed learning system is dependent on the network for the efficient delivery of its contents to the user. However, as the demand of information provision and utilization increases on the Internet, the current information service provision and utilization methods are becoming increasingly inefficient. Although new technologies have been employed for efficient learning methodologies within the context of an e-learning environment, the overall efficiency of the learning system is dependent on the mode of distribution and utilization of its learning contents. It is therefore imperative to employ new techniques to meet the service demands of current and future e-learning systems. In this paper, an architecture based on autonomous mobile agents creating a Faded Information Field is proposed. Unlike the centralized information distribution in a conventional e-learning system, the information is decentralized in the proposed architecture resulting in increased efficiency of the overall system for distribution and utilization of system learning contents efficiently and fairly. This architecture holds the potential to address the heterogeneous user requirements as well as the changing conditions of the underlying network.

  17. AN INTELLIGENT MOBILE-AGENT BASED SCALABLE NETWORK MANAGEMENT ARCHITECTURE FOR LARGE-SCALE ENTERPRISE SYSTEM

    A.K. Sharma

    2012-02-01

    Full Text Available Several Mobile Agent based distributed network management models have been proposed in recent times toaddress the scalability and flexibility problems of centralized (SNMP or CMIP management modelsmodels. Though the use of Mobile Agents to distribute and delegate management tasks comes handy indealing with the previously stated issues, many of the agent-based management frameworks like initial flatbed models and static mid-level managers employing mobile agents models cannot efficiently meet thedemands of current networks which are growing in size and complexity. Moreover, varied technologies,such as SONET, ATM, Ethernet, DWDM etc., present at different layers of the Access, Metro and Core(long haul sections of the network, have contributed to the complexity in terms of their own framing andprotocol structures. Thus, controlling and managing the traffic in these networks is a challenging task. Thispaper presents an intelligent scalable hierarchical agent based model for the management of large-scalecomplex networks to address aforesaid issues. The cost estimation, carried out with a view to compute theoverall management cost in terms of management data overhead, is being presented. The results obtainedthereafter establish the usefulness of the presented architecture as compare to centralized and flat bedagent based models.

  18. A generic architecture for an adaptive, interoperable and intelligent type 2 diabetes mellitus care system.

    Uribe, Gustavo A; Blobel, Bernd; López, Diego M; Schulz, Stefan

    2015-01-01

    Chronic diseases such as Type 2 Diabetes Mellitus (T2DM) constitute a big burden to the global health economy. T2DM Care Management requires a multi-disciplinary and multi-organizational approach. Because of different languages and terminologies, education, experiences, skills, etc., such an approach establishes a special interoperability challenge. The solution is a flexible, scalable, business-controlled, adaptive, knowledge-based, intelligent system following a systems-oriented, architecture-centric, ontology-based and policy-driven approach. The architecture of real systems is described, using the basics and principles of the Generic Component Model (GCM). For representing the functional aspects of a system the Business Process Modeling Notation (BPMN) is used. The system architecture obtained is presented using a GCM graphical notation, class diagrams and BPMN diagrams. The architecture-centric approach considers the compositional nature of the real world system and its functionalities, guarantees coherence, and provides right inferences. The level of generality provided in this paper facilitates use case specific adaptations of the system. By that way, intelligent, adaptive and interoperable T2DM care systems can be derived from the presented model as presented in another publication. PMID:25980858

  19. Security Architecture for On-Line Mutual Funds Trading With Multiple Mobile Agents

    Nirmala C R & V.Ramaswamy

    2011-01-01

    In this paper we propose a security architecture for the transaction procedure of On-Line MutualFund Trading system which is implemented using multi mobile agents that helps an individual,who is a kind of Do It yourself investor to invest her/his money in mutual funds online. Here, wemodify, design and implement the global standard which provides security for transactionprocessing in E-Commerce i.e. Secure Electronic Transactions (SET). This eliminates the fraudthat normally occurs during mon...

  20. Open multi-agent control architecture to support virtual-reality-based man-machine interfaces

    Freund, Eckhard; Rossmann, Juergen; Brasch, Marcel

    2001-10-01

    Projective Virtual Reality is a new and promising approach to intuitively operable man machine interfaces for the commanding and supervision of complex automation systems. The user interface part of Projective Virtual Reality heavily builds on latest Virtual Reality techniques, a task deduction component and automatic action planning capabilities. In order to realize man machine interfaces for complex applications, not only the Virtual Reality part has to be considered but also the capabilities of the underlying robot and automation controller are of great importance. This paper presents a control architecture that has proved to be an ideal basis for the realization of complex robotic and automation systems that are controlled by Virtual Reality based man machine interfaces. The architecture does not just provide a well suited framework for the real-time control of a multi robot system but also supports Virtual Reality metaphors and augmentations which facilitate the user's job to command and supervise a complex system. The developed control architecture has already been used for a number of applications. Its capability to integrate sensor information from sensors of different levels of abstraction in real-time helps to make the realized automation system very responsive to real world changes. In this paper, the architecture will be described comprehensively, its main building blocks will be discussed and one realization that is built based on an open source real-time operating system will be presented. The software design and the features of the architecture which make it generally applicable to the distributed control of automation agents in real world applications will be explained. Furthermore its application to the commanding and control of experiments in the Columbus space laboratory, the European contribution to the International Space Station (ISS), is only one example which will be described.

  1. Security Architecture for On-Line Mutual Funds Trading With Multiple Mobile Agents

    Nirmala C R & V.Ramaswamy

    2011-04-01

    Full Text Available In this paper we propose a security architecture for the transaction procedure of On-Line MutualFund Trading system which is implemented using multi mobile agents that helps an individual,who is a kind of Do It yourself investor to invest her/his money in mutual funds online. Here, wemodify, design and implement the global standard which provides security for transactionprocessing in E-Commerce i.e. Secure Electronic Transactions (SET. This eliminates the fraudthat normally occurs during money transaction on-line. Modified SET protocol providesauthentication of the participants, non-repudiation, data integrity and confidentiality. Thesefeatures give a guarantee of security during payment procedure. The system is implemented onAglets Framework - ASDK2.0.2 which is Mobile Agent Development platform and using javaprogramming language. The issues of security and performance are analyzed.

  2. An Extensible Agent Architecture for a Competitive Market-Based Allocation of Consumer Attention Space

    Hoen, 't, Pieter Jan; Bohte, Sander; Gerding, Enrico; La Poutré, Han

    2002-01-01

    A competitive distributed recommendation mechanism is introduced based on adaptive software agents for efficiently allocating the ``customer attention space'', or banners. In the example of an electronic shopping mall, the task of correctly profiling and analyzing the customers is delegated to the individual shops that operate in a distributed, remote fashion. The evaluation and classification of customers for the bidding on banners is not handled by a central agency as is customary, but is a...

  3. An Adaptive Security Model for Multi-agent Systems and Application to a Clinical Trials Environment

    Xiao, Liang; Peet, Andrew; Lewis, Paul; Dashmapatra, Srinandan; Sáez, Carlos; Croitoru, Madalina; de Vicente, Javier; Gonzalez-Velez, Horacio; Lluch i Ariet, Magí

    2007-01-01

    We present in this paper an adaptive security model for Multi-agent systems. A security meta-model has been developed in which the traditional role concept has been extended. The new concept incorporates the need of both security management as used by role-based access control (RBAC) and agent functional behaviour in agent-oriented Software Engineering (AOSE). Our approach avoids weaknesses of traditional RBAC approaches and provides a practically usable security model for Multi-agent Systems...

  4. Resource Management for Real-Time Adaptive Agents

    Welch, Lonnie; Chelberg, David; Pfarr, Barbara; Fleeman, David; Parrott, David; Tan, Zhen-Yu; Jain, Shikha; Drews, Frank; Bruggeman, Carl; Shuler, Chris

    2003-01-01

    Increased autonomy and automation in onboard flight systems offer numerous potential benefits, including cost reduction and greater flexibility. The existence of generic mechanisms for automation is critical for handling unanticipated science events and anomalies where limitations in traditional control software with fixed, predetermined algorithms can mean loss of science data and missed opportunities for observing important terrestrial events. We have developed such a mechanism by adding a Hierarchical Agent-based ReaLTime technology (HART) extension to our Dynamic Resource Management (DRM) middleware. Traditional DRM provides mechanisms to monitor the realtime performance of distributed applications and to move applications among processors to improve real-time performance. In the HART project we have designed and implemented a performance adaptation mechanism to improve reaktime performance. To use this mechanism, applications are developed that can run at various levels of quality. The DRM can choose a setting for the quality level of an application dynamically at run-time in order to manage satellite resource usage more effectively. A groundbased prototype of a satellite system that captures and processes images has also been developed as part of this project to be used as a benchmark for evaluating the resource management framework A significant enhancement of this generic mission-independent framework allows scientists to specify the utility, or "scientific benefit," of science observations under various conditions like cloud cover and compression method. The resource manager then uses these benefit tables to determine in redtime how to set the quality levels for applications to maximize overall system utility as defined by the scientists running the mission. We also show how maintenance functions llke health and safety data can be integrated into the utility framework. Once thls framework has been certified for missions and successfully flight tested it

  5. Smart swarms of bacteria-inspired agents with performance adaptable interactions.

    Adi Shklarsh

    2011-09-01

    Full Text Available Collective navigation and swarming have been studied in animal groups, such as fish schools, bird flocks, bacteria, and slime molds. Computer modeling has shown that collective behavior of simple agents can result from simple interactions between the agents, which include short range repulsion, intermediate range alignment, and long range attraction. Here we study collective navigation of bacteria-inspired smart agents in complex terrains, with adaptive interactions that depend on performance. More specifically, each agent adjusts its interactions with the other agents according to its local environment--by decreasing the peers' influence while navigating in a beneficial direction, and increasing it otherwise. We show that inclusion of such performance dependent adaptable interactions significantly improves the collective swarming performance, leading to highly efficient navigation, especially in complex terrains. Notably, to afford such adaptable interactions, each modeled agent requires only simple computational capabilities with short-term memory, which can easily be implemented in simple swarming robots.

  6. Genetic architecture of adaptation to novel environmental conditions in a predominantly selfing allopolyploid plant.

    Volis, S; Ormanbekova, D; Yermekbayev, K; Abugalieva, S; Turuspekov, Y; Shulgina, I

    2016-06-01

    Genetic architecture of adaptation is traditionally studied in the context of local adaptation, viz. spatially varying conditions experienced by the species. However, anthropogenic changes in the natural environment pose a new context to this issue, that is, adaptation to an environment that is new for the species. In this study, we used crossbreeding to analyze genetic architecture of adaptation to conditions not currently experienced by the species but with high probability of encounter in the near future due to global climate change. We performed targeted interpopulation crossing using genotypes from two core and two peripheral Triticum dicoccoides populations and raised the parents and three generations of hybrids in a greenhouse under simulated desert conditions to analyze the genetic architecture of adaptation to these conditions and an effect of gene flow from plants having different origin. The hybrid (F1) fitness did not differ from that of the parents in crosses where both plants originated from the species core, but in crosses involving one parent from the species core and another one from the species periphery the fitness of F1 was consistently higher than that of the periphery-originated parent. Plant fitness in the next two generations (F2 and F3) did not differ from the F1, suggesting that effects of epistatic interactions between recombining and segregating alleles of genes contributing to fitness were minor or absent. The observed low importance of epistatic gene interactions in allopolyploid T. dicoccoides and low probability of hybrid breakdown appear to be the result of permanent fixation of heterozygosity and lack of intergenomic recombination in this species. At the same time, predominant but not complete selfing combined with an advantage of bivalent pairing of homologous chromosomes appears to maintain high genetic variability in T. dicoccoides, greatly enhancing its adaptive ability. PMID:26837272

  7. ARTgrid: A Two-Level Learning Architecture Based on Adaptive Resonance Theory

    Marko Švaco

    2014-01-01

    Full Text Available This paper proposes a novel neural network architecture based on adaptive resonance theory (ART called ARTgrid that can perform both online and offline clustering of 2D object structures. The main novelty of the proposed architecture is a two-level categorization and search mechanism that can enhance computation speed while maintaining high performance in cases of higher vigilance values. ARTgrid is developed for specific robotic applications for work in unstructured environments with diverse work objects. For that reason simulations are conducted on random generated data which represents actual manipulation objects, that is, their respective 2D structures. ARTgrid verification is done through comparison in clustering speed with the fuzzy ART algorithm and Adaptive Fuzzy Shadow (AFS network. Simulation results show that by applying higher vigilance values (ρ>0.85 clustering performance of ARTgrid is considerably better, while lower vigilance values produce comparable results with the original fuzzy ART algorithm.

  8. Research of Smart Grid Cyber Architecture and Standards Deployment with High Adaptability for Security Monitoring

    Hu, Rui; Hu, Weihao; Chen, Zhe

    2015-01-01

    huge losses. Although OpenADR specificationsprovide continuous, secure and reliable two-way communications in application level defined in ISO model, which is also an open architecture for security is adopted by it and no specific or proprietary technologies is restricted to OpenADR itself. It is......Security Monitoring is a critical function for smart grid. As a consequence of strongly relying on communication, cyber security must be guaranteed by the specific system. Otherwise, the DR signals and bidding information can be easily forged or intercepted. Customers’ privacy and safety may suffer...... significant to develop a security monitoring system. This paper discussed the cyber architecture of smart grid with high adaptability for security monitoring. An adaptable structure with Demilitarized Zone (DMZ) is proposed. Focusing on this network structure, the rational utilization of standards is...

  9. Implementation of high-speed–low-power adaptive finite impulse response filter with novel architecture

    Manish Jaiswal

    2015-03-01

    Full Text Available An energy efficient high-speed adaptive finite impulse response filter with novel architecture is developed. Synthesis results along with novel architecture on different complementary metal–oxide semiconductor (CMOS families are presented. Analysis is performed using Artix-7, Spartan-6 and Virtex-4 for most popular adaptive least mean square filter for different orders such as N = 8, 16, 32. The presented work is done using MATLAB (2013b and Xilinx (14.2. From the synthesis results, it can be found that CMOS (28 nm achieves the lowest power and critical path delay compared to others, and thus proves its efficiency in terms of energy. Different parameters are considered such as look up tables and input–output blocks, along with their optimised results.

  10. Architecture and Knowledge-Driven Self-Adaptive Security in Smart Space

    Antti Evesti

    2013-03-01

    Full Text Available Dynamic and heterogeneous smart spaces cause challenges for security because it is impossible to anticipate all the possible changes at design-time. Self-adaptive security is an applicable solution for this challenge. This paper presents an architectural approach for security adaptation in smart spaces. The approach combines an adaptation loop, Information Security Measuring Ontology (ISMO and a smart space security-control model. The adaptation loop includes phases to monitor, analyze, plan and execute changes in the smart space. The ISMO offers input knowledge for the adaptation loop and the security-control model enforces dynamic access control policies. The approach is novel because it defines the whole adaptation loop and knowledge required in each phase of the adaptation. The contributions are validated as a part of the smart space pilot implementation. The approach offers reusable and extensible means to achieve adaptive security in smart spaces and up-to-date access control for devices that appear in the space. Hence, the approach supports the work of smart space application developers.

  11. Adaptive Multiclient Network-on-Chip Memory Core: Hardware Architecture, Software Abstraction Layer, and Application Exploration

    Diana Göhringer; Lukas Meder; Stephan Werner; Oliver Oey; Jürgen Becker; Michael Hübner

    2012-01-01

    This paper presents the hardware architecture and the software abstraction layer of an adaptive multiclient Network-on-Chip (NoC) memory core. The memory core supports the flexibility of a heterogeneous FPGA-based runtime adaptive multiprocessor system called RAMPSoC. The processing elements, also called clients, can access the memory core via the Network-on-Chip (NoC). The memory core supports a dynamic mapping of an address space for the different clients as well as different data transfer ...

  12. A cognitive decision agent architecture for optimal energy management of microgrids

    Highlights: • We propose an optimization approach for energy management in microgrids. • The optimizer emulates processes involved in human decision making. • Optimization objectives are energy self-consumption and financial gain maximization. • We gain improved optimization results in significantly reduced computation time. - Abstract: Via the integration of renewable energy and storage technologies, buildings have started to change from passive (electricity) consumers to active prosumer microgrids. Along with this development come a shift from centralized to distributed production and consumption models as well as discussions about the introduction of variable demand–supply-driven grid electricity prices. Together with upcoming ICT and automation technologies, these developments open space to a wide range of novel energy management and energy trading possibilities to optimally use available energy resources. However, what is considered as an optimal energy management and trading strategy heavily depends on the individual objectives and needs of a microgrid operator. Accordingly, elaborating the most suitable strategy for each particular system configuration and operator need can become quite a complex and time-consuming task, which can massively benefit from computational support. In this article, we introduce a bio-inspired cognitive decision agent architecture for optimized, goal-specific energy management in (interconnected) microgrids, which are additionally connected to the main electricity grid. For evaluating the performance of the architecture, a number of test cases are specified targeting objectives like local photovoltaic energy consumption maximization and financial gain maximization. Obtained outcomes are compared against a modified simulating annealing optimization approach in terms of objective achievement and computational effort. Results demonstrate that the cognitive decision agent architecture yields improved optimization results in

  13. Embedded TCP Agents for Near-Earth Communications Project

    National Aeronautics and Space Administration — Architecture Technology Corporation (ATC) will design, model, implement, and demonstrate extensible, embedded agents that will continuously adapt the behavior of...

  14. CONCEPTION OF BI-FOLD AUTHENTICATED AGENT – MONITORED TRANSACTION ARCHITECTURE

    Srivatsan Sridharan

    2014-06-01

    Full Text Available The aim of this paper is to provide an introduction towards the architectural design of a bi-fold authenticated agent-monitored transaction model. The focus is primarily on implementation in ATM systems which provide the following facilities of withdrawing currency at any remote terminal, verification of the end users identity using Personal Identification Number and an authentic One-Time-Session-Dependent Key generation and validation through the mobile. This system requires building up of an third party agent which would establish a secure session to the bank application with the terminal only after a series of authentication mechanism without compromising the privacy of any individual. The customers, without any insider privileges, can withdraw currency without being detected by any mechanisms of theft of card and eaves dropping of the Password from the card holders within the terminal software are also a major threat yet to be addressed. A basic solution is the terminals having bi-fold authentication mechanisms where mobile dependent one time session dependent key is being generated with authenticity being ensured and the confidentiality being maintained. In such a system, the correctness burden on the terminal’s code is significantly less as the customers have been given the chance to authorize themselves from their hand-held devices and are allowed to withdraw currency in terminal only after their identity is proved by a series of authentication procedures. In this paper along with the bi-fold authentication implementation, architectural design of the agent which is being introduced is also briefed.

  15. General Aspects of Constructing an Autonomous Adaptive Agent

    Pchelkin, Arthur

    2004-01-01

    There are a great deal of approaches in artificial intelligence, some of them also coming from biology and neirophysiology. In this paper we are making a review, discussing many of them, and arranging our discussion around the autonomous agent research. We highlight three aspect in our classification: type of abstraction applied for representing agent knowledge, the implementation of hypothesis processing mechanism, allowed degree of freedom in behaviour and self-organizing. U...

  16. Agility, Adaptability + Appropriateness: Conceiving, Crafting & Constructing an Architecture of the 21st Century

    Brian R. Sinclair,

    2012-12-01

    Full Text Available Architectural design in our current times has tended to generate buildings which, despite their aesthetic qualities, frequently prove static, rigid and intractable. The intense and significant production of architecture around the planet has created a situation whereby modification of the existing building stock is costly, difficult and at times implausible. Beginning in the mid-twentieth century architects began to more seriously question narrow design approaches and in response explored more open, mutable and responsive ways of building. Architects such as Kisho Kurokawa and Cedric Price, in an effort to envision more resilient & robust solutions, explored methods of design and construction which afforded greater user control, modification and customization of environments. As opposed to buildings in which users needed to adapt to environmental constraints, these progressive designers imagined spaces that adjusted to user needs. A significant challenge to these visionaries was a lag between thinking and technology – quite simply construction proved unable to fully address concept. Today the world has changed in dramatic ways, with advancements in technology, expectations of society, and a quest for greater sustainability all driving a push for more agile, adaptable and appropriate Architecture. The present paper critically contemplates the condition of contemporary building design, examines emerging trends, and postulates an innovative model & philosophy for realizing a more responsive, responsible and fitting Architecture for the 21st Century. While considering historical initiatives, theories and practices, the paper also examines contemporary applications and future possibilities, arguing that many forces hold promise to align in ways before unimaginable. Advancing from the established foundation of Open Building (OB research and practice, and building upon a holistic and inter-connected strategy (Sinclair 2009 for environmental design

  17. AN ADAPTIVE REUSABLE LEARNING OBJECT FOR E-LEARNING USING COGNITIVE ARCHITECTURE

    A.Kanimozhi

    2016-03-01

    Full Text Available Nowadays, a huge amount of ambiguous e-learning materials are available in World Wide Web irrespective of various objectives. These digital educational resources can be reused and shared from centralized online repository and it will avoid the redundant learning material. The main goal is to design consistent adaptable e-learning course material for web-based education system with emphasis on the quality of learning. This can be done by organizing learning object in a prescribed manner and it can be reused in feature. Such reusable learning objects are enhanced further to become adaptive reusable learning objects that are virtually cognitive and responsive towards the specific needs of the user/customer. This paper proposes the cognitive architecture to offer an adaptive reusable objects (RLO based on individual profile of e-learner besides their cognitive behaviour while learning.

  18. Adaptive multi-agent system for a washing machine production line

    Rodrigues, Nelson; Pereira, Arnaldo; Leitão, Paulo

    2013-01-01

    This paper describes the implementation of a multi-agent system in a real industrial washing machine production line aiming to integrate process and quality control, allowing the establishment of feedback control loops to support adaptation facing condition changes. For this purpose, the agent-based solution was implemented using the JADE framework, being the shared knowledge structured using a proper ontology, edited and validated in Protégé and posteriorly integrated in the multi-agent syst...

  19. Exploiting multi-agent systems in realizing adaptivity in the mobile tourist domain

    O'Hare, G. M. P.; O'Grady, Michael J; Poslad, Stefan; Titkov, Leonid

    2009-01-01

    Ongoing developments in an array of mobile computing technologies have rendered the deployment of intelligent agents feasible on lightweight computational devices such as mobile phones. This development extends the Multi-Agent System (MAS) paradigm to a new frontier, opening up significant avenues of research in intelligent mobile computing, amongst others. To demonstrate the potential of this approach, the practical realization of adaptivity in two classic agent-based mobile computing ...

  20. REQUIREMENT ANALYSIS, ARCHITECTURAL DESIGN AND FORMAL VERIFICATION OF A MULTI-AGENT BASED UNIVERSITY INFORMATION MANAGEMENT SYSTEM

    Nadeem AKHTAR

    2014-12-01

    Full Text Available This paper presents an approach based on the analysis, design, and formal verification of a multi-agent based university Information Management System (IMS. University IMS accesses information, creates reports and facilitates teachers as well as students. An orchestrator agent manages the coordination between all agents. It also manages the database connectivity for the whole system. The proposed IMS is based on BDI agent architecture, which models the system based on belief, desire, and intentions. The correctness properties of safety and liveness are specified by First-order predicate logic.

  1. Analysis and Design of a Context Adaptable SAD/MSE Architecture

    Arvind Sudarsanam

    2009-01-01

    Full Text Available Design of flexible multimedia accelerators that can cater to multiple algorithms is being aggressively pursued in the media processors community. Such an approach is justified in the era of sub-45 nm technology where an increasingly dominating leakage power component is forcing designers to make the best possible use of on-chip resources. In this paper we present an analysis of two commonly used window-based operations (sum of absolute differences and mean squared error across a variety of search patterns and block sizes (2×3, 5×5, etc.. We propose a context adaptable architecture that has (i configurable 2D systolic array and (ii 2D Configurable Register Array (CRA. CRA can cater to variable pixel access patterns while reusing fetched pixels across search windows. Benefits of proposed architecture when compared to 15 other published architectures are adaptability, high throughput, and low latency at a cost of increased footprint, when ported on a Xilinx FPGA.

  2. Automated detection scheme of architectural distortion in mammograms using adaptive Gabor filter

    Yoshikawa, Ruriha; Teramoto, Atsushi; Matsubara, Tomoko; Fujita, Hiroshi

    2013-03-01

    Breast cancer is a serious health concern for all women. Computer-aided detection for mammography has been used for detecting mass and micro-calcification. However, there are challenges regarding the automated detection of the architectural distortion about the sensitivity. In this study, we propose a novel automated method for detecting architectural distortion. Our method consists of the analysis of the mammary gland structure, detection of the distorted region, and reduction of false positive results. We developed the adaptive Gabor filter for analyzing the mammary gland structure that decides filter parameters depending on the thickness of the gland structure. As for post-processing, healthy mammary glands that run from the nipple to the chest wall are eliminated by angle analysis. Moreover, background mammary glands are removed based on the intensity output image obtained from adaptive Gabor filter. The distorted region of the mammary gland is then detected as an initial candidate using a concentration index followed by binarization and labeling. False positives in the initial candidate are eliminated using 23 types of characteristic features and a support vector machine. In the experiments, we compared the automated detection results with interpretations by a radiologist using 50 cases (200 images) from the Digital Database of Screening Mammography (DDSM). As a result, true positive rate was 82.72%, and the number of false positive per image was 1.39. There results indicate that the proposed method may be useful for detecting architectural distortion in mammograms.

  3. Experimental Investigation of Human Adaptation to Change in Agent's Strategy through a Competitive Two-Player Game

    Terada, Kazunori; Yamada, Seiji; Ito, Akira

    We conducted an experimental investigation on human adaptation to change in an agent's strategy through a competitive two-player game. Modeling the process of human adaptation to agents is important for designing intelligent interface agents and adaptive user interfaces that learn a user's preferences and behavior strategy. However, few studies on human adaptation to such an agent have been done. We propose a human adaptation model for a two-player game. We prepared an on-line experimental system in which a participant and an agent play a repeated penny-matching game with a bonus round. We then conducted experiments in which different opponent agents (human or robot) change their strategy during the game. The experimental results indicated that, as expected, there is an adaptation phase when a human is confronted with a change in the opponent agent's strategy, and adaptation is faster when a human is competing with robot than with another human.

  4. The Emergence of Agent-Based Technology as an Architectural Component of Serious Games

    Phillips, Mark; Scolaro, Jackie; Scolaro, Daniel

    2010-01-01

    The evolution of games as an alternative to traditional simulations in the military context has been gathering momentum over the past five years, even though the exploration of their use in the serious sense has been ongoing since the mid-nineties. Much of the focus has been on the aesthetics of the visuals provided by the core game engine as well as the artistry provided by talented development teams to produce not only breathtaking artwork, but highly immersive game play. Consideration of game technology is now so much a part of the modeling and simulation landscape that it is becoming difficult to distinguish traditional simulation solutions from game-based approaches. But games have yet to provide the much needed interactive free play that has been the domain of semi-autonomous forces (SAF). The component-based middleware architecture that game engines provide promises a great deal in terms of options for the integration of agent solutions to support the development of non-player characters that engage the human player without the deterministic nature of scripted behaviors. However, there are a number of hard-learned lessons on the modeling and simulation side of the equation that game developers have yet to learn, such as: correlation of heterogeneous systems, scalability of both terrain and numbers of non-player entities, and the bi-directional nature of simulation to game interaction provided by Distributed Interactive Simulation (DIS) and High Level Architecture (HLA).

  5. A Biomimetic Adaptive Algorithm and Low-Power Architecture for Implantable Neural Decoders

    Rapoport, Benjamin I.; Wattanapanitch, Woradorn; Penagos, Hector L.; Musallam, Sam; Andersen, Richard A.; Sarpeshkar, Rahul

    2010-01-01

    Algorithmically and energetically efficient computational architectures that operate in real time are essential for clinically useful neural prosthetic devices. Such devices decode raw neural data to obtain direct control signals for external devices. They can also perform data compression and vastly reduce the bandwidth and consequently power expended in wireless transmission of raw data from implantable brain-machine interfaces. We describe a biomimetic algorithm and micropower analog circuit architecture for decoding neural cell ensemble signals. The decoding algorithm implements a continuous-time artificial neural network, using a bank of adaptive linear filters with kernels that emulate synaptic dynamics. The filters transform neural signal inputs into control-parameter outputs, and can be tuned automatically in an on-line learning process. We provide experimental validation of our system using neural data from thalamic head-direction cells in an awake behaving rat. PMID:19964345

  6. Adaptive Neuron Model: An architecture for the rapid learning of nonlinear topological transformations

    Tawel, Raoul (Inventor)

    1994-01-01

    A method for the rapid learning of nonlinear mappings and topological transformations using a dynamically reconfigurable artificial neural network is presented. This fully-recurrent Adaptive Neuron Model (ANM) network was applied to the highly degenerate inverse kinematics problem in robotics, and its performance evaluation is bench-marked. Once trained, the resulting neuromorphic architecture was implemented in custom analog neural network hardware and the parameters capturing the functional transformation downloaded onto the system. This neuroprocessor, capable of 10(exp 9) ops/sec, was interfaced directly to a three degree of freedom Heathkit robotic manipulator. Calculation of the hardware feed-forward pass for this mapping was benchmarked at approximately 10 microsec.

  7. Adaptive Security Architecture based on EC-MQV Algorithm in Personal Network (PN)

    Mihovska, Albena D.; Prasad, Neeli R.

    2007-01-01

    Abstract — Personal Networks (PNs) have been focused on in order to support the user’s business and private activities without jeopardizing privacy and security of the users and their data. In such a network, it is necessary to produce a proper key agreement method according to the feature...... of the network. One of the features of the network is that the personal devices have deferent capabilities such as computational ability, memory size, transmission power, processing speed and implementation cost. Therefore an adaptive security mechanism should be contrived for such a network of various device...... combinations based on user’s location and device’s capability. The paper proposes new adaptive security architecture with three levels of asymmetric key agreement scheme by using context-aware security manager (CASM) based on elliptic curve cryptosystem (EC-MQV)....

  8. AN ARCHITECTURAL-MODEL FOR CONTEXT AWARE ADAPTIVE DELIVERY OF LEARNING MATERIAL

    Kalla. Madhu Sudhana

    2013-11-01

    Full Text Available The web based learning has become more complex to search required learning resources with continuously growing digital learning contents which are entangled with structural and semantic interrelationship. Meanwhile, the rapid development of communication technology lead to heterogeneity of learning devices than it was in the early stage. The context-aware adaptive learning environment has become a promising solution to these searching and presentation problems in educational domain. To solve this context aware learning content delivery problem, we proposed a novel architectural model based on MVC (Model–View–Controller design pattern, that is able to perform personalized adaptive delivery of course content according to learner contextual information such as learning style and characteristics of the learning device using an ontological approach.

  9. Experimental demonstration of an adaptive architecture for direct spectral imaging classification.

    Dunlop-Gray, Matthew; Poon, Phillip K; Golish, Dathon; Vera, Esteban; Gehm, Michael E

    2016-08-01

    Spectral imaging is a powerful tool for providing in situ material classification across a spatial scene. Typically, spectral imaging analyses are interested in classification, though often the classification is performed only after reconstruction of the spectral datacube. We present a computational spectral imaging system, the Adaptive Feature-Specific Spectral Imaging Classifier (AFSSI-C), which yields direct classification across the spatial scene without reconstruction of the source datacube. With a dual disperser architecture and a programmable spatial light modulator, the AFSSI-C measures specific projections of the spectral datacube which are generated by an adaptive Bayesian classification and feature design framework. We experimentally demonstrate multiple order-of-magnitude improvement of classification accuracy in low signal-to-noise (SNR) environments when compared to legacy spectral imaging systems. PMID:27505794

  10. Adaptive Remote-Sensing Techniques Implementing Swarms of Mobile Agents

    Asher, R.B.; Cameron, S.M.; Loubriel, G.M.; Robinett, R.D.; Stantz, K.M.; Trahan, M.W.; Wagner, J.S.

    1998-11-25

    In many situations, stand-off remote-sensing and hazard-interdiction techniques over realistic operational areas are often impractical "and difficult to characterize. An alternative approach is to implement an adap- tively deployable array of sensitive agent-specific devices. Our group has been studying the collective be- havior of an autonomous, multi-agent system applied to chedbio detection and related emerging threat applications, The current physics-based models we are using coordinate a sensor array for mukivanate sig- nal optimization and coverage as re,alized by a swarm of robots or mobile vehicles. These intelligent control systems integrate'glob"ally operating decision-making systems and locally cooperative learning neural net- works to enhance re+-timp operational responses to dynarnical environments examples of which include obstacle avoidance, res~onding to prevailing wind patterns, and overcoming other natural obscurants or in- terferences. Collectively',tkensor nefirons with simple properties, interacting according to basic community rules, can accomplish complex interconnecting functions such as generalization, error correction, pattern recognition, sensor fusion, and localization. Neural nets provide a greater degree of robusmess and fault tolerance than conventional systems in that minor variations or imperfections do not impair performance. The robotic platforms would be equipped with sensor devices that perform opticaI detection of biologicais in combination with multivariate chemical analysis tools based on genetic and neural network algorithms, laser-diode LIDAR analysis, ultra-wideband short-pulsed transmitting and receiving antennas, thermal im- a:ing sensors, and optical Communication technology providing robust data throughput pathways. Mission scenarios under consideration include ground penetrating radar (GPR) for detection of underground struc- tures, airborne systems, and plume migration and mitigation. We will describe our

  11. Architecture for novel energy infrastructures. Multi-agent based coordination patterns

    Due to the increased proportion of small renewable energy sources in a distributed setting (DG-RES), active control of small distributed energy producing and consuming systems will play an important role in future electricity grids. These distributed energy resources have production patterns, which are either partially stochastic (e.g. wind, solar cells) or are coupled to the primary user process (e.g. co-generation of heat and electricity). Furthermore, on the demand-side, and increasingly on the electricity storage side, opportunities exist for actively serving stability applications in the grid by real-time supply/demand coordination. In the future, an information and communication layer for grid coordination could serve a portfolio of ICT-applications on timescales running from seconds to hours. To get a grip on these (r)evolutionary developments, possibly toppling the electricity grid, in this paper, architecture requirements for future high proportion DG-RES electricity grids are collected from a Power Electronics System point of view as well as from an ICT point of view using an inventory of business models in the power grid that focus on coordination of multiple small-scale DG-RES resources. Modeled from an ICT point-of-view, these give rise to architectures for applications that can successively be implemented in hardware and software as active components in the distribution grid. A number of possible grid control strategy coordination patterns (GCPs), which are defined in a generic, reusable manner, can be seen to emerge. GCPs, connected and intertwined to one another on several layers (physical, commercial) of the grid, together, can provide the framework for coordination in the overall intelligent grid. Bottom-up approaches of implementing coordination in future active grids appear to be the method of choice to use in implementing the GCPs. Software agents coordinating primary processes using market algorithms, as implemented in the Power

  12. A High-Throughput, Adaptive FFT Architecture for FPGA-Based Space-Borne Data Processors

    Nguyen, Kayla; Zheng, Jason; He, Yutao; Shah, Biren

    2010-01-01

    Historically, computationally-intensive data processing for space-borne instruments has heavily relied on ground-based computing resources. But with recent advances in functional densities of Field-Programmable Gate-Arrays (FPGAs), there has been an increasing desire to shift more processing on-board; therefore relaxing the downlink data bandwidth requirements. Fast Fourier Transforms (FFTs) are commonly used building blocks for data processing applications, with a growing need to increase the FFT block size. Many existing FFT architectures have mainly emphasized on low power consumption or resource usage; but as the block size of the FFT grows, the throughput is often compromised first. In addition to power and resource constraints, space-borne digital systems are also limited to a small set of space-qualified memory elements, which typically lag behind the commercially available counterparts in capacity and bandwidth. The bandwidth limitation of the external memory creates a bottleneck for a large, high-throughput FFT design with large block size. In this paper, we present the Multi-Pass Wide Kernel FFT (MPWK-FFT) architecture for a moderately large block size (32K) with considerations to power consumption and resource usage, as well as throughput. We will also show that the architecture can be easily adapted for different FFT block sizes with different throughput and power requirements. The result is completely contained within an FPGA without relying on external memories. Implementation results are summarized.

  13. The Telesupervised Adaptive Ocean Sensor Fleet (TAOSF) Architecture: Coordination of Multiple Oceanic Robot Boats

    Elfes, Alberto; Podnar, Gregg W.; Dolan, John M.; Stancliff, Stephen; Lin, Ellie; Hosler, Jeffrey C.; Ames, Troy J.; Higinbotham, John; Moisan, John R.; Moisan, Tiffany A.; Kulczycki, Eric A.

    2008-01-01

    Earth science research must bridge the gap between the atmosphere and the ocean to foster understanding of Earth s climate and ecology. Ocean sensing is typically done with satellites, buoys, and crewed research ships. The limitations of these systems include the fact that satellites are often blocked by cloud cover, and buoys and ships have spatial coverage limitations. This paper describes a multi-robot science exploration software architecture and system called the Telesupervised Adaptive Ocean Sensor Fleet (TAOSF). TAOSF supervises and coordinates a group of robotic boats, the OASIS platforms, to enable in-situ study of phenomena in the ocean/atmosphere interface, as well as on the ocean surface and sub-surface. The OASIS platforms are extended deployment autonomous ocean surface vehicles, whose development is funded separately by the National Oceanic and Atmospheric Administration (NOAA). TAOSF allows a human operator to effectively supervise and coordinate multiple robotic assets using a sliding autonomy control architecture, where the operating mode of the vessels ranges from autonomous control to teleoperated human control. TAOSF increases data-gathering effectiveness and science return while reducing demands on scientists for robotic asset tasking, control, and monitoring. The first field application chosen for TAOSF is the characterization of Harmful Algal Blooms (HABs). We discuss the overall TAOSF architecture, describe field tests conducted under controlled conditions using rhodamine dye as a HAB simulant, present initial results from these tests, and outline the next steps in the development of TAOSF.

  14. 3D-SoftChip: A Novel Architecture for Next-Generation Adaptive Computing Systems

    Lee Mike Myung-Ok

    2006-01-01

    Full Text Available This paper introduces a novel architecture for next-generation adaptive computing systems, which we term 3D-SoftChip. The 3D-SoftChip is a 3-dimensional (3D vertically integrated adaptive computing system combining state-of-the-art processing and 3D interconnection technology. It comprises the vertical integration of two chips (a configurable array processor and an intelligent configurable switch through an indium bump interconnection array (IBIA. The configurable array processor (CAP is an array of heterogeneous processing elements (PEs, while the intelligent configurable switch (ICS comprises a switch block, 32-bit dedicated RISC processor for control, on-chip program/data memory, data frame buffer, along with a direct memory access (DMA controller. This paper introduces the novel 3D-SoftChip architecture for real-time communication and multimedia signal processing as a next-generation computing system. The paper further describes the advanced HW/SW codesign and verification methodology, including high-level system modeling of the 3D-SoftChip using SystemC, being used to determine the optimum hardware specification in the early design stage.

  15. ADAPTIVE REUSE FOR NEW SOCIAL AND MUNICIPAL FUNCTIONS AS AN ACCEPTABLE APPROACH FOR CONSERVATION OF INDUSTRIAL HERITAGE ARCHITECTURE IN THE CZECH REPUBLIC

    Oleg Fetisov

    2016-04-01

    Full Text Available The present paper deals with a problem of conservation and adaptive reuse of industrial heritage architecture. The relevance and topicality of the problem of adaptive reuse of industrial heritage architecture for new social and municipal functions as the conservation concept are defined. New insights on the typology of industrial architecture are reviewed (e. g. global changes in all European industry, new concepts and technologies in manufacturing, new features of industrial architecture and their construction and typology, first results of industrialization and changes in the typology of industrial architecture in post-industrial period. General goals and tasks of conservation in context of adaptive reuse of industrial heritage architecture are defined (e. g. historical, architectural and artistic, technical. Adaptive reuse as an acceptable approach for conservation and new use is proposed and reviewed. Moreover, the logical model of adaptive reuse of industrial heritage architecture as an acceptable approach for new use has been developed. Consequently, three general methods for the conservation of industrial heritage architecture by the adaptive reuse approach are developed: historical, architectural and artistic, technical. Relevant functional methods' concepts (social concepts are defined and classified. General beneficial effect of the adaptive reuse approach is given. On the basis of analysis results of experience in adaptive reuse of industrial architecture with new social functions general conclusions are developed.

  16. Distributed adaptive fuzzy iterative learning control of coordination problems for higher order multi-agent systems

    Li, Jinsha; Li, Junmin

    2016-07-01

    In this paper, the adaptive fuzzy iterative learning control scheme is proposed for coordination problems of Mth order (M ≥ 2) distributed multi-agent systems. Every follower agent has a higher order integrator with unknown nonlinear dynamics and input disturbance. The dynamics of the leader are a higher order nonlinear systems and only available to a portion of the follower agents. With distributed initial state learning, the unified distributed protocols combined time-domain and iteration-domain adaptive laws guarantee that the follower agents track the leader uniformly on [0, T]. Then, the proposed algorithm extends to achieve the formation control. A numerical example and a multiple robotic system are provided to demonstrate the performance of the proposed approach.

  17. Designing Adaptive Artificial Agents for an Economic Production and Conflict Model

    Hassani-M, Behrooz; Parris, Brett W.

    Production and conflict models have been used over the past 30 years to represent the effects of unproductive resource allocation in economics. Their major applications are in modelling the assignment of property rights, rent-seeking and defense economics. This paper describes the process of designing an agent used in a production and conflict model. Using the capabilities of an agent-based approach to economic modelling, we have enriched a simple decision-maker of the kind used in classic general equilibrium economic models, to build an adaptive and interactive agent which uses its own attributes, its neighbors' parameters and information from its environment to make resource allocation decisions. Our model presents emergent and adaptive behaviors than cannot be captured using classic production and conflict agents. Some possible extensions for future applications are also recommended.

  18. The Effect of Number of Agents on Optimization of adaptivity Join Queries in Heterogeneous Distributed Databases

    Amir ASIL

    2013-01-01

    Full Text Available Distributed systems signify data distribution, association of activities, and controlling the distributed components of the system. Distributed systems are mostly used to share the workload or transfer data processing functions to a place nearer to those functions. This important task should be mentioned in database query optimization. The growing need for optimizing query processing in databases has given rise to many methods of doing this. This article provides a multi-agent system for heterogeneous distributed databases by combining optimization techniques for processing queries in databases and adaptivity. In this system the effect of the number of agents on optimization of query processing in Heterogeneous distributed databases will be analyzed. In this system an agent has been added to make the database adaptable. In this system the greatness of the effect of number of agents on optimization of processing of joined queries has been analyzed.

  19. Distributed Adaptive Consensus Protocols for Linear Multi-agent Systems with Directed Graphs and External Disturbances

    LI, ZHONGKUI; Duan, Zhisheng

    2014-01-01

    This paper addresses the distributed consensus design problem for linear multi-agent systems with directed communication graphs and external disturbances. Both the cases with strongly connected communication graphs and leader-follower graphs containing a directed spanning tree with the leader as the root are discussed. Distributed adaptive consensus protocols based on the relative states of neighboring agents are designed, which can ensure the ultimate boundedness of the consensus error and a...

  20. Numerical relations and skill level constrain co-adaptive behaviors of agents in sports teams

    Silva, Pedro; Travassos, Bruno; Vilar, Luís; Aguiar, Paulo; Davids, Keith; Araújo, Duarte; Garganta, Júlio

    2014-01-01

    Similar to other complex systems in nature (e.g., a hunting pack, flocks of birds), sports teams have been modeled as social neurobiological systems in which interpersonal coordination tendencies of agents underpin team swarming behaviors. Swarming is seen as the result of agent co-adaptation to ecological constraints of performance environments by collectively perceiving specific possibilities for action (affordances for self and shared affordances). A major principle of invasion team sports...

  1. ADAPTIVE REUSE FOR NEW SOCIAL AND MUNICIPAL FUNCTIONS AS AN ACCEPTABLE APPROACH FOR CONSERVATION OF INDUSTRIAL HERITAGE ARCHITECTURE IN THE CZECH REPUBLIC

    Oleg Fetisov

    2016-01-01

    The present paper deals with a problem of conservation and adaptive reuse of industrial heritage architecture. The relevance and topicality of the problem of adaptive reuse of industrial heritage architecture for new social and municipal functions as the conservation concept are defined. New insights on the typology of industrial architecture are reviewed (e. g. global changes in all European industry, new concepts and technologies in manufacturing, new features of industrial architecture and...

  2. A distributed agent architecture for real-time knowledge-based systems: Real-time expert systems project, phase 1

    Lee, S. Daniel

    1990-01-01

    We propose a distributed agent architecture (DAA) that can support a variety of paradigms based on both traditional real-time computing and artificial intelligence. DAA consists of distributed agents that are classified into two categories: reactive and cognitive. Reactive agents can be implemented directly in Ada to meet hard real-time requirements and be deployed on on-board embedded processors. A traditional real-time computing methodology under consideration is the rate monotonic theory that can guarantee schedulability based on analytical methods. AI techniques under consideration for reactive agents are approximate or anytime reasoning that can be implemented using Bayesian belief networks as in Guardian. Cognitive agents are traditional expert systems that can be implemented in ART-Ada to meet soft real-time requirements. During the initial design of cognitive agents, it is critical to consider the migration path that would allow initial deployment on ground-based workstations with eventual deployment on on-board processors. ART-Ada technology enables this migration while Lisp-based technologies make it difficult if not impossible. In addition to reactive and cognitive agents, a meta-level agent would be needed to coordinate multiple agents and to provide meta-level control.

  3. Cooperative control of multi-agent systems optimal and adaptive design approaches

    Lewis, Frank L; Hengster-Movric, Kristian; Das, Abhijit

    2014-01-01

    Task complexity, communication constraints, flexibility and energy-saving concerns are all factors that may require a group of autonomous agents to work together in a cooperative manner. Applications involving such complications include mobile robots, wireless sensor networks, unmanned aerial vehicles (UAVs), spacecraft, and so on. In such networked multi-agent scenarios, the restrictions imposed by the communication graph topology can pose severe problems in the design of cooperative feedback control systems.  Cooperative control of multi-agent systems is a challenging topic for both control theorists and practitioners and has been the subject of significant recent research. Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs.  It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design.  B...

  4. A step towards developing adaptive robot-mediated intervention architecture (ARIA) for children with autism.

    Bekele, Esubalew T; Lahiri, Uttama; Swanson, Amy R; Crittendon, Julie A; Warren, Zachary E; Sarkar, Nilanjan

    2013-03-01

    Emerging technology, especially robotic technology, has been shown to be appealing to children with autism spectrum disorders (ASD). Such interest may be leveraged to provide repeatable, accurate and individualized intervention services to young children with ASD based on quantitative metrics. However, existing robot-mediated systems tend to have limited adaptive capability that may impact individualization. Our current work seeks to bridge this gap by developing an adaptive and individualized robot-mediated technology for children with ASD. The system is composed of a humanoid robot with its vision augmented by a network of cameras for real-time head tracking using a distributed architecture. Based on the cues from the child's head movement, the robot intelligently adapts itself in an individualized manner to generate prompts and reinforcements with potential to promote skills in the ASD core deficit area of early social orienting. The system was validated for feasibility, accuracy, and performance. Results from a pilot usability study involving six children with ASD and a control group of six typically developing (TD) children are presented. PMID:23221831

  5. High-Throughput, Adaptive FFT Architecture for FPGA-Based Spaceborne Data Processors

    NguyenKobayashi, Kayla; Zheng, Jason X.; He, Yutao; Shah, Biren N.

    2011-01-01

    Exponential growth in microelectronics technology such as field-programmable gate arrays (FPGAs) has enabled high-performance spaceborne instruments with increasing onboard data processing capabilities. As a commonly used digital signal processing (DSP) building block, fast Fourier transform (FFT) has been of great interest in onboard data processing applications, which needs to strike a reasonable balance between high-performance (throughput, block size, etc.) and low resource usage (power, silicon footprint, etc.). It is also desirable to be designed so that a single design can be reused and adapted into instruments with different requirements. The Multi-Pass Wide Kernel FFT (MPWK-FFT) architecture was developed, in which the high-throughput benefits of the parallel FFT structure and the low resource usage of Singleton s single butterfly method is exploited. The result is a wide-kernel, multipass, adaptive FFT architecture. The 32K-point MPWK-FFT architecture includes 32 radix-2 butterflies, 64 FIFOs to store the real inputs, 64 FIFOs to store the imaginary inputs, complex twiddle factor storage, and FIFO logic to route the outputs to the correct FIFO. The inputs are stored in sequential fashion into the FIFOs, and the outputs of each butterfly are sequentially written first into the even FIFO, then the odd FIFO. Because of the order of the outputs written into the FIFOs, the depth of the even FIFOs, which are 768 each, are 1.5 times larger than the odd FIFOs, which are 512 each. The total memory needed for data storage, assuming that each sample is 36 bits, is 2.95 Mbits. The twiddle factors are stored in internal ROM inside the FPGA for fast access time. The total memory size to store the twiddle factors is 589.9Kbits. This FFT structure combines the benefits of high throughput from the parallel FFT kernels and low resource usage from the multi-pass FFT kernels with desired adaptability. Space instrument missions that need onboard FFT capabilities such as the

  6. Adaptive learning in agents behaviour: A framework for electricity markets simulation

    Pinto, Tiago; Vale, Zita; Sousa, Tiago M.;

    2014-01-01

    decision support to MASCEM's negotiating agents so that they can properly achieve their goals. ALBidS uses artificial intelligence methodologies and data analysis algorithms to provide effective adaptive learning capabilities to such negotiating entities. The main contribution is provided by a methodology...

  7. An Integrated Agent-Based Architecture and Performance Optimization of VANET using Agent Packet Size Reduction Process

    T.Karthikeyan

    2014-01-01

    Full Text Available The advancements of Information Technology have led to many developments that make life easier and faster with high reachability and efficiency. There is a drastic improvement in the area of distributed applications with the advent of mobile agent technology over the usual client/server framework. Applying mobile agent technology in the area of distributed applications improves the performance and quality of service. Mobile agent technologies in particular have taken a prominent place in handling effective road and vehicle traffic (VANET. This paper highlights on the integration of previously defined MATLB, PCM and MSA Agent and proposes an approach for reducing the size of the mobile agent that helps in data collection of vehicles in the VANET for effective and efficient traffic control. This paper is an advancement of agent load shedding algorithm and an attempt to optimize the size reduction process. This reduction in size of mobile agents will enhance the performance of VANET making the agents more acceptable by the hosts and correspondingly building an effective co-operative vehicular network.

  8. Adaptive Agent Model with Hybrid Routing Selection Strategy for Improving the Road-Network Congestion Problem

    Bin Jiang; Chao Yang; Takao Terano

    2015-01-01

    This paper proposes an adaptive agent model with a hybrid routing selection strategy for studying the road⁃network congestion problem. We focus on improving those severely congested links. Firstly, a multi⁃agent system is built, where each agent stands for a vehicle, and it makes its routing selection by considering the shortest path and the minimum congested degree of the target link simultaneously. The agent⁃based model captures the nonlinear feedback between vehicle routing behaviors and road⁃network congestion status. Secondly, a hybrid routing selection strategy is provided, which guides the vehicle routes adapting to the real⁃time road⁃network congestion status. On this basis, we execute simulation experiments and compare the simulation results of network congestion distribution, by Floyd agent with shortest path strategy and our proposed adaptive agent with hybrid strategy. The simulation results show that our proposed model has reduced the congestion degree of those seriously congested links of road⁃network. Finally, we execute our model on a real road map. The results finds that those seriously congested roads have some common features such as located at the road junction or near the unique road connecting two areas. And, the results also show an effectiveness of our model on reduction of those seriously congested links in this actual road network. Such a bottom⁃up congestion control approach with a hybrid congestion optimization perspective will have its significance for actual traffic congestion control.

  9. 基于规范的 Agent 混合结构模型研究%ON AGENT HYBRID ARCHITECTURE MODEL BASED ON NORM

    杨海泷; 赵军

    2016-01-01

    Along with the continuous increase of the complexity of problems in management practices,computational experiments emerges as the times requiring.The rationality of Agent model construction,which is the subject in computational experiment method,has direct influence on the implementation and operation of the simulation system.Based on analysing the Agent concept,characteristics and existing Agent models,and combining with the theories related to management science,norm and computational experiments,this paper puts forward a norm-based Agent hybrid architecture model,and presents a base class design of Agent.At last the simulation is made on a practical example based on Swarm platform.Simulation results show that the Agent model has the feasibility,and is suitable for multi-Agent modelling in computational experiment method of management science field.%随着管理问题复杂性不断提高,计算实验方法应运而生。Agent 作为计算实验方法中的主体,其模型构建的合理与否直接影响到仿真系统的实现与运行。通过研究 Agent 概念、特点以及已有 Agent 模型,结合管理科学、规范和计算实验相关理论,提出一种基于规范的 Agent 混合结构模型,并给出 Agent 的基类设计。最后,运用 Swarm 平台对一个实际案例进行仿真。仿真结果证明,该 Agent 模型具有可行性,适合于管理科学领域计算实验方法中的多 Agent 建模。

  10. Autotuning of Adaptive Mesh Refinement PDE Solvers on Shared Memory Architectures

    Nogina, Svetlana

    2012-01-01

    Many multithreaded, grid-based, dynamically adaptive solvers for partial differential equations permanently have to traverse subgrids (patches) of different and changing sizes. The parallel efficiency of this traversal depends on the interplay of the patch size, the architecture used, the operations triggered throughout the traversal, and the grain size, i.e. the size of the subtasks the patch is broken into. We propose an oracle mechanism delivering grain sizes on-the-fly. It takes historical runtime measurements for different patch and grain sizes as well as the traverse\\'s operations into account, and it yields reasonable speedups. Neither magic configuration settings nor an expensive pre-tuning phase are necessary. It is an autotuning approach. © 2012 Springer-Verlag.

  11. Formal Model for Restructuring of Object-Oriented Frameworks to Architecture Model-View-Adapter

    Santaolaya-Salgado René

    2014-04-01

    Full Text Available The restructuring of legacy code can be done for different purposes, among which is the migration to new technologies that facilitate the maintenance and code reuse. The frameworks have features that, in some way, limit the reuse of your code. In this paper, we propose a formal model that describes a process of restructuring legacy code object-orientedframeworks (MOO to code according to the architecture Model-View-Adapter (MVA. This process is carried out using 11 methods of restructuring, with the aim of separating the code from business logic (the model, which is the most reusable framework, the code that implements the view and the code that handles specific processing of the application. As a result, the legacy code of the framework is ready for a subsequent migration to Web services.

  12. AMHC: Adaptive Multi-Hop Clustering based Resource Discovery Architecture for Large Scale MANETs

    Saad Al-Ahmadi

    2014-05-01

    Full Text Available In this study we propose an efficient clustering protocol called AMHC used for resource discovery in large scale Mobile Ad hoc Networks (MANETs. AMHC is an Adaptive Multi-Hop Clustering generating several non-overlapping network localities (clusters with explicit elected cluster-heads. Every cluster member is on average d hops away from its cluster-head, where d is an integer parameter for the protocol. The generated set of clusters are highly stable and has low restructuring frequency that takes into consideration the dynamic network topology due to nodes mobility and depleted energy. The head election process is a distributed process based on a node’s weight formula calculated by every node independently. The node’s weight involves the current energy level, the current neighborhood degree and distance (in number of hops between the nominated head and the voting node. The cluster-head is responsible of coordinating intra-cluster and inter-cluster resource discovery activities. Inter-cluster communication is handled through gateway nodes which hear from more than one cluster and able to connect clusters with each other. The aim of AMHC is to identify all the possible gateways for creating highly fault-tolerant architecture. AMHC is an asynchronous, scalable and robust architecture capable of handling large amount of resource queries with high degree of power and communication efficiency. We conducted a comparative study using simulation to demonstrate AMHC’s efficiency and superiority against other recently proposed clustering algorithms in the literature. The comparison is based on: number of generated clusters, average cluster size, cluster stability and nodes re-affiliation. These results show a lot of promise for AMHC as efficient, energy-aware, load-balance and fault tolerant resource discovery architecture for large-scale MANETs.

  13. Adaptive link layer security architecture for telecommand communications in space networks

    Lei Zhang; Chengjin An; Susanna Spinsante; Chaojing Tang

    2014-01-01

    Impressive advances in space technology are en-abling complex missions, with potential y significant and long term impacts on human life and activities. In the vision of future space exploration, communication links among planets, satel ites, spacecrafts and crewed vehicles wil be designed according to a new paradigm, known as the disruption tolerant networking. In this scenario, space channel peculiarities impose a massive re-engineering of many of the protocols usual y adopted in terrestrial networks; among them, security solutions are to be deeply re-viewed, and tailored to the specific space requirements. Security is to be provided not only to the payload data exchanged on the network, but also to the telecommands sent to a spacecraft, along possibly differentiated paths. Starting from the secure space telecommand design developed by the Consultative Committee for Space Data Systems as a response to agency-based require-ments, an adaptive link layer security architecture is proposed to address some of the chal enges for future space networks. Based on the analysis of the communication environment and the error diffusion properties of the authentication algorithms, a suitable mechanism is proposed to classify frame retransmission requests on the basis of the originating event (error or security attack) and reduce the impact of security operations. An adaptive algorithm to optimize the space control protocol, based on estimates of the time varying space channel, is also presented. The simulation results clearly demonstrate that the proposed architecture is feasible and efficient, especial y when facing malicious attacks against frame transmission.

  14. Compression of the electrocardiogram (ECG) using an adaptive orthonomal wavelet basis architecture

    Anandkumar, Janavikulam; Szu, Harold H.

    1995-04-01

    This paper deals with the compression of electrocardiogram (ECG) signals using a large library of orthonormal bases functions that are translated and dilated versions of Daubechies wavelets. The wavelet transform has been implemented using quadrature mirror filters (QMF) employed in a sub-band coding scheme. Interesting transients and notable frequencies of the ECG are captured by appropriately scaled waveforms chosen in a parallel fashion from this collection of wavelets. Since there is a choice of orthonormal bases functions for the efficient transcription of the ECG, it is then possible to choose the best one by various criterion. We have imposed very stringent threshold conditions on the wavelet expansion coefficients, such as in maintaining a very large percentage of the energy of the current signal segment, and this has resulted in reconstructed waveforms with negligible distortion relative to the source signal. Even without the use of any specialized quantizers and encoders, the compression ratio numbers look encouraging, with preliminary results indicating compression ratios ranging from 40:1 to 15:1 at percentage rms distortions ranging from about 22% to 2.3%, respectively. Irrespective of the ECG lead chosen, or the signal deviations that may occur due to either noise or arrhythmias, only one wavelet family that correlates best with that particular portion of the signal, is chosen. The main reason for the compression is because the chosen mother wavelet and its variations match the shape of the ECG and are able to efficiently transcribe the source with few wavelet coefficients. The adaptive template matching architecture that carries out a parallel search of the transform domain is described, and preliminary simulation results are discussed. The adaptivity of the architecture comes from the fine tuning of the wavelet selection process that is based on localized constraints, such as shape of the signal and its energy.

  15. The adaptive response of E. coli to low levels of alkylating agent

    In an attempt to characterise which gene products may be involved in the repair system induced in E. coli by growth on low levels of alkylating agent (the adaptive response) we have analysed mutants deficient in other known pathways of DNA repair for the ability to adapt to MNNG. Adaptive resistance to the killing effects of MNNG seems to require a functional DNA polymerase I whereas resistance to the mutagenic effects can occur in polymerase I deficient strains; similarly killing adaptation could not be observed in a dam3 mutant, which was nonetheless able to show mutational adaptation. These results suggest that these two parts of the adaptive response must, at least to some extent, be separable. Both adaptive responses can be seen in the absence of uvrD+ uvrE+-dependent mismatch repair, DNA polymerase II activity, or recF-mediated recombination and they are not affected by decreased levels of adenyl cyclase. The data presented support our earlier conclusion that adaptive resistance to the killing and mutagenic effect of MNNG is the result of previously uncharacterised repair pathways. (orig.)

  16. Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive Agent-Based Computing Approach.

    Samreen Laghari

    Full Text Available Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety of other interconnected devices ranging from mobile phones to other household items fitted with sensors. This vision of the "Internet of Things" (IoT implies an inherent difficulty in modeling problems.It is practically impossible to implement and test all scenarios for large-scale and complex adaptive communication networks as part of Complex Adaptive Communication Networks and Environments (CACOONS. The goal of this study is to explore the use of Agent-based Modeling as part of the Cognitive Agent-based Computing (CABC framework to model a Complex communication network problem.We use Exploratory Agent-based Modeling (EABM, as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network. To evaluate the application of complexity in practical scenarios, we have also introduced a company-defined computer usage policy.The conducted experiments demonstrated two important results: Primarily CABC-based modeling approach such as using Agent-based Modeling can be an effective approach to modeling complex problems in the domain of IoT. Secondly, the specific problem of managing the Carbon footprint can be solved using a multiagent system approach.

  17. Modeling the Internet of Things, Self-Organizing and Other Complex Adaptive Communication Networks: A Cognitive Agent-Based Computing Approach

    2016-01-01

    Background Computer Networks have a tendency to grow at an unprecedented scale. Modern networks involve not only computers but also a wide variety of other interconnected devices ranging from mobile phones to other household items fitted with sensors. This vision of the "Internet of Things" (IoT) implies an inherent difficulty in modeling problems. Purpose It is practically impossible to implement and test all scenarios for large-scale and complex adaptive communication networks as part of Complex Adaptive Communication Networks and Environments (CACOONS). The goal of this study is to explore the use of Agent-based Modeling as part of the Cognitive Agent-based Computing (CABC) framework to model a Complex communication network problem. Method We use Exploratory Agent-based Modeling (EABM), as part of the CABC framework, to develop an autonomous multi-agent architecture for managing carbon footprint in a corporate network. To evaluate the application of complexity in practical scenarios, we have also introduced a company-defined computer usage policy. Results The conducted experiments demonstrated two important results: Primarily CABC-based modeling approach such as using Agent-based Modeling can be an effective approach to modeling complex problems in the domain of IoT. Secondly, the specific problem of managing the Carbon footprint can be solved using a multiagent system approach. PMID:26812235

  18. A Social Agent BDI Architecture Based On Role%一种基于角色的社会性Agent BDI结构

    谭晓薇; 张健

    2014-01-01

    社会性agent是构建多agent系统的基本构件。本文基于BDI模型和社会学角色理论,以角色信念、角色愿望、角色意图为社会性心智状态,给出了基于角色的社会性agent概念模型和模型的映射结构(SABDI_R),用仪演算描述了SABDI_R结构的行为,分析表明SABDI_R结构能保持运行稳定。%Social agent is basic component for constructing multi agent system. According to BDI model and role theory in sociology, this paper uses role belief, role desire, role intention as social mental status establish a concept model of a social agent, map this model to particular architecture (SABDI_R), and define module action in SABDI_R using П calculus. Based on theoretical analysis, the SABDI_R architecture can maintain running stable.

  19. Numerical relations and skill level constrain co-adaptive behaviors of agents in sports teams.

    Silva, Pedro; Travassos, Bruno; Vilar, Luís; Aguiar, Paulo; Davids, Keith; Araújo, Duarte; Garganta, Júlio

    2014-01-01

    Similar to other complex systems in nature (e.g., a hunting pack, flocks of birds), sports teams have been modeled as social neurobiological systems in which interpersonal coordination tendencies of agents underpin team swarming behaviors. Swarming is seen as the result of agent co-adaptation to ecological constraints of performance environments by collectively perceiving specific possibilities for action (affordances for self and shared affordances). A major principle of invasion team sports assumed to promote effective performance is to outnumber the opposition (creation of numerical overloads) during different performance phases (attack and defense) in spatial regions adjacent to the ball. Such performance principles are assimilated by system agents through manipulation of numerical relations between teams during training in order to create artificially asymmetrical performance contexts to simulate overloaded and underloaded situations. Here we evaluated effects of different numerical relations differentiated by agent skill level, examining emergent inter-individual, intra- and inter-team coordination. Groups of association football players (national--NLP and regional-level--RLP) participated in small-sided and conditioned games in which numerical relations between system agents were manipulated (5v5, 5v4 and 5v3). Typical grouping tendencies in sports teams (major ranges, stretch indices, distances of team centers to goals and distances between the teams' opposing line-forces in specific team sectors) were recorded by plotting positional coordinates of individual agents through continuous GPS tracking. Results showed that creation of numerical asymmetries during training constrained agents' individual dominant regions, the underloaded teams' compactness and each team's relative position on-field, as well as distances between specific team sectors. We also observed how skill level impacted individual and team coordination tendencies. Data revealed emergence of

  20. Numerical relations and skill level constrain co-adaptive behaviors of agents in sports teams.

    Pedro Silva

    Full Text Available Similar to other complex systems in nature (e.g., a hunting pack, flocks of birds, sports teams have been modeled as social neurobiological systems in which interpersonal coordination tendencies of agents underpin team swarming behaviors. Swarming is seen as the result of agent co-adaptation to ecological constraints of performance environments by collectively perceiving specific possibilities for action (affordances for self and shared affordances. A major principle of invasion team sports assumed to promote effective performance is to outnumber the opposition (creation of numerical overloads during different performance phases (attack and defense in spatial regions adjacent to the ball. Such performance principles are assimilated by system agents through manipulation of numerical relations between teams during training in order to create artificially asymmetrical performance contexts to simulate overloaded and underloaded situations. Here we evaluated effects of different numerical relations differentiated by agent skill level, examining emergent inter-individual, intra- and inter-team coordination. Groups of association football players (national--NLP and regional-level--RLP participated in small-sided and conditioned games in which numerical relations between system agents were manipulated (5v5, 5v4 and 5v3. Typical grouping tendencies in sports teams (major ranges, stretch indices, distances of team centers to goals and distances between the teams' opposing line-forces in specific team sectors were recorded by plotting positional coordinates of individual agents through continuous GPS tracking. Results showed that creation of numerical asymmetries during training constrained agents' individual dominant regions, the underloaded teams' compactness and each team's relative position on-field, as well as distances between specific team sectors. We also observed how skill level impacted individual and team coordination tendencies. Data revealed

  1. Adaptive Home System Using Wireless Sensor Network And Multi Agent System

    Jayarani Kamble

    2014-03-01

    Full Text Available Smart Home is an emerging technology growing continuously which includes number of new technologies which helps to improve human’s quality of living. This paper proposes an adaptive home system for optimum utilization of power, through Artificial Intelligence and Wireless Sensor network. Artificial Intelligence is a technology for developing adaptive system that can perceive the enviornmrnt, learn from the environment and can make decision using Rule based system.Zigbee is a wireless sensor network used to efficiently deliver solution for an energy management and efficiency for adaptive home. An algorithm used in adaptive home system is based on software agent approach that reduce the energy consumption at home by considering the user’s occupancy, temperature and user’s preferences as input to the system.

  2. Multi Agent System Based Adaptive Protection for Dispersed Generation Integrated Distribution Systems

    Liu, Leo; Rather, Zakir Hussain; Bak, Claus Leth; Chen, Zhe

    2013-01-01

    allowing islanded operation of distribution systems necessitates the adoption of adaptive protection methods for distribution systems. In order to improve the reliability and selectivity of protection for such kind of distribution systems, a coordinative adaptive protection based on multi agent system (MAS......The increasing penetration of dispersed generation (DG) brings challenges to conventional protection approaches of distribution system, mainly due to bi-directional power flow and variable fault current contribution from different generation technology-based DG units. Moreover, the trend of......) is proposed. The adaptive protection intelligently adopts suitable settings for the variation of fault current from diversified DG units. Furthermore, the structure of mobile MAS with additional flexibility is capable of adapting the changes of system topology in a short period, e.g. radial...

  3. Mapping the genomic architecture of adaptive traits with interspecific introgressive origin: a coalescent-based approach.

    Hejase, Hussein A; Liu, Kevin J

    2016-01-01

    Recent studies of eukaryotes including human and Neandertal, mice, and butterflies have highlighted the major role that interspecific introgression has played in adaptive trait evolution. A common question arises in each case: what is the genomic architecture of the introgressed traits? One common approach that can be used to address this question is association mapping, which looks for genotypic markers that have significant statistical association with a trait. It is well understood that sample relatedness can be a confounding factor in association mapping studies if not properly accounted for. Introgression and other evolutionary processes (e.g., incomplete lineage sorting) typically introduce variation among local genealogies, which can also differ from global sample structure measured across all genomic loci. In contrast, state-of-the-art association mapping methods assume fixed sample relatedness across the genome, which can lead to spurious inference. We therefore propose a new association mapping method called Coal-Map, which uses coalescent-based models to capture local genealogical variation alongside global sample structure. Using simulated and empirical data reflecting a range of evolutionary scenarios, we compare the performance of Coal-Map against EIGENSTRAT, a leading association mapping method in terms of its popularity, power, and type I error control. Our empirical data makes use of hundreds of mouse genomes for which adaptive interspecific introgression has recently been described. We found that Coal-Map's performance is comparable or better than EIGENSTRAT in terms of statistical power and false positive rate. Coal-Map's performance advantage was greatest on model conditions that most closely resembled empirically observed scenarios of adaptive introgression. These conditions had: (1) causal SNPs contained in one or a few introgressed genomic loci and (2) varying rates of gene flow - from high rates to very low rates where incomplete lineage

  4. A Novel Architecture for Real-time Operation of Multi-Agent Based Coordination of Demand and Supply

    The ECN-developed PowerMatcher concept has proven its value in the coordination of demand and supply of electricity in different settings with respect to distributed generation and accommodation of renewable energy resources. The concept has been applied in several field tests and simulations at various levels in the power system. The agent based technology on which the PowerMatcher is built has a number of advantages above other approaches such as the flexibility of the concept to accommodate a large variety of business scenarios, the autonomy of the agents, the standardization of communication through bids and allocation, the hiding of process information, etc. Yet the field tests also have identified a number of enhancements that may lead to improved behavior of the PowerMatcher in real life circumstances. Also discussions within the power system agent community as laid down in two White Papers from the IEEE Multi-Agent Systems Working Group have convinced us to focus on an architecture that enables close cooperation with other research groups in order to gain momentum for real applications. This paper will introduce a number of requirements for the next phase of development that enable the PowerMatcher to cope with new, future scenarios. The requirements lead to a number of architectural decisions that will support a more open software development trajectory

  5. A Novel Architecture for Real-time Operation of Multi-Agent Based Coordination of Demand and Supply

    Hommelberg, M.P.F.; Warmer, C.J.; Kamphuis, I.G.; Kok, J.K.; Van der Velde, B.J. [ECN Efficiency and Infrastructure, Petten (Netherlands)

    2009-01-15

    The ECN-developed PowerMatcher concept has proven its value in the coordination of demand and supply of electricity in different settings with respect to distributed generation and accommodation of renewable energy resources. The concept has been applied in several field tests and simulations at various levels in the power system. The agent based technology on which the PowerMatcher is built has a number of advantages above other approaches such as the flexibility of the concept to accommodate a large variety of business scenarios, the autonomy of the agents, the standardization of communication through bids and allocation, the hiding of process information, etc. Yet the field tests also have identified a number of enhancements that may lead to improved behavior of the PowerMatcher in real life circumstances. Also discussions within the power system agent community as laid down in two White Papers from the IEEE Multi-Agent Systems Working Group have convinced us to focus on an architecture that enables close cooperation with other research groups in order to gain momentum for real applications. This paper will introduce a number of requirements for the next phase of development that enable the PowerMatcher to cope with new, future scenarios. The requirements lead to a number of architectural decisions that will support a more open software development trajectory.

  6. Adaptive Leader-Following Consensus of Multi-Agent Systems with Unknown Nonlinear Dynamics

    Junwei Wang

    2014-09-01

    Full Text Available This paper deals with the leader-following consensus of multi-agent systems with matched nonlinear dynamics. Compared with previous works, the major difficulty here is caused by the simultaneous existence of nonidentical agent dynamics and unknown system parameters, which are more practical in real-world applications. To tackle this difficulty, a distributed adaptive control law for each follower is proposed based on algebraic graph theory and algebraic Riccati equation. By a Lyapunov function method, we show that the designed control law guarantees that each follower asymptotically converges to the leader under connected communication graphs. A simulation example demonstrates the effectiveness of the proposed scheme.

  7. Open Source Service Agent (OSSA) in the intelligence community's Open Source Architecture

    Fiene, Bruce F.

    1994-01-01

    The Community Open Source Program Office (COSPO) has developed an architecture for the intelligence community's new Open Source Information System (OSIS). The architecture is a multi-phased program featuring connectivity, interoperability, and functionality. OSIS is based on a distributed architecture concept. The system is designed to function as a virtual entity. OSIS will be a restricted (non-public), user configured network employing Internet communications. Privacy and authentication will be provided through firewall protection. Connection to OSIS can be made through any server on the Internet or through dial-up modems provided the appropriate firewall authentication system is installed on the client.

  8. The significance of dynamical architecture for adaptive responses to mechanical loads during rhythmic behavior.

    Shaw, Kendrick M; Lyttle, David N; Gill, Jeffrey P; Cullins, Miranda J; McManus, Jeffrey M; Lu, Hui; Thomas, Peter J; Chiel, Hillel J

    2015-02-01

    Many behaviors require reliably generating sequences of motor activity while adapting the activity to incoming sensory information. This process has often been conceptually explained as either fully dependent on sensory input (a chain reflex) or fully independent of sensory input (an idealized central pattern generator, or CPG), although the consensus of the field is that most neural pattern generators lie somewhere between these two extremes. Many mathematical models of neural pattern generators use limit cycles to generate the sequence of behaviors, but other models, such as a heteroclinic channel (an attracting chain of saddle points), have been suggested. To explore the range of intermediate behaviors between CPGs and chain reflexes, in this paper we describe a nominal model of swallowing in Aplysia californica. Depending upon the value of a single parameter, the model can transition from a generic limit cycle regime to a heteroclinic regime (where the trajectory slows as it passes near saddle points). We then study the behavior of the system in these two regimes and compare the behavior of the models with behavior recorded in the animal in vivo and in vitro. We show that while both pattern generators can generate similar behavior, the stable heteroclinic channel can better respond to changes in sensory input induced by load, and that the response matches the changes seen when a load is added in vivo. We then show that the underlying stable heteroclinic channel architecture exhibits dramatic slowing of activity when sensory and endogenous input is reduced, and show that similar slowing with removal of proprioception is seen in vitro. Finally, we show that the distributions of burst lengths seen in vivo are better matched by the distribution expected from a system operating in the heteroclinic regime than that expected from a generic limit cycle. These observations suggest that generic limit cycle models may fail to capture key aspects of Aplysia feeding

  9. An Active Networks Architecture Based on Mobile Agent%一种基于移动Agent的主动网络体系结构

    张君雁; 闵帆; 杨国纬

    2003-01-01

    This paper proposes an active networks architecture which supports both integrated and discrete operationmodel based on mobile Agent technology. Mobile Agent is the component for customized function transferring, activenode provides software application layer, and Agent server processes mobile Agent specific customization. For devel-opment and deployment of specific application protocol, this paper also proposes an abstract protocol framework and aprotocol loading mechanism to enhance network performance.

  10. The Arab Vernacular Architecture and its Adaptation to Mediterranean Climatic Zones

    Paz, Shlomit; Hamza, Efat

    2014-05-01

    Throughout history people have employed building strategies adapted to local climatic conditions in an attempt to achieve thermal comfort in their homes. In the Mediterranean climate, a mixed strategy developed - utilizing positive parameters (e.g. natural lighting), while at the same time addressing negative variables (e.g. high temperatures during summer). This study analyzes the adaptation of construction strategies of traditional Arab houses to Mediterranean climatic conditions. It is based on the assumption that the climate of the eastern Mediterranean led to development of unique architectural patterns. The way in which the inhabitants chose to build their homes was modest but creative in the context of climate awareness, with simple ideas. These were often instinctive responses to climate challenges. Nine traditional Arab houses, built from the mid-19th century to the beginning of the 20th century, were analyzed in three different regions in Israel: the "Meshulash" - an area in the center of the country, and the Lower and Upper Galilees (in the north). In each region three houses were examined. It is important to note that only a few houses from these periods still remain, particularly in light of new construction in many of the villages' core areas. Qualitative research methodologies included documentation of all the elements of these traditional houses which were assumed to be a result of climatic factors, such as - house position (direction), thickness of walls, thermal mass, ceiling height, location of windows, natural ventilation, exterior wall colors and shading strategies. Additionally, air temperatures and relative humidity were measured at selected dates throughout all seasons both inside and immediately outside the houses during morning, noon, evening and night-time hours. The documentation of the architectural elements and strategies demonstrate that climatic considerations were an integral part of the planning and construction process of these

  11. Adaptive Third-Order Leader-Following Consensus of Nonlinear Multi-agent Systems with Perturbations

    SUN Mei; CHEN Ying; CAO Long; WANG Xiao-Fang

    2012-01-01

    We investigate the third-order leader-following consensus problem of nonlinear multi-agent systems in undirected network topologies. Based on graph theory and Lyapunov stability theory, the adaptive control method is employed to achieve leader-following consensus in an undirected network of agents with nonlinear third-order dynamics against the perturbations. Simulation examples validate the correctness of the results and show that the control gains have a great influence on the convergence performance of errors for a short time.%We investigate the third-order leader-following consensus problem of nonlinear multi-agent systems in undirected network topologies.Based on graph theory and Lyapunov stability theory,the adaptive control method is employed to achieve leader-following consensus in an undirected network of agents with nonlinear third-order dynamics against the perturbations.Simulation examples validate the correctness of the results and show that the control gains have a great influence on the convergence performance of errors for a short time.

  12. A study of self-adaptive transmission control architectures in impairment-aware transparent WDM networks

    Liu, Yongjun; Gu, Wanyi; Zhang, Jie; Wang, Lei; Zhang, Hua; Ren, Jia

    2008-11-01

    This paper investigates the self-adaptive transmission control architectures (SATCA) in impairment-aware transparent WDM networks. Two approaches are proposed for the implementation of SATCA. Simulations are conducted to evaluate the benefits obtained by applying SATCA. In the transparent WDM networks, the control plane based on GMPLS protocols introduces connection intelligence into the optical networks. However, since dynamic setup/teardown of connection or fast re-route may introduce unpredictable physical impairments(i.e., fluctuation of optical power and residual dispersion) into the lightpath and in all-optical networks these physical impairments will accumulate along the lightpath, the optical signal quality and service survivablity can not be guaranteed. Therefore, the future optical networks should also have self-adaptive optical transmission ability to guarantee the physical quality of connections. Two proposed approaches to implement SATCA separately introduce extensions to routing protocols (routing-based approach) and signalling protocols (signaling-based approach) of GMPLS. For both approaches, the lightpath quality estimation (LQE) module, which is applied to evaluate the lightpath's QOT and make the compensation budgets, should be added to the optical control plane. The purpose of the simulations is to research the effect of SATCA approaches on the lightpath performance. We suppose that if OSNR or RD is out of the acceptable range, the lightpath is refused. So the blocking probability can be used for comparison among the signaling-based approach,routing-based approach and the traditional approach which is without considering physical impairments. Since the lightpath performance can be improved in the SATCA approach, the quality of lightpath is greatly guaranteed.

  13. Human Behavior & Low Energy Architecture: Linking Environmental Adaptation, Personal Comfort, & Energy Use in the Built Environment

    Langevin, Jared

    Truly sustainable buildings serve to enrich the daily sensory experience of their human inhabitants while consuming the least amount of energy possible; yet, building occupants and their environmentally adaptive behaviors remain a poorly characterized variable in even the most "green" building design and operation approaches. This deficiency has been linked to gaps between predicted and actual energy use, as well as to eventual problems with occupant discomfort, productivity losses, and health issues. Going forward, better tools are needed for considering the human-building interaction as a key part of energy efficiency strategies that promote good Indoor Environmental Quality (IEQ) in buildings. This dissertation presents the development and implementation of a Human and Building Interaction Toolkit (HABIT), a framework for the integrated simulation of office occupants' thermally adaptive behaviors, IEQ, and building energy use as part of sustainable building design and operation. Development of HABIT begins with an effort to devise more reliable methods for predicting individual occupants' thermal comfort, considered the driving force behind the behaviors of focus for this project. A long-term field study of thermal comfort and behavior is then presented, and the data it generates are used to develop and validate an agent-based behavior simulation model. Key aspects of the agent-based behavior model are described, and its predictive abilities are shown to compare favorably to those of multiple other behavior modeling options. Finally, the agent-based behavior model is linked with whole building energy simulation in EnergyPlus, forming the full HABIT program. The program is used to evaluate the energy and IEQ impacts of several occupant behavior scenarios in the simulation of a case study office building for the Philadelphia climate. Results indicate that more efficient local heating/cooling options may be paired with wider set point ranges to yield up to 24

  14. Adaptive Fault Detection on Liquid Propulsion Systems with Virtual Sensors: Algorithms and Architectures

    Matthews, Bryan L.; Srivastava, Ashok N.

    2010-01-01

    Prior to the launch of STS-119 NASA had completed a study of an issue in the flow control valve (FCV) in the Main Propulsion System of the Space Shuttle using an adaptive learning method known as Virtual Sensors. Virtual Sensors are a class of algorithms that estimate the value of a time series given other potentially nonlinearly correlated sensor readings. In the case presented here, the Virtual Sensors algorithm is based on an ensemble learning approach and takes sensor readings and control signals as input to estimate the pressure in a subsystem of the Main Propulsion System. Our results indicate that this method can detect faults in the FCV at the time when they occur. We use the standard deviation of the predictions of the ensemble as a measure of uncertainty in the estimate. This uncertainty estimate was crucial to understanding the nature and magnitude of transient characteristics during startup of the engine. This paper overviews the Virtual Sensors algorithm and discusses results on a comprehensive set of Shuttle missions and also discusses the architecture necessary for deploying such algorithms in a real-time, closed-loop system or a human-in-the-loop monitoring system. These results were presented at a Flight Readiness Review of the Space Shuttle in early 2009.

  15. Coordination specification in MultiAgent Systems. From requirements to architecture with the Tropos methodology

    Perini, Anna; Susi, Angelo; Giunchiglia, Fausto

    2002-01-01

    The goal of this paper is to propose a new methodology for designing coordination between human agents and software agents and, ultimately, among software agents. The methodology is based on two key ideas. The first is that coordination should be designed in steps, according to a precise software engineering methodology, and starting from the specification of early requirements. The second is that coordination should be modeled as dependency between actors. Two actors may depend on one anothe...

  16. Hybrid Intelligent Agent-Based Internal Analysis Architecture for CRM Strategy Planning

    Mosahar Tarimoradi

    2014-05-01

    Full Text Available Nowadays attaining the general and comprehensive information about customers by means of traditional methods is difficult for CEO's because of the agility and complexity of organizations. So they spend a considerable time to gather and analyze the market data and consider it according to the organization's strategy. Presenting a useful architecture that capable to diagnose the organization's advantages and disadvantages, and identify the attainable competitive advantages are the main goals of this paper. The output of such architecture can be a general exhibition of company that prepares a clear and on time comprehensive view for CEO's.

  17. An Intelligent Mobile-Agent Based Scalable Network Management Architecture for Large-Scale Enterprise System

    Sharma, A K; Singh, Vijay

    2012-01-01

    Several Mobile Agent based distributed network management models have been proposed in recent times to address the scalability and flexibility problems of centralized (SNMP or CMIP management models) models. Though the use of Mobile Agents to distribute and delegate management tasks comes handy in dealing with the previously stated issues, many of the agent-based management frameworks like initial flat bed models and static mid-level managers employing mobile agents models cannot efficiently meet the demands of current networks which are growing in size and complexity. Moreover, varied technologies, such as SONET, ATM, Ethernet, DWDM etc., present at different layers of the Access, Metro and Core (long haul) sections of the network, have contributed to the complexity in terms of their own framing and protocol structures. Thus, controlling and managing the traffic in these networks is a challenging task. This paper presents an intelligent scalable hierarchical agent based model for the management of large-scal...

  18. Quality control agent: Self-adaptive laser vibrometry for on-line diagnostics

    Serafini, S.; Paone, N.; Castellini, P.

    2012-06-01

    It is presented the development of a self-adaptive diagnostic system based on laser vibrometry for production line quality control. The vibration measurement system consists of a laser Doppler vibrometer, equipped with scanning mirrors and a smart camera, which implements self-adaptivity for compensating target mis-positioning under guidance by a vision system and for the achievement of the best condition for measurement by optimizing the Doppler signal level. This system is designed as a Quality Control Agent (QCA) and it is part of a Multi Agent System (MAS) that supervises all the production line. The QCA behavior is defined so to perform a minimization of measurement uncertainty during the on line tests; for this purpose the QCA exhibits a self-adaptive behavior. Best measurement conditions are defined in terms of amplitude of the optical Doppler beat signal (signal quality - SQ). In this paper, the optimization strategy for measurement enhancement achieved by the down-hill algorithm (Nelder-Mead algorithm) and its effect on signal quality improvement is discussed. Tests on a washing machine in controlled operating conditions allow to evaluate the efficacy of the method; significant reduction of noise on vibration velocity spectra is observed.

  19. Agent-oriented software engineering reflections on architectures, methodologies, languages, and frameworks

    Shehory, Onn

    2014-01-01

    With this book, Onn Shehory and Arnon Sturm, together with further contributors, introduce the reader to various facets of agent-oriented software engineering (AOSE). They provide a selected collection of state-of-the-art findings, which combines research from information systems, artificial intelligence, distributed systems and software engineering and covers essential development aspects of agent-based systems. The book chapters are organized into five parts. The first part introduces the AOSE domain in general, including introduction to agents and the peculiarities of software engineerin

  20. Modularity, adaptability and evolution in the AUTOPIA architecture for control of autonomous vehicles. Updating Mechatronics of Automatic Cars

    Pérez Rastelli, Joshué; González, Carlos; Milanés, Vicente; Onieva, Enrique; Godoy, Jorge; Pedro, Teresa de

    2009-01-01

    International audience Computer systems to carry out control algorithms on autonomous vehicles have been developed in recent years. However, the advances in peripheral devices allow connecting the actuator controllers to the control system by means of standard communication links (USB, CAN, Ethernet ... ).The goal is to permit the use of standard computers. In this paper, we present the evolution of AUTOPIA architecture and its modularity and adaptability to move the old system based on IS...

  1. An architecture of knowledge management system based on agent and ontology

    2008-01-01

    To solve the problems in knowledge management system (KMS), such as information sharing, the ability to extend and re-engineer, and the reusable ability of legacy systems in distributed and heterogeneous environments. This article presents a method based on agent and ontology of designing KMS. This method consists of two agencies. One is knowledge agency with three agents supporting knowledge management process. The other is application agency with three agents supporting knowledge application. In this method, ontology is used to represent the knowledge in knowledge base and the content in the message exchanged among agents. To demonstrate the advantages of this method, experiments have been carried out and the results imply that this method is efficient and effective for small and medium-size enterprises to design KMS.

  2. An Architecture for Agent-Oriented Programming with a Programmable Model of Interaction

    Hägg, Staffan; Ygge, Fredrik

    1994-01-01

    Distributed computing, where the underlying network is complex, heterogeneous and un-reliable, is hard to realize with traditional approaches. Energy Distribution Automation (DA), where the power line is used for communication, and the processing is highly distributed, is our application domain for assessments of new technologies for this kind of system. In this paper we propose a Multi-Agent approach with a large expected number of heavily distributed, medium grain agents. The concept of Age...

  3. Towards a genetics-based adaptive agent to support flight testing

    Cribbs, Henry Brown, III

    Although the benefits of aircraft simulation have been known since the late 1960s, simulation almost always entails interaction with a human test pilot. This "pilot-in-the-loop" simulation process provides useful evaluative information to the aircraft designer and provides a training tool to the pilot. Emulation of a pilot during the early phases of the aircraft design process might provide designers a useful evaluative tool. Machine learning might emulate a pilot in a simulated aircraft/cockpit setting. Preliminary work in the application of machine learning techniques, such as reinforcement learning, to aircraft maneuvering have shown promise. These studies used simplified interfaces between machine learning agent and the aircraft simulation. The simulations employed low order equivalent system models. High-fidelity aircraft simulations exist, such as the simulations developed by NASA at its Dryden Flight Research Center. To expand the applicational domain of reinforcement learning to aircraft designs, this study presents a series of experiments that examine a reinforcement learning agent in the role of test pilot. The NASA X-31 and F-106 high-fidelity simulations provide realistic aircraft for the agent to maneuver. The approach of the study is to examine an agent possessing a genetic-based, artificial neural network to approximate long-term, expected cost (Bellman value) in a basic maneuvering task. The experiments evaluate different learning methods based on a common feedback function and an identical task. The learning methods evaluated are: Q-learning, Q(lambda)-learning, SARSA learning, and SARSA(lambda) learning. Experimental results indicate that, while prediction error remain quite high, similar, repeatable behaviors occur in both aircraft. Similar behavior exhibits portability of the agent between aircraft with different handling qualities (dynamics). Besides the adaptive behavior aspects of the study, the genetic algorithm used in the agent is shown to

  4. Adaptive Load Balancing of Parallel Applications with Multi-Agent Reinforcement Learning on Heterogeneous Systems

    Johan Parent

    2004-01-01

    Full Text Available We report on the improvements that can be achieved by applying machine learning techniques, in particular reinforcement learning, for the dynamic load balancing of parallel applications. The applications being considered in this paper are coarse grain data intensive applications. Such applications put high pressure on the interconnect of the hardware. Synchronization and load balancing in complex, heterogeneous networks need fast, flexible, adaptive load balancing algorithms. Viewing a parallel application as a one-state coordination game in the framework of multi-agent reinforcement learning, and by using a recently introduced multi-agent exploration technique, we are able to improve upon the classic job farming approach. The improvements are achieved with limited computation and communication overhead.

  5. Leader-following consensus of fractional-order multi-agent systems via adaptive pinning control

    Yu, Zhiyong; Jiang, Haijun; Hu, Cheng; Yu, Juan

    2015-09-01

    In this paper, the leader-following consensus problem of fractional-order multi-agent systems is considered via adaptive pinning control. The dynamics of leader and all followers with linear and nonlinear functions are investigated, respectively. We assume that the node should be pinned if its in-degree is less than its out-degree in the paper. Under this assumption and based on the stability theory of fractional-order differential systems, some leader-following consensus criteria are derived, which are easily obtained by matrix inequalities. The control of each agent using local information is designed and detailed analysis of the leader-following consensus is presented. The design technique is based on algebraic graph theory and the Riccati inequality. Several simulation examples are presented to demonstrate the effectiveness of the proposed method.

  6. Intelligent autonomy for unmanned marine vehicles robotic control architecture based on service-oriented agents

    Insaurralde, Carlos C

    2015-01-01

    This book presents an Intelligent Control Architecture (ICA) to enable multiple collaborating marine vehicles to autonomously carry out underwater intervention missions. The presented ICA is generic in nature but aimed at a case study where a marine surface craft and an underwater vehicle are required to work cooperatively. It is shown that they are capable of cooperating autonomously towards the execution of complex activities since they have different but complementary capabilities. The ICA implementation is verified in simulation, and validated in trials by means of a team of autonomous marine robots. This book also presents architectural details and evaluation scenarios of the ICA, results of simulations and trials from different maritime operations, and future research directions.

  7. Software Productivity of Field Experiments Using the Mobile Agents Open Architecture with Workflow Interoperability

    Clancey, William J.; Lowry, Michael R.; Nado, Robert Allen; Sierhuis, Maarten

    2011-01-01

    We analyzed a series of ten systematically developed surface exploration systems that integrated a variety of hardware and software components. Design, development, and testing data suggest that incremental buildup of an exploration system for long-duration capabilities is facilitated by an open architecture with appropriate-level APIs, specifically designed to facilitate integration of new components. This improves software productivity by reducing changes required for reconfiguring an existing system.

  8. Adapted Verbal Feedback, Instructor Interaction and Student Emotions in the Landscape Architecture Studio

    Smith, Carl A.; Boyer, Mark E.

    2015-01-01

    In light of concerns with architectural students' emotional jeopardy during traditional desk and final-jury critiques, the authors pursue alternative approaches intended to provide more supportive and mentoring verbal assessment in landscape architecture studios. In addition to traditional studio-based critiques throughout a semester, we provide…

  9. Architectural considerations for agent-based national scale policy models : LDRD final report.

    Backus, George A.; Strip, David R.

    2007-09-01

    The need to anticipate the consequences of policy decisions becomes ever more important as the magnitude of the potential consequences grows. The multiplicity of connections between the components of society and the economy makes intuitive assessments extremely unreliable. Agent-based modeling has the potential to be a powerful tool in modeling policy impacts. The direct mapping between agents and elements of society and the economy simplify the mapping of real world functions into the world of computation assessment. Our modeling initiative is motivated by the desire to facilitate informed public debate on alternative policies for how we, as a nation, provide healthcare to our population. We explore the implications of this motivation on the design and implementation of a model. We discuss the choice of an agent-based modeling approach and contrast it to micro-simulation and systems dynamics approaches.

  10. A Study on the Architecture of Flexible ERP Based on Multi-Agent Technology

    2002-01-01

    Traditional ERP software system cannot efficiently su pport new management ideas such as BPR, DEM and virtual enterprise which emphasi zes that enterprise should be adjusted to market changes and business process ch ain and value chain should be integrated tightly. To solve these problems, this paper proposed the conception of Flexible ERP system. F-ERP is a self- adapti ve software system based on multi-agent technology. It developed the followin g kind of agents which are useful for F-ERP: business p...