Evaluating mice lacking serum carboxylesterase as a behavioral model for nerve agent intoxication.

Science.gov (United States)

Dunn, Emily N; Ferrara-Bowens, Teresa M; Chachich, Mark E; Honnold, Cary L; Rothwell, Cristin C; Hoard-Fruchey, Heidi M; Lesyna, Catherine A; Johnson, Erik A; Cerasoli, Douglas M; McDonough, John H; Cadieux, C Linn

2018-06-07

Mice and other rodents are typically utilized for chemical warfare nerve agent research. Rodents have large amounts of carboxylesterase in their blood, while humans do not. Carboxylesterase nonspecifically binds to and detoxifies nerve agent. The presence of this natural bioscavenger makes mice and other rodents poor models for studies identifying therapeutics to treat humans exposed to nerve agents. To obviate this problem, a serum carboxylesterase knockout (Es1 KO) mouse was created. In this study, Es1 KO and wild type (WT) mice were assessed for differences in gene expression, nerve agent (soman; GD) median lethal dose (MLD) values, and behavior prior to and following nerve agent exposure. No expression differences were detected between Es1 KO and WT mice in more than 34 000 mouse genes tested. There was a significant difference between Es1 KO and WT mice in MLD values, as the MLD for GD-exposed WT mice was significantly higher than the MLD for GD-exposed Es1 KO mice. Behavioral assessments of Es1 KO and WT mice included an open field test, a zero maze, a Barnes maze, and a sucrose preference test (SPT). While sex differences were observed in various measures of these tests, overall, Es1 KO mice behaved similarly to WT mice. The two genotypes also showed virtually identical neuropathological changes following GD exposure. Es1 KO mice appear to have an enhanced susceptibility to GD toxicity while retaining all other behavioral and physiological responses to this nerve agent, making the Es1 KO mouse a more human-like model for nerve agent research.

Entrepreneurial Attitudes and Behaviors that Can Help Prepare Successful Change-Agents in Education

Science.gov (United States)

Borasi, Raffaella; Finnigan, Kara

2010-01-01

This article explores how the preparation of educators committed to improving education can capitalize on entrepreneurship when broadly defined as "transforming ideas into enterprises that generate economic, intellectual and/or social value." The article reports on the case-studies of six educators who have been successful change-agents in a…

Study of market model describing the contrary behaviors of informed and uninformed agents: Being minority and being majority

Science.gov (United States)

Zhang, Yu-Xia; Liao, Hao; Medo, Matus; Shang, Ming-Sheng; Yeung, Chi Ho

2016-05-01

In this paper we analyze the contrary behaviors of the informed investors and uniformed investors, and then construct a competition model with two groups of agents, namely agents who intend to stay in minority and those who intend to stay in majority. We find two kinds of competitions, inter- and intra-groups. The model shows periodic fluctuation feature. The average distribution of strategies illustrates a prominent central peak which is relevant to the peak-fat-tail character of price change distribution in stock markets. Furthermore, in the modified model the tolerance time parameter makes the agents diversified. Finally, we compare the strategies distribution with the price change distribution in real stock market, and we conclude that contrary behavior rules and tolerance time parameter are indeed valid in the description of market model.

iCrowd: agent-based behavior modeling and crowd simulator

Science.gov (United States)

Kountouriotis, Vassilios I.; Paterakis, Manolis; Thomopoulos, Stelios C. A.

2016-05-01

Initially designed in the context of the TASS (Total Airport Security System) FP-7 project, the Crowd Simulation platform developed by the Integrated Systems Lab of the Institute of Informatics and Telecommunications at N.C.S.R. Demokritos, has evolved into a complete domain-independent agent-based behavior simulator with an emphasis on crowd behavior and building evacuation simulation. Under continuous development, it reflects an effort to implement a modern, multithreaded, data-oriented simulation engine employing latest state-of-the-art programming technologies and paradigms. It is based on an extensible architecture that separates core services from the individual layers of agent behavior, offering a concrete simulation kernel designed for high-performance and stability. Its primary goal is to deliver an abstract platform to facilitate implementation of several Agent-Based Simulation solutions with applicability in several domains of knowledge, such as: (i) Crowd behavior simulation during [in/out] door evacuation. (ii) Non-Player Character AI for Game-oriented applications and Gamification activities. (iii) Vessel traffic modeling and simulation for Maritime Security and Surveillance applications. (iv) Urban and Highway Traffic and Transportation Simulations. (v) Social Behavior Simulation and Modeling.

The power of negative feedback from an artificial agent to promote energy saving behavior

NARCIS (Netherlands)

Midden, Cees; Ham, Jaap; Marcus, A.

2014-01-01

In this paper we analyze the role of negative feedback as provided by artificial agents. We examine the hypothesis that negative feedback offers substantial potential to enhance persuasive interventions aimed to change behavior. This hypothesis is tested based on a review of several studies using

Agent Behavior-Based Simulation Study on Mass Collaborative Product Development Process

Directory of Open Access Journals (Sweden)

Shuo Zhang

2015-01-01

Full Text Available Mass collaborative product development (MCPD benefits people by high innovation products with lower cost and shorter lead time due to quick development of group innovation, Internet-based customization, and prototype manufacturing. Simulation is an effective way to study the evolution process and therefore to guarantee the success of MCPD. In this paper, an agent behavior-based simulation approach of MCPD is developed, which models the MCPD process as the interactive process of design agents and the environment objects based on Complex Adaptive System (CAS theory. Next, the structure model of design agent is proposed, and the modification and collaboration behaviors are described. Third, the agent behavior-based simulation flow of MCPD is designed. At last, simulation experiments are carried out based on an engineering case of mobile phone design. The experiment results show the following: (1 the community scale has significant influence on MCPD process; (2 the simulation process can explicitly represent the modification and collaboration behaviors of design agents; (3 the community evolution process can be observed and analyzed dynamically based on simulation data.

Integrating Household Risk Mitigation Behavior in Flood Risk Analysis: An Agent-Based Model Approach.

Science.gov (United States)

Haer, Toon; Botzen, W J Wouter; de Moel, Hans; Aerts, Jeroen C J H

2017-10-01

Recent studies showed that climate change and socioeconomic trends are expected to increase flood risks in many regions. However, in these studies, human behavior is commonly assumed to be constant, which neglects interaction and feedback loops between human and environmental systems. This neglect of human adaptation leads to a misrepresentation of flood risk. This article presents an agent-based model that incorporates human decision making in flood risk analysis. In particular, household investments in loss-reducing measures are examined under three economic decision models: (1) expected utility theory, which is the traditional economic model of rational agents; (2) prospect theory, which takes account of bounded rationality; and (3) a prospect theory model, which accounts for changing risk perceptions and social interactions through a process of Bayesian updating. We show that neglecting human behavior in flood risk assessment studies can result in a considerable misestimation of future flood risk, which is in our case study an overestimation of a factor two. Furthermore, we show how behavior models can support flood risk analysis under different behavioral assumptions, illustrating the need to include the dynamic adaptive human behavior of, for instance, households, insurers, and governments. The method presented here provides a solid basis for exploring human behavior and the resulting flood risk with respect to low-probability/high-impact risks. © 2016 The Authors Risk Analysis published by Wiley Periodicals, Inc. on behalf of Society for Risk Analysis.

Autonomous parsing of behavior in a multi-agent setting

NARCIS (Netherlands)

Vanderelst, D.; Barakova, E.I.; Rutkowski, L.; Tadeusiewicz, R.

2008-01-01

Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract

Combining human and machine intelligence to derive agents' behavioral rules for groundwater irrigation

Science.gov (United States)

Hu, Yao; Quinn, Christopher J.; Cai, Ximing; Garfinkle, Noah W.

2017-11-01

For agent-based modeling, the major challenges in deriving agents' behavioral rules arise from agents' bounded rationality and data scarcity. This study proposes a "gray box" approach to address the challenge by incorporating expert domain knowledge (i.e., human intelligence) with machine learning techniques (i.e., machine intelligence). Specifically, we propose using directed information graph (DIG), boosted regression trees (BRT), and domain knowledge to infer causal factors and identify behavioral rules from data. A case study is conducted to investigate farmers' pumping behavior in the Midwest, U.S.A. Results show that four factors identified by the DIG algorithm- corn price, underlying groundwater level, monthly mean temperature and precipitation- have main causal influences on agents' decisions on monthly groundwater irrigation depth. The agent-based model is then developed based on the behavioral rules represented by three DIGs and modeled by BRTs, and coupled with a physically-based groundwater model to investigate the impacts of agents' pumping behavior on the underlying groundwater system in the context of coupled human and environmental systems.

Formal Analysis of Cognitive Agent Behavior: formal theoretical basis

NARCIS (Netherlands)

Sharpanskykh, A.; Treur, J.

2006-01-01

In cognitive systems the behavior of an actor (an agent) can be considered from both an external and an internal perspective. This paper contributes an automated procedure for translating a given external behavioral specification into an executable specification of internal dynamics, by which the

Practice among Novice Change Agents in Schools

Science.gov (United States)

Blossing, Ulf

2016-01-01

The aim of the article is to understand practice as negotiation of meaning among novice and internal change agents in school organisations. The research question is as follows: What themes of participation and reification/management occur among the change agents? The study was qualitative in design using the social learning theory of community of…

Belief Change in Reasoning Agents

OpenAIRE

Jin, Yi

2007-01-01

The capability of changing beliefs upon new information in a rational and efficient way is crucial for an intelligent agent. Belief change therefore is one of the central research fields in Artificial Intelligence (AI) for over two decades. In the AI literature, two different kinds of belief change operations have been intensively investigated: belief update, which deal with situations where the new information describes changes of the world; and belief revision, which assumes the world is st...

Driving-forces model on individual behavior in scenarios considering moving threat agents

Science.gov (United States)

Li, Shuying; Zhuang, Jun; Shen, Shifei; Wang, Jia

2017-09-01

The individual behavior model is a contributory factor to improve the accuracy of agent-based simulation in different scenarios. However, few studies have considered moving threat agents, which often occur in terrorist attacks caused by attackers with close-range weapons (e.g., sword, stick). At the same time, many existing behavior models lack validation from cases or experiments. This paper builds a new individual behavior model based on seven behavioral hypotheses. The driving-forces model is an extension of the classical social force model considering scenarios including moving threat agents. An experiment was conducted to validate the key components of the model. Then the model is compared with an advanced Elliptical Specification II social force model, by calculating the fitting errors between the simulated and experimental trajectories, and being applied to simulate a specific circumstance. Our results show that the driving-forces model reduced the fitting error by an average of 33.9% and the standard deviation by an average of 44.5%, which indicates the accuracy and stability of the model in the studied situation. The new driving-forces model could be used to simulate individual behavior when analyzing the risk of specific scenarios using agent-based simulation methods, such as risk analysis of close-range terrorist attacks in public places.

Influencing agent group behavior by adjusting cultural trait values.

Science.gov (United States)

Tuli, Gaurav; Hexmoor, Henry

2010-10-01

Social reasoning and norms among individuals that share cultural traits are largely fashioned by those traits. We have explored predominant sociological and cultural traits. We offer a methodology for parametrically adjusting relevant traits. This exploratory study heralds a capability to deliberately tune cultural group traits in order to produce a desired group behavior. To validate our methodology, we implemented a prototypical-agent-based simulated test bed for demonstrating an exemplar from intelligence, surveillance, and reconnaissance scenario. A group of simulated agents traverses a hostile territory while a user adjusts their cultural group trait settings. Group and individual utilities are dynamically observed against parametric values for the selected traits. Uncertainty avoidance index and individualism are the cultural traits we examined in depth. Upon the user's training of the correspondence between cultural values and system utilities, users deliberately produce the desired system utilities by issuing changes to trait. Specific cultural traits are without meaning outside of their context. Efficacy and timely application of traits in a given context do yield desirable results. This paper heralds a path for the control of large systems via parametric cultural adjustments.

Change Agent – A Force Generating Resistance To Change Within An Organization?

Directory of Open Access Journals (Sweden)

Mariana Prediscan

2012-12-01

Full Text Available The purpose of this research is to identify if the change agent represents or not a force generating resistance to change within an organization. The employees affected by a change process are usually the ones who oppose to new implementations. Their opposition is bigger or smaller, depending on the extent that they are affected and also by the direction, either positive or negative. However, employee’s opposition can be potentiated or reduced, depending on the manifestation of the following forces within an organization: communications, the type of organizational structure, management style and organizational culture, forces which refer to the organizational climate. To answer our question, we have researched the current literature and discovered that the change agent can represent a force generating resistance to change within an organization in those situations when he or she identifies with a middle or top manager from the organizational pyramid. This information is valuable to researchers and practitioners, as for a long time, employees were considered the only ones manifesting resistance, the possibility that the change agent can oppose new changes being ignored.

Anesthesia, brain changes, and behavior: Insights from neural systems biology.

Science.gov (United States)

Colon, Elisabeth; Bittner, Edward A; Kussman, Barry; McCann, Mary Ellen; Soriano, Sulpicio; Borsook, David

2017-06-01

Long-term consequences of anesthetic exposure in humans are not well understood. It is possible that alterations in brain function occur beyond the initial anesthetic administration. Research in children and adults has reported cognitive and/or behavioral changes after surgery and general anesthesia that may be short lived in some patients, while in others, such changes may persist. The changes observed in humans are corroborated by a large body of evidence from animal studies that support a role for alterations in neuronal survival (neuroapoptosis) or structure (altered dendritic and glial morphology) and later behavioral deficits at older age after exposure to various anesthetic agents during fetal or early life. The potential of anesthetics to induce long-term alterations in brain function, particularly in vulnerable populations, warrants investigation. In this review, we critically evaluate the available preclinical and clinical data on the developing and aging brain, and in known vulnerable populations to provide insights into potential changes that may affect the general population of patients in a more, subtle manner. In addition this review summarizes underlying processes of how general anesthetics produce changes in the brain at the cellular and systems level and the current understanding underlying mechanisms of anesthetics agents on brain systems. Finally, we present how neuroimaging techniques currently emerge as promising approaches to evaluate and define changes in brain function resulting from anesthesia, both in the short and the long-term. Copyright © 2017 Elsevier Ltd. All rights reserved.

You changed your mind! Infants interpret a change in word as signaling a change in an agent's goals.

Science.gov (United States)

Jin, Kyong-Sun; Song, Hyun-Joo

2017-10-01

Language provides information about our psychological states. For instance, adults can use language to convey information about their goals or preferences. The current research examined whether 14- and 12-month-old infants could interpret a change in an agent's word as signaling a change in her goals. In two experiments, 14-month-olds (Experiment 1) and 12-month-olds (Experiment 2) were first familiarized to an event in which an agent uttered a novel word and then reached for one of two novel objects. During the test trials, the agent uttered a different novel word (different-word condition) or the same word (same-word condition) and then reached for the same object or the other object. Both 14- and 12-month-olds in the different-word condition expected the agent to change her goal and reach for the other object. In contrast, the infants in the same-word condition expected the agent to maintain her goal. In Experiment 3, 12-month-olds who heard two distinct sounds instead of the agent's novel words expected the agent to maintain her goal regardless of the change in the nonlinguistic sounds. Together, these results indicate that by 12months of age infants can use an agent's verbal information to detect a change in her goals. Copyright © 2017 Elsevier Inc. All rights reserved.

Collision Avoidance from Multiple Passive Agents with Partially Predictable Behavior

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Khalil Muhammad Zuhaib

2017-09-01

Full Text Available Navigating a robot in a dynamic environment is a challenging task, especially when the behavior of other agents such as pedestrians, is only partially predictable. Also, the kinodynamic constraints on robot motion add an extra challenge. This paper proposes a novel navigational strategy for collision avoidance of a kinodynamically constrained robot from multiple moving passive agents with partially predictable behavior. Specifically, this paper presents a new approach to identify the set of control inputs to the robot, named control obstacle, which leads it towards a collision with a passive agent moving along an arbitrary path. The proposed method is developed by generalizing the concept of nonlinear velocity obstacle (NLVO, which is used to avoid collision with a passive agent, and takes into account the kinodynamic constraints on robot motion. Further, it formulates the navigational problem as an optimization problem, which allows the robot to make a safe decision in the presence of various sources of unmodelled uncertainties. Finally, the performance of the algorithm is evaluated for different parameters and is compared to existing velocity obstacle-based approaches. The simulated experiments show the excellent performance of the proposed approach in term of computation time and success rate.

Mind-Reading and Behavior-Reading against Agents with and without Anthropomorphic Features in a Competitive Situation.

Science.gov (United States)

Terada, Kazunori; Yamada, Seiji

2017-01-01

Humans use two distinct cognitive strategies separately to understand and predict other humans' behavior. One is mind-reading, in which an internal state such as an intention or an emotional state is assumed to be a source of a variety of behaviors. The other is behavior-reading, in which an actor's behavior is modeled based on stimulus-response associations without assuming internal states behind the behavior. We hypothesize that anthropomorphic features are key for an observer switching between these two cognitive strategies in a competitive situation. We provide support for this hypothesis through two studies using four agents with different appearances. We show that only a human agent was thought to possess both the ability to generate a variety of behaviors and internal mental states, such as minds and emotions (Study 1). We also show that humans used mixed (opposing) strategies against a human agent and exploitative strategies against the agents with mechanical appearances when they played a repeated zero-sum game (Study 2). Our findings show that humans understand that human behavior is varied; that humans have internal states, such as minds and emotions; that the behavior of machines is governed by a limited number of fixed rules; and that machines do not possess internal mental states. Our findings also suggest that the function of mind-reading is to trigger a strategy for use against agents with variable behavior and that humans exploit others who lack behavioral variability based on behavior-reading in a competitive situation.

Mind-Reading and Behavior-Reading against Agents with and without Anthropomorphic Features in a Competitive Situation

Directory of Open Access Journals (Sweden)

Kazunori Terada

2017-07-01

Full Text Available Humans use two distinct cognitive strategies separately to understand and predict other humans' behavior. One is mind-reading, in which an internal state such as an intention or an emotional state is assumed to be a source of a variety of behaviors. The other is behavior-reading, in which an actor's behavior is modeled based on stimulus-response associations without assuming internal states behind the behavior. We hypothesize that anthropomorphic features are key for an observer switching between these two cognitive strategies in a competitive situation. We provide support for this hypothesis through two studies using four agents with different appearances. We show that only a human agent was thought to possess both the ability to generate a variety of behaviors and internal mental states, such as minds and emotions (Study 1. We also show that humans used mixed (opposing strategies against a human agent and exploitative strategies against the agents with mechanical appearances when they played a repeated zero-sum game (Study 2. Our findings show that humans understand that human behavior is varied; that humans have internal states, such as minds and emotions; that the behavior of machines is governed by a limited number of fixed rules; and that machines do not possess internal mental states. Our findings also suggest that the function of mind-reading is to trigger a strategy for use against agents with variable behavior and that humans exploit others who lack behavioral variability based on behavior-reading in a competitive situation.

Behavioral biometrics for verification and recognition of malicious software agents

Science.gov (United States)

Yampolskiy, Roman V.; Govindaraju, Venu

2008-04-01

Homeland security requires technologies capable of positive and reliable identification of humans for law enforcement, government, and commercial applications. As artificially intelligent agents improve in their abilities and become a part of our everyday life, the possibility of using such programs for undermining homeland security increases. Virtual assistants, shopping bots, and game playing programs are used daily by millions of people. We propose applying statistical behavior modeling techniques developed by us for recognition of humans to the identification and verification of intelligent and potentially malicious software agents. Our experimental results demonstrate feasibility of such methods for both artificial agent verification and even for recognition purposes.

Exploring complex dynamics in multi agent-based intelligent systems: Theoretical and experimental approaches using the Multi Agent-based Behavioral Economic Landscape (MABEL) model

Science.gov (United States)

Alexandridis, Konstantinos T.

This dissertation adopts a holistic and detailed approach to modeling spatially explicit agent-based artificial intelligent systems, using the Multi Agent-based Behavioral Economic Landscape (MABEL) model. The research questions that addresses stem from the need to understand and analyze the real-world patterns and dynamics of land use change from a coupled human-environmental systems perspective. Describes the systemic, mathematical, statistical, socio-economic and spatial dynamics of the MABEL modeling framework, and provides a wide array of cross-disciplinary modeling applications within the research, decision-making and policy domains. Establishes the symbolic properties of the MABEL model as a Markov decision process, analyzes the decision-theoretic utility and optimization attributes of agents towards comprising statistically and spatially optimal policies and actions, and explores the probabilogic character of the agents' decision-making and inference mechanisms via the use of Bayesian belief and decision networks. Develops and describes a Monte Carlo methodology for experimental replications of agent's decisions regarding complex spatial parcel acquisition and learning. Recognizes the gap on spatially-explicit accuracy assessment techniques for complex spatial models, and proposes an ensemble of statistical tools designed to address this problem. Advanced information assessment techniques such as the Receiver-Operator Characteristic curve, the impurity entropy and Gini functions, and the Bayesian classification functions are proposed. The theoretical foundation for modular Bayesian inference in spatially-explicit multi-agent artificial intelligent systems, and the ensembles of cognitive and scenario assessment modular tools build for the MABEL model are provided. Emphasizes the modularity and robustness as valuable qualitative modeling attributes, and examines the role of robust intelligent modeling as a tool for improving policy-decisions related to land

Enriching project organizations with formal change agents

DEFF Research Database (Denmark)

Eskerod, Pernille; Justesen, Just Bendix; Sjøgaard, Gisela

2017-01-01

Purpose: Project success requires effective and efficient cooperation between the project organization and the permanent organization in which the project takes place. The purpose of this paper is to discuss potentials and pitfalls from enriching project organizations by appointing peers as formal...... and middle and top management support are major determinants of success within change projects. To select change agents that the employees respect and can identify with, combined with top management prioritization, is important in order for the project organization to benefit from the additional role...... change agents. Design/methodology/approach: The paper is based on a literature review and a multiple-case study in which six organizations participated in an action-oriented research project. The aim for the organizations was to obtain a better health status among the employees by accomplishing...

Expressed satisfaction with the nominal group technique among change agents

NARCIS (Netherlands)

Gresham, J.N.

1986-01-01

Expressed Satisfaction with the Nominal Group Technique Among Change Agents. Jon Neal Gresham The purpose of this study was to determine whether or not policymakers and change agents with differing professional backgrounds and responsibilities, who participated in the structured process of a

Scaling Climate Change Communication for Behavior Change

Science.gov (United States)

Rodriguez, V. C.; Lappé, M.; Flora, J. A.; Ardoin, N. M.; Robinson, T. N.

2014-12-01

Ultimately, effective climate change communication results in a change in behavior, whether the change is individual, household or collective actions within communities. We describe two efforts to promote climate-friendly behavior via climate communication and behavior change theory. Importantly these efforts are designed to scale climate communication principles focused on behavior change rather than soley emphasizing climate knowledge or attitudes. Both cases are embedded in rigorous evaluations (randomized controlled trial and quasi-experimental) of primary and secondary outcomes as well as supplementary analyses that have implications for program refinement and program scaling. In the first case, the Girl Scouts "Girls Learning Environment and Energy" (GLEE) trial is scaling the program via a Massive Open Online Course (MOOC) for Troop Leaders to teach the effective home electricity and food and transportation energy reduction programs. The second case, the Alliance for Climate Education (ACE) Assembly Program, is advancing the already-scaled assembly program by using communication principles to further engage youth and their families and communities (school and local communities) in individual and collective actions. Scaling of each program uses online learning platforms, social media and "behavior practice" videos, mastery practice exercises, virtual feedback and virtual social engagement to advance climate-friendly behavior change. All of these communication practices aim to simulate and advance in-person train-the-trainers technologies.As part of this presentation we outline scaling principles derived from these two climate change communication and behavior change programs.

Temperature-dependent changes in the host-seeking behaviors of parasitic nematodes.

Science.gov (United States)

Lee, Joon Ha; Dillman, Adler R; Hallem, Elissa A

2016-05-06

Entomopathogenic nematodes (EPNs) are lethal parasites of insects that are of interest as biocontrol agents for insect pests and disease vectors. Although EPNs have been successfully commercialized for pest control, their efficacy in the field is often inconsistent for reasons that remain elusive. EPN infective juveniles (IJs) actively search for hosts to infect using a diverse array of host-emitted odorants. Here we investigate whether their host-seeking behavior is subject to context-dependent modulation. We find that EPN IJs exhibit extreme plasticity of olfactory behavior as a function of cultivation temperature. Many odorants that are attractive for IJs grown at lower temperatures are repulsive for IJs grown at higher temperatures and vice versa. Temperature-induced changes in olfactory preferences occur gradually over the course of days to weeks and are reversible. Similar changes in olfactory behavior occur in some EPNs as a function of IJ age. EPNs also show temperature-dependent changes in their host-seeking strategy: IJs cultured at lower temperatures appear to more actively cruise for hosts than IJs cultured at higher temperatures. Furthermore, we find that the skin-penetrating rat parasite Strongyloides ratti also shows temperature-dependent changes in olfactory behavior, demonstrating that such changes occur in mammalian-parasitic nematodes. IJs are developmentally arrested and long-lived, often surviving in the environment through multiple seasonal temperature changes. Temperature-dependent modulation of behavior may enable IJs to optimize host seeking in response to changing environmental conditions, and may play a previously unrecognized role in shaping the interactions of both beneficial and harmful parasitic nematodes with their hosts.

Using Motivational Interviewing to reduce threats in conversations about environmental behavior.

Science.gov (United States)

Klonek, Florian E; Güntner, Amelie V; Lehmann-Willenbrock, Nale; Kauffeld, Simone

2015-01-01

Human behavior contributes to a waste of environmental resources and our society is looking for ways to reduce this problem. However, humans may perceive feedback about their environmental behavior as threatening. According to self-determination theory (SDT), threats decrease intrinsic motivation for behavior change. According to self-affirmation theory (SAT), threats can harm individuals' self-integrity. Therefore, individuals should show self-defensive biases, e.g., in terms of presenting counter-arguments when presented with environmental behavior change. The current study examines how change recipients respond to threats from change agents in interactions about environmental behavior change. Moreover, we investigate how Motivational Interviewing (MI) - an intervention aimed at increasing intrinsic motivation - can reduce threats at both the social and cognitive level. We videotaped 68 dyadic interactions with change agents who either did or did not use MI (control group). We coded agents verbal threats and recipients' verbal expressions of motivation. Recipients also rated agents' level of confrontation and empathy (i.e., cognitive reactions). As hypothesized, threats were significantly lower when change agents used MI. Perceived confrontations converged with observable social behavior of change agents in both groups. Moreover, behavioral threats showed a negative association with change recipients' expressed motivation (i.e., reasons to change). Contrary to our expectations, we found no relation between change agents' verbal threats and change recipients' verbally expressed self-defenses (i.e., sustain talk). Our results imply that MI reduces the adverse impact of threats in conversations about environmental behavior change on both the social and cognitive level. We discuss theoretical implications of our study in the context of SAT and SDT and suggest practical implications for environmental change agents in organizations.

Multi-agent models of spatial cognition, learning and complex choice behavior in urban environments

NARCIS (Netherlands)

Arentze, Theo; Timmermans, Harry; Portugali, J.

2006-01-01

This chapter provides an overview of ongoing research projects in the DDSS research program at TUE related to multi-agents. Projects include (a) the use of multi-agent models and concepts of artificial intelligence to develop models of activity-travel behavior; (b) the use of a multi-agent model to

Female Clergy as Agents of Religious Change?

Directory of Open Access Journals (Sweden)

Kati Niemelä

2011-08-01

Full Text Available This article focuses on female clergy as potential agents of change in the Church. I argue that the adoption of female clergy is one of the main factors that cause the Church to change its practices, policies and theological orientation. The first female ministers were ordained in the Evangelical Lutheran Church of Finland in 1988. This is fairly late compared to other Nordic countries. However, the number of female ministers and female students has been growing fast and nowadays about 70 percent of theology students are female.The paper is based on quantitative surveys conducted among the members of the Clergy Union in 2002, 2006 and 2010 (N = about 1,000 each and among the applicants for university studies in theology in 2010. The research shows that clergywomen are changing the Church in a clearly more liberal direction. They do it in various areas of church life: they change the perception of faith and dogma, the policies of the Church as well as daily practices in parishes. Clergymen are notably more traditional in their orientation, even young clergymen. Therefore it is especially the female clergy who serve as agents of religious change in the Church.

Method for distributed agent-based non-expert simulation of manufacturing process behavior

Science.gov (United States)

Ivezic, Nenad; Potok, Thomas E.

2004-11-30

A method for distributed agent based non-expert simulation of manufacturing process behavior on a single-processor computer comprises the steps of: object modeling a manufacturing technique having a plurality of processes; associating a distributed agent with each the process; and, programming each the agent to respond to discrete events corresponding to the manufacturing technique, wherein each discrete event triggers a programmed response. The method can further comprise the step of transmitting the discrete events to each agent in a message loop. In addition, the programming step comprises the step of conditioning each agent to respond to a discrete event selected from the group consisting of a clock tick message, a resources received message, and a request for output production message.

Active assistance technology for health-related behavior change: an interdisciplinary review.

Science.gov (United States)

Kennedy, Catriona M; Powell, John; Payne, Thomas H; Ainsworth, John; Boyd, Alan; Buchan, Iain

2012-06-14

Information technology can help individuals to change their health behaviors. This is due to its potential for dynamic and unbiased information processing enabling users to monitor their own progress and be informed about risks and opportunities specific to evolving contexts and motivations. However, in many behavior change interventions, information technology is underused by treating it as a passive medium focused on efficient transmission of information and a positive user experience. To conduct an interdisciplinary literature review to determine the extent to which the active technological capabilities of dynamic and adaptive information processing are being applied in behavior change interventions and to identify their role in these interventions. We defined key categories of active technology such as semantic information processing, pattern recognition, and adaptation. We conducted the literature search using keywords derived from the categories and included studies that indicated a significant role for an active technology in health-related behavior change. In the data extraction, we looked specifically for the following technology roles: (1) dynamic adaptive tailoring of messages depending on context, (2) interactive education, (3) support for client self-monitoring of behavior change progress, and (4) novel ways in which interventions are grounded in behavior change theories using active technology. The search returned 228 potentially relevant articles, of which 41 satisfied the inclusion criteria. We found that significant research was focused on dialog systems, embodied conversational agents, and activity recognition. The most covered health topic was physical activity. The majority of the studies were early-stage research. Only 6 were randomized controlled trials, of which 4 were positive for behavior change and 5 were positive for acceptability. Empathy and relational behavior were significant research themes in dialog systems for behavior change, with

Responsive Social Agents: Feedback-Sensitive Behavior Generation for Social Interactions

NARCIS (Netherlands)

Vroon, Jered Hendrik; Englebienne, Gwenn; Evers, Vanessa; Agah, Arvin; Cabibihan, John-John; Howard, Ayanna M.; Salichs, Miguel A.; He, Hongsheng

2016-01-01

How can we generate appropriate behavior for social artificial agents? A common approach is to (1) establish with controlled experiments which action is most appropriate in which setting, and (2) select actions based on this knowledge and an estimate of the setting. This approach faces challenges,

The importance of role sending in the sensemaking of change agent roles.

Science.gov (United States)

Tucker, Danielle A; Hendy, Jane; Barlow, James

2015-01-01

The purpose of this paper is to investigate what happens when a lack of role-sending results in ambiguous change agent roles during a large scale organisational reconfiguration. The authors consider the role of sensemaking in resolving role ambiguity of middle manager change agents and the consequences of this for organisational restructuring. Data were collected from a case study analysis of significant organisational reconfiguration across a local National Health Service Trust in the UK. Data consists of 82 interviews, complemented by analysis of over 100 documents and field notes from 51 hours of observations collected over five phases covering a three year period before, during and after the reconfiguration. An inductive qualitative analysis revealed the sensemaking processes by which ambiguity in role definition was resolved. The data explains how change agents collectively make sense of a role in their own way, drawing on their own experiences and views as well as cues from other organisational members. The authors also identified the organisational outcomes which resulted from this freedom in sensemaking. This study demonstrates that by leaving too much flexibility in the definition of the role, agents developed their own sensemaking which was subsequently very difficult to manipulate. In creating new roles, management first needs to have a realistic vision of the task and roles that their agents will perform, and second, to communicate these expectations to both those responsible for recruiting these roles and to the agents themselves. Much of the focus in sensemaking research has been on the importance of change agents' sensemaking of the change but there has been little focus on how change agents sensemake their own role in the change.

Change agent's contribution to recipients' resistance to change: A two-sided story

NARCIS (Netherlands)

Vos, Janita F.J.; Rupert, Joyce

2018-01-01

In the change management literature, most studies on recipients’ resistance to change include only the views of agents or of recipients, thereby ignoring that these parties may have different perceptions. In this quantitative study, we include the perceptions of both parties in studying the

Advance directives: the clinical nurse specialist as a change agent.

Science.gov (United States)

Meehan, Karen Anne

2009-01-01

The purpose of this article is to describe the impact the clinical nurse specialist (CNS) has on the advance directive process within the cardiac surgery patient population. As a change agent, the CNS needs to be able to increase the number of advance directives obtained and increase the provision of dignified, self-directed, quality patient care. With requirements from The Joint Commission and the Patient Self-determination Act, the change in process must take place to ensure that healthcare professionals are doing all they can do to carry out a patient's wishes. The 6-Source Influencer Model is applied to a case study to illustrate the role of the CNS as a change agent. Following this model, the CNS can facilitate lasting institutional change in the advance directive process. Based on the example, it is possible that a CNS can act as a change agent for other patient populations within the healthcare setting.

A Composite Agent Architecture for Multi-Agent Simulations

OpenAIRE

VanPutte, Michael; Osborn, Brian; Hiles, John

2002-01-01

CGF Computer Generated Forces and Behavioral Representation The MOVES Institute’s Computer-Generated Autonomy Group has focused on a research goal of modeling complex and adaptive behavior while at the same time making the behavior easier to create and control. This research has led to several techniques for agent construction, that includes a social and organization relationship management engine, a composite agent architecture, an agent goal apparatus, a structure for capturi...

Multispace Behavioral Model for Face-Based Affective Social Agents

Directory of Open Access Journals (Sweden)

DiPaola Steve

2007-01-01

Full Text Available This paper describes a behavioral model for affective social agents based on three independent but interacting parameter spaces: knowledge, personality, and mood. These spaces control a lower-level geometry space that provides parameters at the facial feature level. Personality and mood use findings in behavioral psychology to relate the perception of personality types and emotional states to the facial actions and expressions through two-dimensional models for personality and emotion. Knowledge encapsulates the tasks to be performed and the decision-making process using a specially designed XML-based language. While the geometry space provides an MPEG-4 compatible set of parameters for low-level control, the behavioral extensions available through the triple spaces provide flexible means of designing complicated personality types, facial expression, and dynamic interactive scenarios.

Multispace Behavioral Model for Face-Based Affective Social Agents

Directory of Open Access Journals (Sweden)

Ali Arya

2007-03-01

Full Text Available This paper describes a behavioral model for affective social agents based on three independent but interacting parameter spaces: knowledge, personality, and mood. These spaces control a lower-level geometry space that provides parameters at the facial feature level. Personality and mood use findings in behavioral psychology to relate the perception of personality types and emotional states to the facial actions and expressions through two-dimensional models for personality and emotion. Knowledge encapsulates the tasks to be performed and the decision-making process using a specially designed XML-based language. While the geometry space provides an MPEG-4 compatible set of parameters for low-level control, the behavioral extensions available through the triple spaces provide flexible means of designing complicated personality types, facial expression, and dynamic interactive scenarios.

Evaluating Water Demand Using Agent-Based Modeling

Science.gov (United States)

Lowry, T. S.

2004-12-01

The supply and demand of water resources are functions of complex, inter-related systems including hydrology, climate, demographics, economics, and policy. To assess the safety and sustainability of water resources, planners often rely on complex numerical models that relate some or all of these systems using mathematical abstractions. The accuracy of these models relies on how well the abstractions capture the true nature of the systems interactions. Typically, these abstractions are based on analyses of observations and/or experiments that account only for the statistical mean behavior of each system. This limits the approach in two important ways: 1) It cannot capture cross-system disruptive events, such as major drought, significant policy change, or terrorist attack, and 2) it cannot resolve sub-system level responses. To overcome these limitations, we are developing an agent-based water resources model that includes the systems of hydrology, climate, demographics, economics, and policy, to examine water demand during normal and extraordinary conditions. Agent-based modeling (ABM) develops functional relationships between systems by modeling the interaction between individuals (agents), who behave according to a probabilistic set of rules. ABM is a "bottom-up" modeling approach in that it defines macro-system behavior by modeling the micro-behavior of individual agents. While each agent's behavior is often simple and predictable, the aggregate behavior of all agents in each system can be complex, unpredictable, and different than behaviors observed in mean-behavior models. Furthermore, the ABM approach creates a virtual laboratory where the effects of policy changes and/or extraordinary events can be simulated. Our model, which is based on the demographics and hydrology of the Middle Rio Grande Basin in the state of New Mexico, includes agent groups of residential, agricultural, and industrial users. Each agent within each group determines its water usage

Behavior changes after minor emergency procedures.

Science.gov (United States)

Brodzinski, Holly; Iyer, Srikant

2013-10-01

Procedures are common in pediatric emergency departments and frequently cause distress from pain and/or anxiety. The objective of this study was to describe the incidence, types, and magnitude of long-term behavior changes after procedures in the emergency setting. This is a descriptive pilot study to determine if children display negative behavioral changes after a minor emergency department procedure (abscess drainage or laceration repair). Behavior change was measured at 1 week by telephone follow-up using the 27-item Post Hospitalization Behavior Questionnaire, a well-validated instrument that measures behavior changes across 6 categories: general anxiety, separation anxiety, anxiety about sleep, eating disturbances, aggression toward authority, and apathy/withdrawal. Significant behavior change was defined as 5 or more negative behavior changes on the 27-item questionnaire. Twenty percent of children who underwent abscess drainage (n = 30) and 20% who underwent laceration repair (n = 30) displayed significant negative behavior change at 1 week. Children who displayed significant negative behavior change tended to be younger (3.6 vs 5.9 years) and trended toward being more likely to have received anxiolysis or sedation (16.7% vs 8.3%). Separation anxiety, sleep difficulties, and aggression toward authority were the most common behavior changes. In this pilot study, a significant percentage of children undergoing common emergency procedures exhibited an appreciable burden of negative behavior change at 1 week; these results demonstrate the need for further rigorous investigation of predictors of these changes and interventions, which can ameliorate these changes.

Using Motivational Interviewing to reduce threats in conversations about environmental behavior

Directory of Open Access Journals (Sweden)

Florian Erik Klonek

2015-07-01

Full Text Available Human behavior contributes to a waste of environmental resources and our society is looking for ways to reduce this problem. However, humans may perceive feedback about their environmental behavior as threatening. According to self-determination theory (SDT, threats decrease intrinsic motivation for behavior change. According to self-affirmation theory (SAT, threats can harm individuals’ self-integrity. Therefore, individuals should show self-defensive biases, e.g., in terms of presenting counter-arguments when presented with environmental behavior change. The current study examines how change recipients respond to threats from change agents in interactions about environmental behavior change. Moreover, we investigate how Motivational Interviewing (MI—an intervention aimed at increasing intrinsic motivation—can reduce threats at both the social and cognitive level. We videotaped 68 dyadic interactions with change agents who either did or did not use MI (control group. We coded agents verbal threats and recipients’ verbal expressions of motivation. Recipients also rated agents’ level of confrontation and empathy (i.e., cognitive reactions. As hypothesized, threats were significantly lower when change agents used MI. Perceived confrontations converged with observable social behavior of change agents in both groups. Moreover, behavioral threats showed a negative association with change recipients’ expressed motivation (i.e., reasons to change. Contrary to our expectations, we found no relation between change agents’ verbal threats and change recipients’ verbally expressed self-defenses (i.e., sustain talk. Our results imply that MI reduces the adverse impact of threats in conversations about environmental behavior change on both the social and cognitive level. We discuss theoretical implications of our study in the context of SAT and SDT and suggest practical implications for environmental change agents in organizations.

Group-Wise Herding Behavior in Financial Markets: An Agent-Based Modeling Approach

Science.gov (United States)

Kim, Minsung; Kim, Minki

2014-01-01

In this paper, we shed light on the dynamic characteristics of rational group behaviors and the relationship between monetary policy and economic units in the financial market by using an agent-based model (ABM), the Hurst exponent, and the Shannon entropy. First, an agent-based model is used to analyze the characteristics of the group behaviors at different levels of irrationality. Second, the Hurst exponent is applied to analyze the characteristics of the trend-following irrationality group. Third, the Shannon entropy is used to analyze the randomness and unpredictability of group behavior. We show that in a system that focuses on macro-monetary policy, steep fluctuations occur, meaning that the medium-level irrationality group has the highest Hurst exponent and Shannon entropy among all of the groups. However, in a system that focuses on micro-monetary policy, all group behaviors follow a stable trend, and the medium irrationality group thus remains stable, too. Likewise, in a system that focuses on both micro- and macro-monetary policies, all groups tend to be stable. Consequently, we find that group behavior varies across economic units at each irrationality level for micro- and macro-monetary policy in the financial market. Together, these findings offer key insights into monetary policy. PMID:24714635

Thermal behavior and transformation kinetics of titanium dioxide nanocrystallites prepared by coupling agents

International Nuclear Information System (INIS)

Chen, W.C.; Wang, Y.T.; Shih, C.J.

2010-01-01

Coupling agents have been widely used to retard the sintering of silver paste and minimize co-firing defects due to densification mismatch between silver and dielectrics. The thermal-decomposition and crystallization behavior of the coupling agent is a subject of great concern. To elucidate what is responsible for the oxidation, Ti organometallic compounds were calcined at different temperatures (350, 400, 500, 600 o C) for 2 h and the crystallization behavior was determined by X-ray diffraction (XRD). The activation energy for crystallization of coupling agents was studied by using isothermal methods. According to the quantitative XRD method, the values calculated by the Johnson-Mehi-Avrami equation are 134.9 kJ mol -1 . The growth morphology parameters are 1.061, 0.915, 1.016 respectively. Combining the results of DTA, XRD and TEM, it is found that formation of nanocrystallized titania accompanies the combustion of organometallic compounds.

Thermal behavior and transformation kinetics of titanium dioxide nanocrystallites prepared by coupling agents

Energy Technology Data Exchange (ETDEWEB)

Chen, W.C. [School of Dentistry, Kaohsiung Medical University, 100 Shi-Chuan 1st Road, Kaohsiung 80708, Taiwan (China); Wang, Y.T. [Department of Medical Research and Education, Chen Hsin General Hospital, 45 Cheng-Hsin Street, Pai-Tou, Taipei 11220, Taiwan (China); Shih, C.J., E-mail: cjshih@kmu.edu.t [Department of Fragrance and Cosmetics Science, Kaohsiung Medical University, 100 Shi-Chuan1st Road, Kaohsiung 80708, Taiwan (China)

2010-02-04

Coupling agents have been widely used to retard the sintering of silver paste and minimize co-firing defects due to densification mismatch between silver and dielectrics. The thermal-decomposition and crystallization behavior of the coupling agent is a subject of great concern. To elucidate what is responsible for the oxidation, Ti organometallic compounds were calcined at different temperatures (350, 400, 500, 600 {sup o}C) for 2 h and the crystallization behavior was determined by X-ray diffraction (XRD). The activation energy for crystallization of coupling agents was studied by using isothermal methods. According to the quantitative XRD method, the values calculated by the Johnson-Mehi-Avrami equation are 134.9 kJ mol{sup -1}. The growth morphology parameters are 1.061, 0.915, 1.016 respectively. Combining the results of DTA, XRD and TEM, it is found that formation of nanocrystallized titania accompanies the combustion of organometallic compounds.

Persuasion Model and Its Evaluation Based on Positive Change Degree of Agent Emotion

Science.gov (United States)

Jinghua, Wu; Wenguang, Lu; Hailiang, Meng

For it can meet needs of negotiation among organizations take place in different time and place, and for it can make its course more rationality and result more ideal, persuasion based on agent can improve cooperation among organizations well. Integrated emotion change in agent persuasion can further bring agent advantage of artificial intelligence into play. Emotion of agent persuasion is classified, and the concept of positive change degree is given. Based on this, persuasion model based on positive change degree of agent emotion is constructed, which is explained clearly through an example. Finally, the method of relative evaluation is given, which is also verified through a calculation example.

Beyond Needs Assessments: Marketing as Change Agent.

Science.gov (United States)

Piland, William E.

1984-01-01

Views marketing techniques as agents of change providing valuable assistance to community college decision makers. Discusses the importance of a balance among the four P's of marketing (i.e., promotion, price, place, and product); and seven procedural steps in developing a sound marketing strategy. (DMM)

Behavioral determinants of occupational exposure to chemical agents.

Science.gov (United States)

Meijman, T F; Ulenbelt, P; Lumens, M E; Herber, R F

1996-01-01

In the demand-control model (see T. Theorell & R. A. Karasek, 1996), it is hypothesized that workers in active jobs (high demands-high decision latitude) can exert effective coping strategies when confronted with environmental stessors. Thus, when exposed to similar levels of a chemical agent, lower concentrations of this agent in blood could be expected in these workers in comparison with workers in passive jobs. This theory was tested in 2 studies of lead-exposed workers: 18 male Caucasian workers from an electric accumulatory factory and 18 male Caucasian workers from a lead smelting factory. The results did not follow the hypothesized outcomes. In the work environment of the workers in active jobs, lower concentrations of lead in air were measured, but higher levels of lead in blood were observed in these workers. The opposite was true of workers in passive jobs. Differences in hygienic behavior at work may explain these unexpected results.

Conceptual Modeling of Events as Information Objects and Change Agents

DEFF Research Database (Denmark)

Bækgaard, Lars

as a totality of an information object and a change agent. When an event is modeled as an information object it is comparable to an entity that exists only at a specific point in time. It has attributes and can be used for querying and specification of constraints. When an event is modeled as a change agent...... it is comparable to an executable transaction schema. Finally, we briefly compare our approach to object-oriented approaches based on encapsulated objects....

A Culture-Sensitive Agent in Kirman's Ant Model

Science.gov (United States)

Chen, Shu-Heng; Liou, Wen-Ching; Chen, Ting-Yu

The global financial crisis brought a serious collapse involving a "systemic" meltdown. Internet technology and globalization have increased the chances for interaction between countries and people. The global economy has become more complex than ever before. Mark Buchanan [12] indicated that agent-based computer models will prevent another financial crisis and has been particularly influential in contributing insights. There are two reasons why culture-sensitive agent on the financial market has become so important. Therefore, the aim of this article is to establish a culture-sensitive agent and forecast the process of change regarding herding behavior in the financial market. We based our study on the Kirman's Ant Model[4,5] and Hofstede's Natational Culture[11] to establish our culture-sensitive agent based model. Kirman's Ant Model is quite famous and describes financial market herding behavior from the expectations of the future of financial investors. Hofstede's cultural consequence used the staff of IBM in 72 different countries to understand the cultural difference. As a result, this paper focuses on one of the five dimensions of culture from Hofstede: individualism versus collectivism and creates a culture-sensitive agent and predicts the process of change regarding herding behavior in the financial market. To conclude, this study will be of importance in explaining the herding behavior with cultural factors, as well as in providing researchers with a clearer understanding of how herding beliefs of people about different cultures relate to their finance market strategies.

Predictors and correlates for weight changes in patients co-treated with olanzapine and weight mitigating agents; a post-hoc analysis

Directory of Open Access Journals (Sweden)

Heinloth Alexandra N

2009-03-01

Full Text Available Abstract Background This study focuses on exploring the relationship between changes in appetite or eating behaviors and subsequent weight change for adult patients with schizophrenia or bipolar disorder treated with olanzapine and adjunctive potential weight mitigating pharmacotherapy. The aim is not to compare different weight mitigating agents, but to evaluate patients' characteristics and changes in their eating behaviors during treatment. Identification of patient subgroups with different degrees of susceptibility to the effect of weight mitigating agents during olanzapine treatment may aid clinicians in treatment decisions. Methods Data were obtained from 3 randomized, double-blind, placebo-controlled, 16-week clinical trials. Included were 158 patients with schizophrenia or bipolar disorder and a body mass index (BMI ≥ 25 kg/m2 who had received olanzapine treatment in combination with nizatidine (n = 68, sibutramine (n = 42, or amantadine (n = 48. Individual patients were analyzed for categorical weight loss ≥ 2 kg and weight gain ≥ 1 kg. Variables that were evaluated as potential predictors of weight outcomes included baseline patient characteristics, factors of the Eating Inventory, individual items of the Eating Behavior Assessment, and the Visual Analog Scale. Results Predictors/correlates of weight loss ≥ 2 kg included: high baseline BMI, low baseline interest in food, and a decrease from baseline to endpoint in appetite, hunger, or cravings for carbohydrates. Reduced cognitive restraint, increase in hunger, and increased overeating were associated with a higher probability of weight gain ≥ 1 kg. Conclusion The association between weight gain and lack of cognitive restraint in the presence of increased appetite suggests potential benefit of psychoeducational counseling in conjunction with adjunctive pharmacotherapeutic agents in limiting weight gain during antipsychotic drug therapy. Trial Registration This analysis was not

Predictors and correlates for weight changes in patients co-treated with olanzapine and weight mitigating agents; a post-hoc analysis.

Science.gov (United States)

Stauffer, Virginia L; Lipkovich, Ilya; Hoffmann, Vicki Poole; Heinloth, Alexandra N; McGregor, H Scott; Kinon, Bruce J

2009-03-28

This study focuses on exploring the relationship between changes in appetite or eating behaviors and subsequent weight change for adult patients with schizophrenia or bipolar disorder treated with olanzapine and adjunctive potential weight mitigating pharmacotherapy. The aim is not to compare different weight mitigating agents, but to evaluate patients' characteristics and changes in their eating behaviors during treatment. Identification of patient subgroups with different degrees of susceptibility to the effect of weight mitigating agents during olanzapine treatment may aid clinicians in treatment decisions. Data were obtained from 3 randomized, double-blind, placebo-controlled, 16-week clinical trials. Included were 158 patients with schizophrenia or bipolar disorder and a body mass index (BMI) > or = 25 kg/m2 who had received olanzapine treatment in combination with nizatidine (n = 68), sibutramine (n = 42), or amantadine (n = 48). Individual patients were analyzed for categorical weight loss > or= 2 kg and weight gain > or = 1 kg. Variables that were evaluated as potential predictors of weight outcomes included baseline patient characteristics, factors of the Eating Inventory, individual items of the Eating Behavior Assessment, and the Visual Analog Scale. Predictors/correlates of weight loss > or = 2 kg included: high baseline BMI, low baseline interest in food, and a decrease from baseline to endpoint in appetite, hunger, or cravings for carbohydrates. Reduced cognitive restraint, increase in hunger, and increased overeating were associated with a higher probability of weight gain > or = 1 kg. The association between weight gain and lack of cognitive restraint in the presence of increased appetite suggests potential benefit of psychoeducational counseling in conjunction with adjunctive pharmacotherapeutic agents in limiting weight gain during antipsychotic drug therapy. This analysis was not a clinical trial and did not involve any medical intervention.

Behavioral interventions for office-based care: behavior change.

Science.gov (United States)

Delfino, Matthew; Larzelere, Michele McCarthy

2014-03-01

Family physicians play an important role in identifying and treating the behavioral etiologies of morbidity and mortality. Changing behavior is a challenging process that begins with identifying a patient's readiness to change. Interventions, such as motivational interviewing, are used to increase a patient's desire to change, and cognitive behavioral therapy can be initiated to increase a patient's likelihood of change, particularly if barriers are identified. After patients embark on change, family physicians are uniquely positioned to connect them to self-help programs, more intensive psychotherapy, and newer technology-based support programs, and to provide repeated, brief, positive reinforcement. Specific behavioral interventions that can be effective include computerized smoking cessation programs; electronic reminders and support delivered by family physicians or other clinicians for weight loss; linkage to community-based programs for seniors; increased length and demands of in-school programs to support exercise participation by children; and access reduction education to prevent firearm injury. Written permission from the American Academy of Family Physicians is required for reproduction of this material in whole or in part in any form or medium.

A self-adapting herding model: The agent judge-abilities influence the dynamic behaviors

Science.gov (United States)

Dong, Linrong

2008-10-01

We propose a self-adapting herding model, in which the financial markets consist of agent clusters with different sizes and market desires. The ratio of successful exchange and merger depends on the volatility of the market and the market desires of the agent clusters. The desires are assigned in term of the wealth of the agent clusters when they merge. After an exchange, the beneficial cluster’s desire keeps on the same, the losing one’s desire is altered which is correlative with the agent judge-ability. A parameter R is given to all agents to denote the judge-ability. The numerical calculation shows that the dynamic behaviors of the market are influenced distinctly by R, which includes the exponential magnitudes of the probability distribution of sizes of the agent clusters and the volatility autocorrelation of the returns, the intensity and frequency of the volatility.

Behavior change

Science.gov (United States)

This brief entry presents the mediating-moderating variable model as a conceptual framework for understanding behavior change in regard to physical activity/exercise and adiposity. The ideas are applied to real world situations....

Why behavior change is difficult to sustain.

Science.gov (United States)

Bouton, Mark E

2014-11-01

Unhealthy behavior is responsible for much human disease, and a common goal of contemporary preventive medicine is therefore to encourage behavior change. However, while behavior change often seems easy in the short run, it can be difficult to sustain. This article provides a selective review of research from the basic learning and behavior laboratory that provides some insight into why. The research suggests that methods used to create behavior change (including extinction, counterconditioning, punishment, reinforcement of alternative behavior, and abstinence reinforcement) tend to inhibit, rather than erase, the original behavior. Importantly, the inhibition, and thus behavior change more generally, is often specific to the "context" in which it is learned. In support of this view, the article discusses a number of lapse and relapse phenomena that occur after behavior has been changed (renewal, spontaneous recovery, reinstatement, rapid reacquisition, and resurgence). The findings suggest that changing a behavior can be an inherently unstable and unsteady process; frequent lapses should be expected. In the long run, behavior-change therapies might benefit from paying attention to the context in which behavior change occurs. Copyright © 2014 Elsevier Inc. All rights reserved.

Persuasive Conversational Agent with Persuasion Tactics

Science.gov (United States)

Narita, Tatsuya; Kitamura, Yasuhiko

Persuasive conversational agents persuade people to change their attitudes or behaviors through conversation, and are expected to be applied as virtual sales clerks in e-shopping sites. As an approach to create such an agent, we have developed a learning agent with the Wizard of Oz method in which a person called Wizard talks to the user pretending to be the agent. The agent observes the conversations between the Wizard and the user, and learns how to persuade people. In this method, the Wizard has to reply to most of the user's inputs at the beginning, but the burden gradually falls because the agent learns how to reply as the conversation model grows.

Agent Model Development for Assessing Climate-Induced Geopolitical Instability.

Energy Technology Data Exchange (ETDEWEB)

Boslough, Mark B.; Backus, George A.

2005-12-01

We present the initial stages of development of new agent-based computational methods to generate and test hypotheses about linkages between environmental change and international instability. This report summarizes the first year's effort of an originally proposed three-year Laboratory Directed Research and Development (LDRD) project. The preliminary work focused on a set of simple agent-based models and benefited from lessons learned in previous related projects and case studies of human response to climate change and environmental scarcity. Our approach was to define a qualitative model using extremely simple cellular agent models akin to Lovelock's Daisyworld and Schelling's segregation model. Such models do not require significant computing resources, and users can modify behavior rules to gain insights. One of the difficulties in agent-based modeling is finding the right balance between model simplicity and real-world representation. Our approach was to keep agent behaviors as simple as possible during the development stage (described herein) and to ground them with a realistic geospatial Earth system model in subsequent years. This work is directed toward incorporating projected climate data--including various C02 scenarios from the Intergovernmental Panel on Climate Change (IPCC) Third Assessment Report--and ultimately toward coupling a useful agent-based model to a general circulation model.3

Effective strategies for behavior change.

Science.gov (United States)

Coleman, Mary Thoesen; Pasternak, Ryan H

2012-06-01

Strategies that are most effective in both prevention and management of chronic disease consider factors such as age, ethnicity, community, and technology. Most behavioral change strategies derive their components from application of the health belief model, the theory of reasoned action/theory of planned behavior, transtheoretical model, and social cognitive theory. Many tools such as the readiness ruler and personalized action plan form are available to assist health care teams to facilitate healthy behavior change. Primary care providers can support behavior changes by providing venues for peer interventions and family meetings and by making new partnerships with community organizations. Copyright © 2012 Elsevier Inc. All rights reserved.

You Look Human, But Act Like a Machine: Agent Appearance and Behavior Modulate Different Aspects of Human–Robot Interaction

Directory of Open Access Journals (Sweden)

Abdulaziz Abubshait

2017-08-01

Full Text Available Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents like robots, as long as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human–robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human–robot interaction. We examine this question by manipulating agent appearance (human vs. robot and behavior (reliable vs. random within the same paradigm and examine how congruent (human/reliable vs. robot/random versus incongruent (human/random vs. robot/reliable combinations of these triggers affect performance (i.e., gaze following and attitudes (i.e., agent ratings in human–robot interaction. The results show that both appearance and behavior affect human–robot interaction but that the two triggers seem to operate in isolation, with appearance more strongly impacting attitudes, and behavior more strongly affecting performance. The implications of these findings for human–robot interaction are discussed.

You Look Human, But Act Like a Machine: Agent Appearance and Behavior Modulate Different Aspects of Human-Robot Interaction.

Science.gov (United States)

Abubshait, Abdulaziz; Wiese, Eva

2017-01-01

Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents like robots, as long as their appearance and/or behavior allows them to be perceived as intentional beings. Previous studies have shown that human appearance and reliable behavior induce mind perception to robot agents, and positively affect attitudes and performance in human-robot interaction. What has not been investigated so far is whether different triggers of mind perception have an independent or interactive effect on attitudes and performance in human-robot interaction. We examine this question by manipulating agent appearance (human vs. robot) and behavior (reliable vs. random) within the same paradigm and examine how congruent (human/reliable vs. robot/random) versus incongruent (human/random vs. robot/reliable) combinations of these triggers affect performance (i.e., gaze following) and attitudes (i.e., agent ratings) in human-robot interaction. The results show that both appearance and behavior affect human-robot interaction but that the two triggers seem to operate in isolation, with appearance more strongly impacting attitudes, and behavior more strongly affecting performance. The implications of these findings for human-robot interaction are discussed.

Land-use change arising from rural land exchange : an agent-based simulation model

NARCIS (Netherlands)

Bakker, Martha M.; Alam, Shah Jamal; van Dijk, Jerry|info:eu-repo/dai/nl/29612642X; Rounsevell, Mark D. A.

Land exchange can be a major factor driving land-use change in regions with high pressure on land, but is generally not incorporated in land-use change models. Here we present an agent-based model to simulate land-use change arising from land exchange between multiple agent types representing

From change agent to sustainable scaffolding?

DEFF Research Database (Denmark)

Khalid, Md. Saifuddin; Nyvang, Tom

2014-01-01

that the change process in the institution has begun with the action research project, but also that it is probably too early to say for sure if the change is sustainable. With respect to doing action research in rural Bangladesh it is concluded that an action oriented approach is promising. The action research......Educational institutions in rural Bangladesh are faced with multiple problems and barriers when implementing ICT in teaching and learning. The paper reports from an ethnographic action research project set up in rural Bangladesh to induce change in a specific institution and to inform research...... about the barriers to ICT. The authors set out to research how a researcher and change agent by means of a participatory process can construct and distribute knowledge together with local stakeholders so that the local stakeholders ultimately can take charge of a continued development. It is concluded...

Behavior Change without Behavior Change Communication: Nudging Handwashing among Primary School Students in Bangladesh

OpenAIRE

Dreibelbis, Robert; Kroeger, Anne; Hossain, Kamal; Venkatesh, Mohini; Ram, Pavani K.

2016-01-01

Behavior change communication for improving handwashing with soap can be labor and resource intensive, yet quality results are difficult to achieve. Nudges are environmental cues engaging unconscious decision-making processes to prompt behavior change. In this proof-of-concept study, we developed an inexpensive set of nudges to encourage handwashing with soap after toilet use in two primary schools in rural Bangladesh. We completed direct observation of behaviors at baseline, after providing ...

Investigating the influence of social exclusion on persuasion by a virtual agent

NARCIS (Netherlands)

Ruijten, P.A.M.; Ham, J.R.C.; Midden, C.J.H.; Spagnolli, A.; Chittaro, L.; Gamberini, L.

2014-01-01

Persuasive agents may function as a tool to induce changes in human behavior. Research has shown that human-likeness of such agents influences their effectiveness. Besides characteristics of the agent, other characteristics may also have strong influences on persuasive agents’ effectiveness. One

Department Chairs as Change Agents: Leading Change in Resistant Environments

Science.gov (United States)

Gaubatz, Julie A.; Ensminger, David C.

2017-01-01

Change process research often discusses barriers that impede organizational change (e.g., Banta, 1997; Cavacuiti and Locke, 2013; Mutchler, 1990; Stewart et al., 2012); however, no empirical research has addressed how behaviors established in leadership models counteract these barriers. This study explored these two interconnected constructs of…

Promoting Behavioral Change in Psychoanalytic Treatments.

Science.gov (United States)

Busch, Fredric N

2017-01-01

One of the shibboleths of psychoanalysis is that treatment should not target behavioral change, focusing instead on gaining insight and the therapeutic relationship (Freud, 1917; 1923; Gabbard, 2014; Greenson, 1967). Such an approach is believed to be accompanied by disruptions of exploration or problematic distortions of the transference (Freud, 1917; 1923; Gabbard, 2014; Greenson, 1967). However, ignoring behavioral change can put patients at increased risk for stalemates in treatment and persistent problematic behaviors that interfere with improvement and impair relationships. This article suggests that rather than being at odds or disruptive, efforts at behavioral change can be part of the development and employment of a psychodynamic formulation, and can be used to enhance self-understanding and exploration of the transference. Psychoanalytic approaches provide strategies for behavioral change not included in other psychotherapeutic treatments. This article describes a variety of ways in which efforts at behavioral change can be integrated with and enhanced by psychodynamic exploration.

Health behavior change: can genomics improve behavioral adherence?

Science.gov (United States)

McBride, Colleen M; Bryan, Angela D; Bray, Molly S; Swan, Gary E; Green, Eric D

2012-03-01

The National Human Genome Research Institute recommends pursuing "genomic information to improve behavior change interventions" as part of its strategic vision for genomics. The limited effectiveness of current behavior change strategies may be explained, in part, by their insensitivity to individual variation in adherence responses. The first step in evaluating whether genomics can inform customization of behavioral recommendations is evidence reviews to identify adherence macrophenotypes common across behaviors and individuals that have genetic underpinnings. Conceptual models of how biological, psychological, and environmental factors influence adherence also are needed. Researchers could routinely collect biospecimens and standardized adherence measurements of intervention participants to enable understanding of genetic and environmental influences on adherence, to guide intervention customization and prospective comparative effectiveness studies.

Rheological behavior and stability of ciprofloxacin suspension: Impact of structural vehicles and flocculating agent

Directory of Open Access Journals (Sweden)

Eskandar Moghimipour

2013-01-01

Full Text Available Ciprofloxacin is a fluoroquinolone and is used against a broad spectrum of gram-negative and gram-positive bacteria. The aim of the study is to investigate the effect of structural vehicles and other formulating factors on physical stability and rheological behavior of ciprofloxacin suspension. To formulate the suspensions, the effect of glycerin and polysorbate 80 as wetting agents was evaluated. Then to achieve controlled flocculation, different concentrations of sodium chloride and calcium chloride were added. After choosing suitable wetting and flocculating agents, structural vehicles such as sodium carboxyl methyl cellulose (NaCMC, hydroxypropylmethylcellulose (HPMC and Veegum were evaluated. Physical stability parameters such as sedimentation volume, the degree of flocculation and the ease of redispersion of the suspensions and growth of crystals were evaluated. After incorporation of structural vehicles, the rheological properties of formulations containing were also studied to find out their rheological behavior. According to the results, suspension containing glycerin (0.2% w/v and sodium chloride (0.05% w/v as wetting agent and flocculating agent, respectively, were the most stable formulations regarding their F and N. Microscopic observations showed the growth of crystals in ciprofloxacin suspension in formulation without excipients and the minimum amount of crystal growth was seen in suspension containing NaCMC (0.25% w/v, Veegum (0.1% w/v and NaCl (0.05% w/v. Rheological studies showed that almost all of the formulations had psuedoplastic behavior with different degree of thixotropy. The formulation containing NaCMC (0.25% w/v, Veegum (0.1% w/v and NaCl (0.05% w/v was the most stable formulation. It may be concluded that by altering the amount ratios of formulation factors, the best rheological behavior and the most proper thixotropy may be achieved.

Rheological behavior and stability of ciprofloxacin suspension: Impact of structural vehicles and flocculating agent.

Science.gov (United States)

Moghimipour, Eskandar; Rezaee, Saeed; Salimi, Anayatollah; Asadi, Elham; Handali, Somayeh

2013-07-01

Ciprofloxacin is a fluoroquinolone and is used against a broad spectrum of gram-negative and gram-positive bacteria. The aim of the study is to investigate the effect of structural vehicles and other formulating factors on physical stability and rheological behavior of ciprofloxacin suspension. To formulate the suspensions, the effect of glycerin and polysorbate 80 as wetting agents was evaluated. Then to achieve controlled flocculation, different concentrations of sodium chloride and calcium chloride were added. After choosing suitable wetting and flocculating agents, structural vehicles such as sodium carboxyl methyl cellulose (NaCMC), hydroxypropylmethylcellulose (HPMC) and Veegum were evaluated. Physical stability parameters such as sedimentation volume, the degree of flocculation and the ease of redispersion of the suspensions and growth of crystals were evaluated. After incorporation of structural vehicles, the rheological properties of formulations containing were also studied to find out their rheological behavior. According to the results, suspension containing glycerin (0.2% w/v) and sodium chloride (0.05% w/v) as wetting agent and flocculating agent, respectively, were the most stable formulations regarding their F and N. Microscopic observations showed the growth of crystals in ciprofloxacin suspension in formulation without excipients and the minimum amount of crystal growth was seen in suspension containing NaCMC (0.25% w/v), Veegum (0.1% w/v) and NaCl (0.05% w/v). Rheological studies showed that almost all of the formulations had psuedoplastic behavior with different degree of thixotropy. The formulation containing NaCMC (0.25% w/v), Veegum (0.1% w/v) and NaCl (0.05% w/v) was the most stable formulation. It may be concluded that by altering the amount ratios of formulation factors, the best rheological behavior and the most proper thixotropy may be achieved.

Applying behavioral science to behavior change communication: the pathways to change tools.

Science.gov (United States)

Petraglia, Joseph; Galavotti, Christine; Harford, Nicola; Pappas-DeLuca, Katina A; Mooki, Maungo

2007-10-01

Entertainment-education (EE) is a popular vehicle for behavior change communication (BCC) in many areas of public health, especially in the developing world where soap operas and other serial drama formats play a central role in encouraging people to avoid risky behavior. Yet BCC/EE developers have been largely unable to integrate behavioral theory and research systematically into storylines and scripts, depending instead on external, technical oversight of what should be an essentially local, creative process. This article describes how the Modeling and Reinforcement to Combat HIV/AIDS project at the Centers for Disease Control and Prevention has developed a set of tools through which creative writers can exercise greater control over the behavioral content of their stories. The Pathways to Change tools both guide scriptwriters as they write BCC/EE storylines and help project managers monitor BCC/EE products for theoretical fidelity and sensitivity to research.

Agent Programming Languages and Logics in Agent-Based Simulation

DEFF Research Database (Denmark)

Larsen, John

2018-01-01

and social behavior, and work on verification. Agent-based simulation is an approach for simulation that also uses the notion of agents. Although agent programming languages and logics are much less used in agent-based simulation, there are successful examples with agents designed according to the BDI...

Library on Crowd Behavior for Agents Treatment on Videogames

Directory of Open Access Journals (Sweden)

M. Proenza

2013-01-01

Full Text Available Abstract This paper covers the investigation process and further design and implementation of a library on crowd behaviors for videogames. Three methods were studied in order to pick up one of them, resulting to be Steering Behaviors method the one selected to be adopted. The library supports simulations with a large number of moving agents. It also copes with polygonal obstacles avoidance. Additionally, simulations can be adapted to many contexts by tuning some parameters. The library consists of an original design mostly based on Command Pattern that allows it to be easily usable and extendable.   Resumen Este documento cubre el proceso de investigación y el diseño e implementación de una biblioteca en los comportamientos de multitud de videojuegos. Tres métodos fueron estudiados con el fin de recoger a uno de ellos, el resultado es el método de dirección Comportamientos que se ha seleccionado para su adopción. La biblioteca admite simulaciones con un gran número de agentes móviles. También hace frente a la evitación obstáculos poligonales. Además, las simulaciones se pueden adaptar a diferentes contextos mediante la regulación de algunos parámetros. La biblioteca consta de un diseño original basado principalmente en modelo de comandos que permite que sea fácilmente utilizable y extensible.

Change Agents and Collective Experience- Making as Part of ...

African Journals Online (AJOL)

agents can enable and facilitate collective learning about climate change, as well as ... transcend such approaches through the development of longer-term social .... 'acquisition of mediated experiences in the learning rhythm of the immediate ...

Change Agents and Collective Experience-Making as Part of ...

African Journals Online (AJOL)

agents can enable and facilitate collective learning about climate change, as well ... interconnected global problems, meaning that efforts to reduce and adapt to ..... 'acquisition of mediated experiences in the learning rhythm of the immediate ...

Comparing strategies to assess multiple behavior change in behavioral intervention studies.

Science.gov (United States)

Drake, Bettina F; Quintiliani, Lisa M; Sapp, Amy L; Li, Yi; Harley, Amy E; Emmons, Karen M; Sorensen, Glorian

2013-03-01

Alternatives to individual behavior change methods have been proposed, however, little has been done to investigate how these methods compare. To explore four methods that quantify change in multiple risk behaviors targeting four common behaviors. We utilized data from two cluster-randomized, multiple behavior change trials conducted in two settings: small businesses and health centers. Methods used were: (1) summative; (2) z-score; (3) optimal linear combination; and (4) impact score. In the Small Business study, methods 2 and 3 revealed similar outcomes. However, physical activity did not contribute to method 3. In the Health Centers study, similar results were found with each of the methods. Multivitamin intake contributed significantly more to each of the summary measures than other behaviors. Selection of methods to assess multiple behavior change in intervention trials must consider study design, and the targeted population when determining the appropriate method/s to use.

Sensitivity Analysis of a Land-Use Change Model with and without Agents to Assess Land Abandonment and Long-Term Re-Forestation in a Swiss Mountain Region

Directory of Open Access Journals (Sweden)

Julia Maria Brändle

2015-06-01

Full Text Available Land abandonment and the subsequent re-forestation are important drivers behind the loss of ecosystem services in mountain regions. Agent-based models can help to identify global change impacts on farmland abandonment and can test policy and management options to counteract this development. Realigning the representation of human decision making with time scales of ecological processes such as reforestation presents a major challenge in this context. Models either focus on the agent-specific behavior anchored in the current generation of farmers at the expense of representing longer scale environmental processes or they emphasize the simulation of long-term economic and forest developments where representation of human behavior is simplified in time and space. In this context, we compare the representation of individual and aggregated decision-making in the same model structure and by doing so address some implications of choosing short or long term time horizons in land-use modeling. Based on survey data, we integrate dynamic agents into a comparative static economic sector supply model in a Swiss mountain region. The results from an extensive sensitivity analysis show that this agent-based land-use change model can reproduce observed data correctly and that both model versions are sensitive to the same model parameters. In particular, in both models the specification of opportunity costs determines the extent of production activities and land-use changes by restricting the output space. Our results point out that the agent-based model can capture short and medium term developments in land abandonment better than the aggregated version without losing its sensitivity to important socio-economic drivers. For comparative static approaches, extensive sensitivity analysis with respect to opportunity costs, i.e., the measure of benefits forgone due to alternative uses of labor is essential for the assessment of the impact of climate change on land

Agents of Change: Studies on the Policy Environment for Small ...

International Development Research Centre (IDRC) Digital Library (Canada)

Agents of Change presents the results of an international conference held in Africa. It provides practical solutions and suggestions for real change. It discusses national strategies for small enterprises, examines legal, regulatory, and tax reform, and makes proposals on how to improve competitiveness and access to credit.

Agent-based modeling in ecological economics.

Science.gov (United States)

Heckbert, Scott; Baynes, Tim; Reeson, Andrew

2010-01-01

Interconnected social and environmental systems are the domain of ecological economics, and models can be used to explore feedbacks and adaptations inherent in these systems. Agent-based modeling (ABM) represents autonomous entities, each with dynamic behavior and heterogeneous characteristics. Agents interact with each other and their environment, resulting in emergent outcomes at the macroscale that can be used to quantitatively analyze complex systems. ABM is contributing to research questions in ecological economics in the areas of natural resource management and land-use change, urban systems modeling, market dynamics, changes in consumer attitudes, innovation, and diffusion of technology and management practices, commons dilemmas and self-governance, and psychological aspects to human decision making and behavior change. Frontiers for ABM research in ecological economics involve advancing the empirical calibration and validation of models through mixed methods, including surveys, interviews, participatory modeling, and, notably, experimental economics to test specific decision-making hypotheses. Linking ABM with other modeling techniques at the level of emergent properties will further advance efforts to understand dynamics of social-environmental systems.

Explaining the Behavioral Intention towards BI Implementation in Public Administrations - A Principal-Agent Theory Approach

Science.gov (United States)

Becker, Jörg; Bergener, Philipp; Lis, Łukasz; Niehaves, Björn

Business Intelligence (BI) is an established instrument to support public administrations in their management tasks by increasing their information level. BI is of special interest in the context of introducing accrual accounting in public administrations as this affects the information level of different stakeholders, leading to a possible decrease for municipal councils. The principal-agent theory can help to explain different behavioral intentions of the stakeholders concerning the introduction of BI. We employ a single qualitative case study to analyze these behavioral intentions. It shows that the introduction of accrual accounting did decrease the information level of the municipal council making the principal-agent problems possible. Furthermore, it shows that BI might be a solution for this problem. Therefore, council members show the behavioral intention to support the BI implementation while administration staff members rather resist it. Based on these finding, we discuss implications for practice and future research.

Extension Agent Knowledge and Programming Behaviors Regarding Healthy Lifestyles Education in Georgia

Science.gov (United States)

Lynch, Dana R.; Fuhrman, Nicholas E.; Duncan, Dennis W.; Hanula, Gail M.

2015-01-01

Healthy lifestyles education (HLE) is defined as nutrition and physical activity education aimed at controlling or preventing serious health issues. The purpose of the study reported here was to determine knowledge and behaviors of Extension Family and Consumer Sciences (FACS) and 4-H agents concerning HLE. Eighty-five and 86% of FACS and 4-H…

Weight Control: Attitudes of Dieters and Change Agents.

Science.gov (United States)

Parham, Ellen S.; And Others

1991-01-01

Survey explores attitudes toward weight loss/weight control among 2 groups of change agents--40 dietitians and 42 fitness instructors--and among 96 people trying to lose weight. Significant differences were found in terms of importance in weight control of diet, drugs, exercise, religion, and will power; in importance of being of normal weight;…

Departments as Agents of Change

Science.gov (United States)

Lagowski, J. J.

1996-07-01

Higher education is changing because it has no choice. And, for the most part, outside influences are dictating the processes of change. The more fortunate institutions have had a flat budget during this period, but most have been forced to deal with a declining revenue stream as well. Legislators seem bent on micromanaging state-supported institutions, even as they cut their support. Regulators demand greater institutional accountability. Students and their parents expect more service at lower prices and increased flexibility. Technological advances have dramatically affected the availability and accessibility of extant knowledge. It is no longer a question of whether institutions will change, but rather, who will control the change. Most institutions possess long-standing academic traditions, but these are placed at risk in an increasingly competitive market that holds little sympathy for such traditions and may even see them as obstacles or barriers. As a result, the change agents will undoubtedly have a profound effect on the very nature of academic institutions. From the academic point of view, it would seem prudent to attempt to manage the changes that will inevitably occur. A number of concerned observers, notably the Pew Higher Education Roundtable and the American Association for Higher Education, argue persuasively that the academic department is the logical focus for responding to the current winds of change. Using a marketing metaphor, the academic department has been likened to a "producers' cooperative" of services that consumers seek. Thus, the department should be held accountable for the quality of teaching delivered by its members, for the coherence of its major, for its contributions to the general education curriculum, and for supervising and rewarding its individual faculty members. If departments are to be held accountable, it is surely in their best interest to act in such a way that they are accountable. Expecting academic departments to be

ECONOMIC AGENT BEHAVIOR ON REAL ESTATE MARKET

Directory of Open Access Journals (Sweden)

Oana CHINDRIŞ-VĂSIOIU

2014-02-01

Full Text Available Traditional theory of the consumer explains development of demand through changes in prices and income. Consumer tastes and preferences are considered to be constant, stable, therefore does not take account of them in explaining market participants behavior. Indeed, from scientific point of view, can only be explained a behavior by a hypothesis relating to individual tastes or preferences since it would be impossible to subject to such a hypothesis to the test of facts. If your preferences are stable, how we interpret fast transformation of modes of consumption? The increase of income can explain an increase in volume for consumption, but not the changes in its structure. At the limit, relative prices could explain budget allocation between existing goods and services, but not the incessant occurrence of new goods and services, which they come to satisfy what current language means that new needs.

Predicting persuasion-induced behavior change from the brain.

Science.gov (United States)

Falk, Emily B; Berkman, Elliot T; Mann, Traci; Harrison, Brittany; Lieberman, Matthew D

2010-06-23

Although persuasive messages often alter people's self-reported attitudes and intentions to perform behaviors, these self-reports do not necessarily predict behavior change. We demonstrate that neural responses to persuasive messages can predict variability in behavior change in the subsequent week. Specifically, an a priori region of interest (ROI) in medial prefrontal cortex (MPFC) was reliably associated with behavior change (r = 0.49, p change beyond the variance predicted by self-reported attitudes and intentions. Thus, neural signals can predict behavioral changes that are not predicted from self-reported attitudes and intentions alone. Additionally, this is the first functional magnetic resonance imaging study to demonstrate that a neural signal can predict complex real world behavior days in advance.

Consumer behavior changing: methods of evaluation

Directory of Open Access Journals (Sweden)

Elīna Gaile-Sarkane

2013-11-01

Full Text Available The article is devoted to methods of analyses of consumer buying behavior as well as to evaluation of most important factors what influences consumer behavior. This research aims at investigations about the changes in consumer behavior caused by globalization and development of information technologies; it helps to understand the specific factors what should be taken into account in evaluation of consumer behavior. The authors employ well-established quantitative and qualitative methods of research: grouping, analysis, synthesis, expert method, statistic method, etc. Research findings disclosed that there is possibility to introduce new methods for evaluation of changing consumer behavior.

Colagem de vinho branco - Comportamento de vários agentes clarificadores The behavior of different fining agents in white wine clarification

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Odette Zardetto de Toledo

1962-01-01

Full Text Available Foi estudado o comportamento de diversos agentes clarificadores na cologem de vinhos brancos procedentes de variedades de uvas diversas, de três regiões vinícolas diferentes dos Estados de São Paulo e de Minas Gerais. Observou-se que tais agentes comportaram-se de maneira diferente de acôrdo com o vinho a ser clarificado. Para os vinhos brancos testados, verificou-se que a bentonita foi o melhor clarificodor. As observações concordam com resultados obtidos por outros pesquisadores para diferentes vinhos.A laboratory trial was carried out to determine the behavior of different fining agents in samples of white wine obtained from various grape varieties. These tested wines were produced in two regions of the State of São Paulo and one of Minas Gerais. It was observed that these fining agents behaved differently according to the type of wine to be cleared. In our experimental trials bentonita was the best fining agent. These observations agree with those obtoined by others authors in other parts of the world. As a general procedure it is advisable to conduct small-scale fining tests in the laboratory before attempting to clarify the bulk volume of wine in the winery, to determine the efficiency of the fining agent, its effect on the wine, and the quantity necessary to clarify.

Microstructure and electrochemical behavior of cerium conversion coating modified with silane agent on magnesium substrates

Science.gov (United States)

Lei, Li; Shi, Jing; Wang, Xin; Liu, Dan; Xu, Haigang

2016-07-01

The cerium conversion coating with and without different concentrations of silane agent bis-(γ-triethoxysilylpropyl)-tetrasulfide (BTESPT) modification is obtained on magnesium alloys. Detailed properties of the coatings and the role of BTESPT as an additive are studied and followed with careful discussion. The coating morphology, wettability, chemical composition and corrosion resistance are characterized by scanning electronic microscope (SEM), water contact-angle, X-ray photoelectron spectroscopy (XPS), potentiodynamic measurements and electrochemical impedance spectroscopy (EIS). The electrochemical behavior of the coatings is investigated using EIS. The results indicate that the coating morphology and composition can be controlled by changing silane concentration. The combination of cerium ions and silane molecules could promote the formation of more homogenous and higher hydrophobic coating. The coating turns to be more compact and the adhesive strength between the coating and the magnesium substrate are strongly improved with the formation of Sisbnd Osbnd Si and Sisbnd Osbnd M chemical bonds. The optimum corrosion resistance of the coating in the corrosive media is obtained by 25 ml L-1 BTESPT modification. This whole study implies that the cerium conversion coating modified with certain silane agent deserves cautiousness before its application for corrosion resistance.

Some current dimensions of the behavioral economics of health-related behavior change.

Science.gov (United States)

Bickel, Warren K; Moody, Lara; Higgins, Stephen T

2016-11-01

Health-related behaviors such as tobacco, alcohol and other substance use, poor diet and physical inactivity, and risky sexual practices are important targets for research and intervention. Health-related behaviors are especially pertinent targets in the United States, which lags behind most other developed nations on common markers of population health. In this essay we examine the application of behavioral economics, a scientific discipline that represents the intersection of economics and psychology, to the study and promotion of health-related behavior change. More specifically, we review what we consider to be some core dimensions of this discipline when applied to the study health-related behavior change. Behavioral economics (1) provides novel conceptual systems to inform scientific understanding of health behaviors, (2) translates scientific understanding into practical and effective behavior-change interventions, (3) leverages varied aspects of behavior change beyond increases or decreases in frequency, (4) recognizes and exploits trans-disease processes and interventions, and (5) leverages technology in efforts to maximize efficacy, cost effectiveness, and reach. These dimensions are overviewed and their implications for the future of the field discussed. Copyright © 2016 Elsevier Inc. All rights reserved.

Prioritizing multiple health behavior change research topics: expert opinions in behavior change science.

Science.gov (United States)

Amato, Katie; Park, Eunhee; Nigg, Claudio R

2016-06-01

Multiple health behavior change (MHBC) approaches are understudied. The purpose of this study is to provide strategic MHBC research direction. This cross-sectional study contacted participants through the Society of Behavioral Medicine email listservs and rated the importance of 24 MHBC research topics (1 = not at all important, 5 = extremely important) separately for general and underserved populations. Participants (n = 76) were 79 % female; 76 % White, 10 % Asian, 8 % African American, 5 % Hispanic, and 1 % Native Hawaiian/Pacific Islander. Top MHBC research priorities were predictors of behavior change and the sustainability, long-term effects, and dissemination/translation of interventions for both populations. Recruitment and retention of participants (t(68) = 2.17, p = 0.000), multi-behavioral indices (t(68) = 3.54, p = 0.001), and measurement burden (t(67) = 5.04, p = 0.001) were important for the underserved. Results identified the same top research priorities across populations. For the underserved, research should emphasize recruitment, retention, and measurement burden.

The Cost of Performance? Students' Learning about Acting as Change Agents in Their Schools

Science.gov (United States)

Kehoe, Ian

2015-01-01

This paper explores how performance culture could affect students' learning about, and disposition towards, acting as organisational change agents in schools. This is based on findings from an initiative aimed to enable students to experience acting as change agents on an aspect of the school's culture that concerned them. The initiative was…

Phase change events of volatile liquid perfluorocarbon contrast agents produce unique acoustic signatures

International Nuclear Information System (INIS)

Sheeran, Paul S; Dayton, Paul A; Matsunaga, Terry O

2014-01-01

Phase-change contrast agents (PCCAs) provide a dynamic platform to approach problems in medical ultrasound (US). Upon US-mediated activation, the liquid core vaporizes and expands to produce a gas bubble ideal for US imaging and therapy. In this study, we demonstrate through high-speed video microscopy and US interrogation that PCCAs composed of highly volatile perfluorocarbons (PFCs) exhibit unique acoustic behavior that can be detected and differentiated from standard microbubble contrast agents. Experimental results show that when activated with short pulses PCCAs will over-expand and undergo unforced radial oscillation while settling to a final bubble diameter. The size-dependent oscillation phenomenon generates a unique acoustic signal that can be passively detected in both time and frequency domain using confocal piston transducers with an ‘activate high’ (8 MHz, 2 cycles), ‘listen low’ (1 MHz) scheme. Results show that the magnitude of the acoustic ‘signature’ increases as PFC boiling point decreases. By using a band-limited spectral processing technique, the droplet signals can be isolated from controls and used to build experimental relationships between concentration and vaporization pressure. The techniques shown here may be useful for physical studies as well as development of droplet-specific imaging techniques. (paper)

Associations between change in sedentary behavior and outcome in standard behavioral weight loss treatment.

Science.gov (United States)

Kerrigan, Stephanie G; Call, Christine; Schaumberg, Katherine; Forman, Evan; Butryn, Meghan L

2018-03-01

Sedentary behavior, particularly in prolonged periods, is an important determinant of health. Little research exploring changes in sedentary behavior during behavioral weight loss programs exists. This study evaluated the magnitude of changes in total and prolonged sedentary behavior and how these changes related to changes in weight and cardiovascular outcomes during a behavioral weight loss program. Participants (n = 450) in two lifestyle modification programs underwent assessments of sedentary behavior (by accelerometry), weight, waist circumference, blood pressure, and resting heart rate at baseline and after 6 months of treatment. Sedentary behavior was defined as both total and prolonged (≥30 continuous minutes) sedentary minutes/day. Reductions in total and prolonged sedentary time were significant and were accounted for by increases in moderate-to-vigorous physical activity (MVPA). Only changes in MVPA significantly predicted change in weight when entered into a model simultaneously with changes in sedentary behavior. Changes in total and prolonged sedentary time were not associated with changes in waist circumference, heart rate, or blood pressure. Change in sedentary time was not independently associated with change in health outcomes during a behavioral weight loss treatment. High variability in changes in sedentary time indicate that individual differences may be important to examine. Reducing sedentary time may not be powerful enough to impact these health outcomes above the effects of other changes made during these programs; alternatively, it may be that increasing focus in treatment on reducing sedentary time may engender greater decreases in sedentariness, which could lead to better health outcomes.

Automated indexing of Internet stories for health behavior change: weight loss attitude pilot study.

Science.gov (United States)

Manuvinakurike, Ramesh; Velicer, Wayne F; Bickmore, Timothy W

2014-12-09

Automated health behavior change interventions show promise, but suffer from high attrition and disuse. The Internet abounds with thousands of personal narrative accounts of health behavior change that could not only provide useful information and motivation for others who are also trying to change, but an endless source of novel, entertaining stories that may keep participants more engaged than messages authored by interventionists. Given a collection of relevant personal health behavior change stories gathered from the Internet, the aim of this study was to develop and evaluate an automated indexing algorithm that could select the best possible story to provide to a user to have the greatest possible impact on their attitudes toward changing a targeted health behavior, in this case weight loss. An indexing algorithm was developed using features informed by theories from behavioral medicine together with text classification and machine learning techniques. The algorithm was trained using a crowdsourced dataset, then evaluated in a 2×2 between-subjects randomized pilot study. One factor compared the effects of participants reading 2 indexed stories vs 2 randomly selected stories, whereas the second factor compared the medium used to tell the stories: text or animated conversational agent. Outcome measures included changes in self-efficacy and decisional balance for weight loss before and after the stories were read. Participants were recruited from a crowdsourcing website (N=103; 53.4%, 55/103 female; mean age 35, SD 10.8 years; 65.0%, 67/103 precontemplation; 19.4%, 20/103 contemplation for weight loss). Participants who read indexed stories exhibited a significantly greater increase in self-efficacy for weight loss compared to the control group (F1,107=5.5, P=.02). There were no significant effects of indexing on change in decisional balance (F1,97=0.05, P=.83) and no significant effects of medium on change in self-efficacy (F1,107=0.04, P=.84) or decisional

Influence of flocculating agents and structural vehicles on the physical stability and rheological behavior of nitrofurantoin suspension.

Science.gov (United States)

Moghimipour, Eskandar; Salimi, Anayatollah; Rezaee, Saeed; Balack, Maryam; Handali, Somayeh

2014-05-01

Nitrofurantoin is a nitrofuran antibiotic that has been used for treatment of urinary tract against positive and negative bacteria. The aim of this study was to evaluate the effect of structural vehicles and flocculating agents on physical stability and rheological behavior of nitrofurantoin suspension. To formulate the suspensions, the effect of glycerin and polysorbate 80 as wetting agents was evaluated and their particle sizes were determined using the sieve method. Then to achieve controlled flocculation, sodium citrate and aluminum chloride were added. After choosing the suitable wetting and flocculating agents, structural vehicles such as sodium carboxyl methyl cellulose and Veegum were evaluated individually and in combination. In addition, the effect of sorbitol on density of continuous phase and some physical stability parameters such as sedimentation volume, degree of flocculation and ease of redispersion of the suspensions were evaluated. After incorporation of structural vehicles, the rheological properties of formulations were also determined to find their flow behavior. According to the results, glycerin (0.2%) and sodium citrate (0.3%) had the best effect on the suspension stability as wetting and flocculating agents, respectively. Rheological properties of formulations showed pseudoplastic behavior with some degree of thixotropy. In conclusion, the suspension containing Veegum 1%, sodium carboxy methyl cellulose 1%, glycerine 0.2%, sodium citrate 0.3% and sorbitol 20 % was chosen as the most physically stable formulation.

Predicting Persuasion-Induced Behavior Change from the Brain

Science.gov (United States)

Falk, Emily B.; Berkman, Elliot T.; Mann, Traci; Harrison, Brittany; Lieberman, Matthew D.

2011-01-01

Although persuasive messages often alter people’s self-reported attitudes and intentions to perform behaviors, these self-reports do not necessarily predict behavior change. We demonstrate that neural responses to persuasive messages can predict variability in behavior change in the subsequent week. Specifically, an a priori region of interest (ROI) in medial prefrontal cortex (MPFC) was reliably associated with behavior change (r = 0.49, p < 0.05). Additionally, an iterative cross-validation approach using activity in this MPFC ROI predicted an average 23% of the variance in behavior change beyond the variance predicted by self-reported attitudes and intentions. Thus, neural signals can predict behavioral changes that are not predicted from self-reported attitudes and intentions alone. Additionally, this is the first functional magnetic resonance imaging study to demonstrate that a neural signal can predict complex real world behavior days in advance. PMID:20573889

Intelligent judgements over health risks in a spatial agent-based model.

Science.gov (United States)

Abdulkareem, Shaheen A; Augustijn, Ellen-Wien; Mustafa, Yaseen T; Filatova, Tatiana

2018-03-20

Millions of people worldwide are exposed to deadly infectious diseases on a regular basis. Breaking news of the Zika outbreak for instance, made it to the main media titles internationally. Perceiving disease risks motivate people to adapt their behavior toward a safer and more protective lifestyle. Computational science is instrumental in exploring patterns of disease spread emerging from many individual decisions and interactions among agents and their environment by means of agent-based models. Yet, current disease models rarely consider simulating dynamics in risk perception and its impact on the adaptive protective behavior. Social sciences offer insights into individual risk perception and corresponding protective actions, while machine learning provides algorithms and methods to capture these learning processes. This article presents an innovative approach to extend agent-based disease models by capturing behavioral aspects of decision-making in a risky context using machine learning techniques. We illustrate it with a case of cholera in Kumasi, Ghana, accounting for spatial and social risk factors that affect intelligent behavior and corresponding disease incidents. The results of computational experiments comparing intelligent with zero-intelligent representations of agents in a spatial disease agent-based model are discussed. We present a spatial disease agent-based model (ABM) with agents' behavior grounded in Protection Motivation Theory. Spatial and temporal patterns of disease diffusion among zero-intelligent agents are compared to those produced by a population of intelligent agents. Two Bayesian Networks (BNs) designed and coded using R and are further integrated with the NetLogo-based Cholera ABM. The first is a one-tier BN1 (only risk perception), the second is a two-tier BN2 (risk and coping behavior). We run three experiments (zero-intelligent agents, BN1 intelligence and BN2 intelligence) and report the results per experiment in terms of

Psychological Barriers to Behavior Change: How to indentify the barriers that inhibit change

OpenAIRE

Olson, James M.

1992-01-01

Adopting a healthy lifestyle often requires changing patterns of behavior. This article describes three categories of psychological barriers to behavior change: those that prevent the admission of a problem, those that interfere with initial attempts to change behavior, and those that make long-term change difficult. Strategies are identified that family physicians can use to overcome the barriers.

Perceived Behavioral Changes in Early Multiple Sclerosis

Directory of Open Access Journals (Sweden)

Fabiana Souza Lima

2007-01-01

Full Text Available Acquired behavioral changes have essentially been described in advanced multiple sclerosis (MS. The present study was designed to determine whether behavioral modifications specifically related to the MS pathological process could be identified in the initial phase of the disease, as compared to control patients with chronic, relapsing and progressive inflammatory disorders not involving the central nervous system (CNS. Eighty-eight early MS patients (Expanded Disability Status Scale score ≤ 2.5 and 48 controls were tested. Perceived changes by informants in behavioral control, goal-directed behavior, decision making, emotional expression, insight and interpersonal relationships were assessed using the Iowa Scale of Personality Change (ISPC. Executive behavioral disturbances were screened using the Dysexecutive Questionnaire (DEX. The mean change between the premorbid and postmorbid ISPC ratings was similar in the MS [12.2 (SD 15.6] and in the control [11.5 (SD 15.1] group. The perceived behavioral changes (PBCs most frequently reported in both groups were lack of stamina, lability/moodiness, anxiety, vulnerability to stress and irritability. Pathological scores in the DEX were also similar in both groups. Correlations between PBCs and DEX scores were different in MS and control groups. MS patients with cognitive impairment had a marginally higher number of PBCs than control patients (p = 0.056 and a significantly higher DEXp score (p = 0.04. These results suggest that (1 PBCs occurring in early MS patients were not different from those induced by comparable chronic non-CNS disorders, (2 qualitative differences in the relationship between behavioral symptoms and executive-behavioral changes may exist between MS and control groups, and (3 behavioral symptoms seem associated with cognitive deficits in MS. We further plan to assess these observations longitudinally.

Modeling electric bicycle's lane-changing and retrograde behaviors

Science.gov (United States)

Tang, Tie-Qiao; Luo, Xiao-Feng; Zhang, Jian; Chen, Liang

2018-01-01

Recently, electric bicycle (EB) has been one important traffic tool due to its own merits. However, EB's motion behaviors (especially at a signalized/non-signalized intersection) are more complex than those of vehicle since it always has lane-changing and retrograde behaviors. In this paper, we propose a model to explore EB's lane-changing and retrograde behaviors on a road with a signalized intersection. The numerical results indicate that the proposed model can qualitatively describe each EB's lane-changing and retrograde behaviors near a signalized intersection, and that lane-changing and retrograde behaviors have prominent impacts on the signalized intersection (i.e., prominent jams and congestions occur). The above results show that EB should be controlled as a vehicle, i.e., lane-changing and retrograde behaviors at a signalized intersection should strictly be prohibited to improve the operational efficiency and traffic safety at the signalized intersection.

Identifying Opinion Leaders to Promote Behavior Change

Science.gov (United States)

Valente, Thomas W.; Pumpuang, Patchareeya

2007-01-01

This article reviews 10 techniques used to identify opinion leaders to promote behavior change. Opinion leaders can act as gatekeepers for interventions, help change social norms, and accelerate behavior change. Few studies document the manner in which opinion leaders are identified, recruited, and trained to promote health. The authors categorize…

No meaningful association between suicidal behavior and the use of IL-17A-neutralizing or IL-17RA-blocking agents.

Science.gov (United States)

Chiricozzi, Andrea; Romanelli, Marco; Saraceno, Rosita; Torres, Tiago

2016-12-01

An emerging class of agents blocking IL-17 signaling represents a very promising therapeutic approach. One of these agents, brodalumab, has been associated with an increased risk of suicide behavior. Areas covered: This review sought to provide an overview strictly focused on suicide behavior signals related to the use of IL-17 agents. Data collection regarding this peculiar safety aspect was primarily based on: (i) a revision of safety outcomes belonging to phase II and phase III trials; (ii) a systematic search using the Pubmed Medline database; and (iii) collecting recent data issued as posters or communications in eminent international meetings. Expert opinion: Whilst secukinumab and ixekizumab were not associated with increased signal of suicidal behavior, being recently approved for the treatment of psoriasis by EMA and FDA, brodalumab raised concern because of suicide behavior cases that led to pause momentarily its development program during pre-marketing stage before obtaining the positive recommendation by an FDA advisory panel for its approval. Indeed, a careful re-evaluation of brodalumab safety profile is being performed and no evidence clarified a significant association or a pathogenic mechanism linking brodalumab treatment to the risk of suicidal behavior, suggesting that cases of suicidal behavior accidentally occurred during brodalumab trials.

Linking Cognitive and Social Aspects of Sound Change Using Agent-Based Modeling.

Science.gov (United States)

Harrington, Jonathan; Kleber, Felicitas; Reubold, Ulrich; Schiel, Florian; Stevens, Mary

2018-03-26

The paper defines the core components of an interactive-phonetic (IP) sound change model. The starting point for the IP-model is that a phonological category is often skewed phonetically in a certain direction by the production and perception of speech. A prediction of the model is that sound change is likely to come about as a result of perceiving phonetic variants in the direction of the skew and at the probabilistic edge of the listener's phonological category. The results of agent-based computational simulations applied to the sound change in progress, /u/-fronting in Standard Southern British, were consistent with this hypothesis. The model was extended to sound changes involving splits and mergers by using the interaction between the agents to drive the phonological reclassification of perceived speech signals. The simulations showed no evidence of any acoustic change when this extended model was applied to Australian English data in which /s/ has been shown to retract due to coarticulation in /str/ clusters. Some agents nevertheless varied in their phonological categorizations during interaction between /str/ and /ʃtr/: This vacillation may represent the potential for sound change to occur. The general conclusion is that many types of sound change are the outcome of how phonetic distributions are oriented with respect to each other, their association to phonological classes, and how these types of information vary between speakers that happen to interact with each other. Copyright © 2018 The Authors. Topics in Cognitive Science published by Wiley Periodicals, Inc. on behalf of Cognitive Science Society.

A Parameter-based Model for Generating Culturally Adaptive Nonverbal Behaviors in Embodied Conversational Agents

DEFF Research Database (Denmark)

Lipi, Afia Akhter; Nakano, Yukiko; Rehm, Matthias

2009-01-01

The goal of this paper is to integrate culture as a computational term in embodied conversational agents by employing an empirical data-driven approach as well as a theoretical model-driven approach. We propose a parameter-based model that predicts nonverbal expressions appropriate for specific...... cultures. First, we introduce the Hofstede theory to describe socio-cultural characteristics of each country. Then, based on the previous studies in cultural differences of nonverbal behaviors, we propose expressive parameters to characterize nonverbal behaviors. Finally, by integrating socio-cultural...

[Health behavior change: motivational interviewing].

Science.gov (United States)

Pócs, Dávid; Hamvai, Csaba; Kelemen, Oguz

2017-08-01

Public health data show that early mortality in Hungary could be prevented by smoking cessation, reduced alcohol consumption, regular exercise, healthy diet and increased adherence. Doctor-patient encounters often highlight these aspects of health behavior. There is evidence that health behavior change is driven by internal motivation rather than external influence. This finding has led to the concept of motivational interview, which is a person-centered, goal-oriented approach to counselling. The doctor asks targeted questions to elicit the patient's motivations, strengths, internal resources, and to focus the interview around these. The quality and quantity of the patient's change talk is related to better outcomes. In addition, the interview allows the patient to express ambivalent feelings and doubts about the change. The doctor should use various communication strategies to resolve this ambivalence. Furthermore, establishing a good doctor-patient relationship is the cornerstone of the motivational interview. An optimal relationship can evoke change talk and reduce the patient's resistance, which can also result in a better outcome. The goal of the motivational interview is to focus on the 'why' to change health behavior rather than the 'how', and to utilize internal motivation instead of persuasion. This is the reason why motivational interview has become a widely-accepted evidence based approach. Orv Hetil. 2017; 158(34): 1331-1337.

Children as agents of change in combatting antibiotic resistance.

Science.gov (United States)

Molnar, Andreea

2017-01-01

Antibiotic resistance is a worldwide problem and changes are needed in the way antibiotics are used. The value of engaging children as key contributors in health care campaigns to increase the appropriate use of antibiotics has not been fully recognized. Little is known about how to design educational materials for children in order to enable them to be agents of change in their communities. Science education needs to improve the way it engages children so as to give them the tools needed to make responsible decisions on antibiotic use.

Influencing behavioral change by customer engagement amongst youth

Directory of Open Access Journals (Sweden)

Singh S

2011-12-01

Full Text Available Sonal SinghMarketing and Management Department, Macquarie University, Sydney, New South Wales, AustraliaAbstract: It is widely accepted that many social and health problems have underlying behavioral causes. Because these problems are rooted in human behavior, solutions to deal with them also lie in human behavior. This paper examines ways of integrating customer engagement in social programs to influence and initiate behavior change effectively with a special focus on youth. This work followed a theoretical deduction by use of a literature review. Social marketing places emphasis on behavior change, and one of the key challenges for social marketers is to ensure a perceived value for customers in taking up and maintaining positive behavior. If perceptions, beliefs, attitudes, and values influence behavior, then the central focus should be on the youth. Integrating youth is a prerequisite for effective social marketing programs and ultimately behavioral change. This approach will pave the way for effective brand positioning and brand loyalty in social marketing which has been lacking and requires more attention from researchers and policymakers. This paper outlines theoretical developments in social marketing that will increase the effectiveness of social marketing programs overall. Existing social marketing literature typically focuses on social marketing interventions and behavioral change. This paper uses customer engagement within a social marketing context so that social marketing programs are perceived as brands to which youth can relate.Keywords: social marketing, customer engagement, behavioral influence, change, youth

Trends in prescribing behavior of systemic agents used in the treatment of acne among dermatologists and nondermatologists: A retrospective analysis, 2004-2013.

Science.gov (United States)

Barbieri, John S; James, William D; Margolis, David J

2017-09-01

Despite recommendations to limit the use of oral antibiotics and increasing support for hormonal agents in the treatment of acne, it is unclear whether there have been any significant changes in practice patterns. To characterize changes in prescribing behavior for systemic agents in the treatment of acne in the United States between 2004 and 2013. We conducted a retrospective analysis using the OptumInsight Clinformatics DataMart (Optum, Eden Prairie, MN). The number of courses of spironolactone prescribed per 100 female patients being managed for acne by dermatologists and nondermatologists increased from 2.08 to 8.13 and from 1.43 to 4.09, respectively. The median duration of therapy with oral antibiotics was 126 and 129 days among patients managed by dermatologists and nondermatologists, respectively, and did not change significantly over the study period. The OptumInsight Clinformatics DataMart lacks information on acne severity and clinical outcomes. Additional work to identify patients who would benefit most from alternative therapies such as spironolactone, oral contraceptives, or isotretinoin represents a potential opportunity to improve the care of patients with acne. Copyright © 2017 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.

Plug Load Behavioral Change Demonstration Project

Energy Technology Data Exchange (ETDEWEB)

Metzger, I.; Kandt, A.; VanGeet, O.

2011-08-01

This report documents the methods and results of a plug load study of the Environmental Protection Agency's Region 8 Headquarters in Denver, Colorado, conducted by the National Renewable Energy Laboratory. The study quantified the effect of mechanical and behavioral change approaches on plug load energy reduction and identified effective ways to reduce plug load energy. Load reduction approaches included automated energy management systems and behavioral change strategies.

Behavior Change without Behavior Change Communication: Nudging Handwashing among Primary School Students in Bangladesh

Science.gov (United States)

Dreibelbis, Robert; Kroeger, Anne; Hossain, Kamal; Venkatesh, Mohini; Ram, Pavani K.

2016-01-01

Behavior change communication for improving handwashing with soap can be labor and resource intensive, yet quality results are difficult to achieve. Nudges are environmental cues engaging unconscious decision-making processes to prompt behavior change. In this proof-of-concept study, we developed an inexpensive set of nudges to encourage handwashing with soap after toilet use in two primary schools in rural Bangladesh. We completed direct observation of behaviors at baseline, after providing traditional handwashing infrastructure, and at multiple time periods following targeted handwashing nudges (1 day, 2 weeks, and 6 weeks). No additional handwashing education or motivational messages were completed. Handwashing with soap among school children was low at baseline (4%), increasing to 68% the day after nudges were completed and 74% at both 2 weeks and 6 weeks post intervention. Results indicate that nudge-based interventions have the potential to improve handwashing with soap among school-aged children in Bangladesh and specific areas of further inquiry are discussed. PMID:26784210

Behavior Change without Behavior Change Communication: Nudging Handwashing among Primary School Students in Bangladesh

Directory of Open Access Journals (Sweden)

Robert Dreibelbis

2016-01-01

Full Text Available Behavior change communication for improving handwashing with soap can be labor and resource intensive, yet quality results are difficult to achieve. Nudges are environmental cues engaging unconscious decision-making processes to prompt behavior change. In this proof-of-concept study, we developed an inexpensive set of nudges to encourage handwashing with soap after toilet use in two primary schools in rural Bangladesh. We completed direct observation of behaviors at baseline, after providing traditional handwashing infrastructure, and at multiple time periods following targeted handwashing nudges (1 day, 2 weeks, and 6 weeks. No additional handwashing education or motivational messages were completed. Handwashing with soap among school children was low at baseline (4%, increasing to 68% the day after nudges were completed and 74% at both 2 weeks and 6 weeks post intervention. Results indicate that nudge-based interventions have the potential to improve handwashing with soap among school-aged children in Bangladesh and specific areas of further inquiry are discussed.

Behavior Change without Behavior Change Communication: Nudging Handwashing among Primary School Students in Bangladesh.

Science.gov (United States)

Dreibelbis, Robert; Kroeger, Anne; Hossain, Kamal; Venkatesh, Mohini; Ram, Pavani K

2016-01-14

Behavior change communication for improving handwashing with soap can be labor and resource intensive, yet quality results are difficult to achieve. Nudges are environmental cues engaging unconscious decision-making processes to prompt behavior change. In this proof-of-concept study, we developed an inexpensive set of nudges to encourage handwashing with soap after toilet use in two primary schools in rural Bangladesh. We completed direct observation of behaviors at baseline, after providing traditional handwashing infrastructure, and at multiple time periods following targeted handwashing nudges (1 day, 2 weeks, and 6 weeks). No additional handwashing education or motivational messages were completed. Handwashing with soap among school children was low at baseline (4%), increasing to 68% the day after nudges were completed and 74% at both 2 weeks and 6 weeks post intervention. Results indicate that nudge-based interventions have the potential to improve handwashing with soap among school-aged children in Bangladesh and specific areas of further inquiry are discussed.

Self-guided Change: The most common form of long-term, maintained health behavior change

Science.gov (United States)

Bishop, F Michler

2018-01-01

Millions of people change risky, health-related behaviors and maintain those changes. However, they often take years to change, and their unhealthy behaviors may harm themselves and others and constitute a significant cost to society. A review—similar in nature to a scoping review—was done of the literature related to long-term health behavior change in six areas: alcohol, cocaine and heroin misuse, gambling, smoking, and overeating. Based on the limited research available, reasons for change and strategies for changing and for maintaining change were also reviewed. Fifty years of research clearly indicate that as people age, in the case of alcohol, heroin and cocaine misuse, smoking, and gambling, 80–90 percent moderate or stop their unhealthy behaviors. The one exception is overeating; only 20 percent maintain their weight loss. Most of these changes, when they occur, appear to be the result of self-guided change. More ways to accelerate self-guided, health-related behavior change need to be developed and disseminated. PMID:29375888

Influencing behavioral change by customer engagement amongst youth

Science.gov (United States)

Singh, Sonal

2011-01-01

It is widely accepted that many social and health problems have underlying behavioral causes. Because these problems are rooted in human behavior, solutions to deal with them also lie in human behavior. This paper examines ways of integrating customer engagement in social programs to influence and initiate behavior change effectively with a special focus on youth. This work followed a theoretical deduction by use of a literature review. Social marketing places emphasis on behavior change, and one of the key challenges for social marketers is to ensure a perceived value for customers in taking up and maintaining positive behavior. If perceptions, beliefs, attitudes, and values influence behavior, then the central focus should be on the youth. Integrating youth is a prerequisite for effective social marketing programs and ultimately behavioral change. This approach will pave the way for effective brand positioning and brand loyalty in social marketing which has been lacking and requires more attention from researchers and policymakers. This paper outlines theoretical developments in social marketing that will increase the effectiveness of social marketing programs overall. Existing social marketing literature typically focuses on social marketing interventions and behavioral change. This paper uses customer engagement within a social marketing context so that social marketing programs are perceived as brands to which youth can relate. PMID:24600281

Influencing behavioral change by customer engagement amongst youth.

Science.gov (United States)

Singh, Sonal

2011-01-01

It is widely accepted that many social and health problems have underlying behavioral causes. Because these problems are rooted in human behavior, solutions to deal with them also lie in human behavior. This paper examines ways of integrating customer engagement in social programs to influence and initiate behavior change effectively with a special focus on youth. This work followed a theoretical deduction by use of a literature review. Social marketing places emphasis on behavior change, and one of the key challenges for social marketers is to ensure a perceived value for customers in taking up and maintaining positive behavior. If perceptions, beliefs, attitudes, and values influence behavior, then the central focus should be on the youth. Integrating youth is a prerequisite for effective social marketing programs and ultimately behavioral change. This approach will pave the way for effective brand positioning and brand loyalty in social marketing which has been lacking and requires more attention from researchers and policymakers. This paper outlines theoretical developments in social marketing that will increase the effectiveness of social marketing programs overall. Existing social marketing literature typically focuses on social marketing interventions and behavioral change. This paper uses customer engagement within a social marketing context so that social marketing programs are perceived as brands to which youth can relate.

Does Animal Behavior Underlie Covariation Between Hosts' Exposure to Infectious Agents and Susceptibility to Infection? Implications for Disease Dynamics

NARCIS (Netherlands)

Hawley, Dana M.; Etienne, Rampal S.; Ezenwa, Vanessa O.; Jolles, Anna E.

2011-01-01

Animal behavior is unique in influencing both components of the process of transmission of disease: exposure to infectious agents, and susceptibility to infection once exposed. To date, the influence of behavior on exposure versus susceptibility has largely been considered separately. Here, we ask

Preventing skin cancer through behavior change. Implications for interventions.

Science.gov (United States)

Rossi, J S; Blais, L M; Redding, C A; Weinstock, M A

1995-07-01

Sun exposure is the only major causative factor for skin cancer for which prevention is feasible. Both individual and community-based interventions have been effective in changing sun exposure knowledge and attitudes but generally have not been effective in changing behaviors. An integrative model of behavior change is described that has been successful in changing behavior across a wide range of health conditions. This model holds promise for developing a rational public health approach to skin cancer prevention based on sound behavioral science.

Selecting effective persuasive strategies in behavior change support systems: Third International Workshop on Behavior Change Support Systems (BCSS 2015)

NARCIS (Netherlands)

Kelders, Saskia Marion; Kulyk, Olga Anatoliyivna; van Gemert-Pijnen, Julia E.W.C.; Oinas-Kukkonen, Harri; Kelders, Saskia; Kulyk, Olga; van Gemert-Pijnen, Lisette; Oinas-Kukkonen, Harri

2015-01-01

The Third International Workshop on Behavior Change Support Systems provides a place to discuss recent advances in BCSS research. The selected papers show that research into behavior change support systems is expanding: not only by trying to reach more and other people, but also by expanding the

Using goal setting as a strategy for dietary behavior change.

Science.gov (United States)

Cullen, K W; Baranowski, T; Smith, S P

2001-05-01

Recent reviews have noted that behavioral theory-based nutrition education programs are more successful at achieving food behavior change than knowledge-based programs and that a clear understanding of the mechanisms of behavior change procedures enable dietetics professionals to more effectively promote change. Successful dietary behavior change programs target 1 or more of the personal, behavioral, or environmental factors that influence the behavior of interest and apply theory-based strategies to influence or change those factors. Goal setting is a strategy that is frequently used to help people change. A 4-step goal-setting process has been identified: recognizing a need for change; establishing a goal; adopting a goal-directed activity and self-monitoring it; and self-rewarding goal attainment. The applications of goal setting in dietary interventions for adults and children are reviewed here. Because interventions using goal setting appear to promote dietary change, dietitians should consider incorporating the goal-setting strategies to enhance the behavior change process in nutrition education programs.

The Beliefs-Behavior Connection: Leading Teachers Toward Change. The Key to Changing Teachers' Behavior is to Change their Basic Beliefs

Science.gov (United States)

Hunzicker, Jana

2004-01-01

The author examines some of the reasons why teachers resist change and cites three main factors: lack of motivation; low levels of knowledge, experience, and comfort; and poor moral and ego development. She offers research-based suggestions for changing teacher behaviors through staff development focused on changing their beliefs over time.

Behavioral Tolerance to Anticholinergic Agents

Science.gov (United States)

1986-11-20

Medicine , 47, 137-141. 7. Kurtz, P.J. (1977) Behavioral and biochemical effects of the carbamate insecticide, mobam. Pharmacology Biochemistry & Behavior...tolerance to marihuana in rats. Pharmacology Biochemistry and Behavior, 1, 73-76. 43 40. Olson, J. and Carder, B. (1974) Behavioral tolerance to... marihuana as a function of amount of prior training. Pharmacology Biochemistry and Behavior, 2, 243-247. 41. Sidman, M. (1960) Tactics of Scientific

An agent-based approach equipped with game theory. Strategic collaboration among learning agents during a dynamic market change in the California electricity crisis

Energy Technology Data Exchange (ETDEWEB)

Sueyoshi, Toshiyuki [Department of Management, New Mexico Institute of Mining and Technology, Socorro, NM 87801 (United States); Department of Industrial and Information Management, National Cheng Kung University, Tainan (China)

2010-09-15

An agent-based approach is a numerical (computer-intensive) method to explore the complex characteristics and dynamics of microeconomics. Using the agent-based approach, this study investigates the learning speed of traders and their strategic collaboration in a dynamic market change of electricity. An example of such a market change can be found in the California electricity crisis (2000-2001). This study incorporates the concept of partial reinforcement learning into trading agents and finds that they have two learning components: learning from a dynamic market change and learning from collaboration with other traders. The learning speed of traders becomes slow when a large fluctuation occurs in the power exchange market. The learning speed depends upon the type of traders, their learning capabilities and the fluctuation of market fundamentals. The degree of collaboration among traders gradually reduces during the electricity crisis. The strategic collaboration among traders is examined by a large simulator equipped with multiple learning capabilities. (author)

An agent-based approach equipped with game theory. Strategic collaboration among learning agents during a dynamic market change in the California electricity crisis

International Nuclear Information System (INIS)

Sueyoshi, Toshiyuki

2010-01-01

An agent-based approach is a numerical (computer-intensive) method to explore the complex characteristics and dynamics of microeconomics. Using the agent-based approach, this study investigates the learning speed of traders and their strategic collaboration in a dynamic market change of electricity. An example of such a market change can be found in the California electricity crisis (2000-2001). This study incorporates the concept of partial reinforcement learning into trading agents and finds that they have two learning components: learning from a dynamic market change and learning from collaboration with other traders. The learning speed of traders becomes slow when a large fluctuation occurs in the power exchange market. The learning speed depends upon the type of traders, their learning capabilities and the fluctuation of market fundamentals. The degree of collaboration among traders gradually reduces during the electricity crisis. The strategic collaboration among traders is examined by a large simulator equipped with multiple learning capabilities. (author)

You Look Human, But Act Like a Machine: Agent Appearance and Behavior Modulate Different Aspects of Human–Robot Interaction

OpenAIRE

Abubshait, Abdulaziz; Wiese, Eva

2017-01-01

Gaze following occurs automatically in social interactions, but the degree to which gaze is followed depends on whether an agent is perceived to have a mind, making its behavior socially more relevant for the interaction. Mind perception also modulates the attitudes we have toward others, and determines the degree of empathy, prosociality, and morality invested in social interactions. Seeing mind in others is not exclusive to human agents, but mind can also be ascribed to non-human agents lik...

The Role of Conversation Policy in Carrying Out Agent Conversations

International Nuclear Information System (INIS)

Link, Hamilton E.; Phillips, Laurence R.

1999-01-01

Structured conversation diagrams, or conversation specifications, allow agents to have predictable interactions and achieve predefined information-based goals, but they lack the flexibility needed to function robustly in an unpredictable environment. We propose a mechanism that combines a typical conversation structure with a separately established policy to generate an actual conversation. The word ''policy'' connotes a high-level direction external to a specific planned interaction with the environment. Policies, which describe acceptable procedures and influence decisions, can be applied to broad sets of activity. Based on their observation of issues related to a policy, agents may dynamically adjust their communication patterns. The policy object describes limitations, constraints, and requirements that may affect the conversation in certain circumstances. Using this new mechanism of interaction simplifies the description of individual conversations and allows domain-specific issues to be brought to bear more easily during agent communication. By following the behavior of the conversation specification when possible and deferring to the policy to derive behavior in exceptional circumstances, an agent is able to function predictably under normal situations and still act rationally in abnormal situations. Different conversation policies applied to a given conversation specification can change the nature of the interaction without changing the specification

Changing health behaviors with social marketing.

Science.gov (United States)

Suarez-Almazor, M E

2011-08-01

Social marketing uses marketing techniques to promote healthy attitudes and behaviors. As in traditional marketing, the development and implementation of social marketing programs is based on the four P's: product, price, place, and promotion, but it also incorporates the partnership and participation of stakeholders to enhance public health and engage policy makers. The "product" in social marketing is generally a behavior, such as a change in lifestyle (e.g., diet) or an increase in a desired health practice (e.g., screening). In order for people to desire this product, it must offer a solution to a problem that is weighed with respect to the price to pay. The price is not just monetary, and it often involves giving something up, such as time (e.g., exercising) or a wanted, satisfying behavior (e.g., smoking). In its development phase, social marketing incorporates qualitative methods to create messages that are powerful and potentially effective. The implementation of the programs commonly involves mass campaigns with advertisement in various media. There have been a few social media campaigns targeting bone health that have been disseminated with substantial outreach. However, these have not been systematically evaluated, specifically with respect to change in behavior and health outcomes. Future campaigns should identify target behaviors that are amenable to change such as bone mass measurement screening or exercise. Audience segmentation will be crucial, since a message for young women to increase peak bone mass would be very different from a message for older individuals who have just experienced a fracture. Campaigns should involve key stakeholders, including policy makers, health providers, and the public. Finally, success must be carefully evaluated, not just by the outreach of the campaign, but also by a change in relevant behaviors and a decrease in deleterious health outcomes.

Behavior Management and Behavioral Change: How Can We Tell Them Apart?

Science.gov (United States)

Olive, Edna

2010-01-01

Understanding the differences between behavior management and behavior change helps adults identify the differences between the two and teaches them what they can do to be effective in the use of both. This article introduces Positive Behavior Facilitation (PBF) Tool #3 which aims to support adults in understanding the differences between behavior…

A CSP-Based Agent Modeling Framework for the Cougaar Agent-Based Architecture

Science.gov (United States)

Gracanin, Denis; Singh, H. Lally; Eltoweissy, Mohamed; Hinchey, Michael G.; Bohner, Shawn A.

2005-01-01

Cognitive Agent Architecture (Cougaar) is a Java-based architecture for large-scale distributed agent-based applications. A Cougaar agent is an autonomous software entity with behaviors that represent a real-world entity (e.g., a business process). A Cougaar-based Model Driven Architecture approach, currently under development, uses a description of system's functionality (requirements) to automatically implement the system in Cougaar. The Communicating Sequential Processes (CSP) formalism is used for the formal validation of the generated system. Two main agent components, a blackboard and a plugin, are modeled as CSP processes. A set of channels represents communications between the blackboard and individual plugins. The blackboard is represented as a CSP process that communicates with every agent in the collection. The developed CSP-based Cougaar modeling framework provides a starting point for a more complete formal verification of the automatically generated Cougaar code. Currently it is used to verify the behavior of an individual agent in terms of CSP properties and to analyze the corresponding Cougaar society.

Propensity for Voluntary Travel Behavior Changes: An Experimental Analysis

DEFF Research Database (Denmark)

Meloni, Italo; Sanjust, Benedetta; Sottile, Eleonora

2013-01-01

In this paper we analyze individual propensity to voluntary travel behavior change combining concepts from theory of change with the methodologies deriving from behavioral models. In particular, following the theory of voluntary changes, we set up a two-week panel survey including soft measure...... implementation, which consisted of providing car users with a personalized travel plan after the first week of observation (before) and using the second week to monitoring the post-behavior (after). These data have then been used to estimate a Mixed Logit for the choice to use a personal vehicle or a light metro......; and a Multinomial Logit for the decision to change behavior. Results from both models show the relevance of providing information about available alternatives to individuals while promoting voluntary travel behavioral change....

Nondestructive Intervention to Multi-Agent Systems through an Intelligent Agent

Science.gov (United States)

Han, Jing; Wang, Lin

2013-01-01

For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as normal agents by the existing ones. We study how to lead a Vicsek-like flocking model to reach synchronization by adding special agents. A popular method is to add some simple leaders (fixed-headings agents). However, we add one intelligent agent, called ‘shill’, which uses online feedback information of the group to decide the shill's moving direction at each step. A novel strategy for the shill to coordinate the group is proposed. It is strictly proved that a shill with this strategy and a limited speed can synchronize every agent in the group. The computer simulations show the effectiveness of this strategy in different scenarios, including different group sizes, shill speed, and with or without noise. Compared to the method of adding some fixed-heading leaders, our method can guarantee synchronization for any initial configuration in the deterministic scenario and improve the synchronization level significantly in low density groups, or model with noise. This suggests the advantage and power of feedback information in intervention of collective behavior. PMID:23658695

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

Directory of Open Access Journals (Sweden)

Jing Han

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

Advancing Models and Theories for Digital Behavior Change Interventions.

Science.gov (United States)

Hekler, Eric B; Michie, Susan; Pavel, Misha; Rivera, Daniel E; Collins, Linda M; Jimison, Holly B; Garnett, Claire; Parral, Skye; Spruijt-Metz, Donna

2016-11-01

To be suitable for informing digital behavior change interventions, theories and models of behavior change need to capture individual variation and changes over time. The aim of this paper is to provide recommendations for development of models and theories that are informed by, and can inform, digital behavior change interventions based on discussions by international experts, including behavioral, computer, and health scientists and engineers. The proposed framework stipulates the use of a state-space representation to define when, where, for whom, and in what state for that person, an intervention will produce a targeted effect. The "state" is that of the individual based on multiple variables that define the "space" when a mechanism of action may produce the effect. A state-space representation can be used to help guide theorizing and identify crossdisciplinary methodologic strategies for improving measurement, experimental design, and analysis that can feasibly match the complexity of real-world behavior change via digital behavior change interventions. Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

A Framework for Organization-Aware Agents

DEFF Research Database (Denmark)

Jensen, Andreas Schmidt; Dignum, Virginia; Villadsen, Jørgen

2017-01-01

boundaries and work towards the objectives of the organization. In this paper, we present the AORTA reasoning framework and show how it can be integrated into typical BDI-agents. We provide operational semantics that enables agents to make organizational decisions in order to coordinate and cooperate without......’ behavior space and describe the expected behavior of the agents. Assuming an open environment, where agents are developed independently of the Organizational structures, agents need to be able to reason about the structure, so that they can deliberate about their actions and act within the expected...

Gendering democratisation: women as change agents in transition contexts

Directory of Open Access Journals (Sweden)

Andrea Fleschenberg Fleschenberg

2012-02-01

Full Text Available During the last two decades, women politicians have emerged as female democratisation agents, i.e. change agents who actively lobby, struggle and organize for a pro-democracy regime change and a subsequent functioning democratic system, often with a (or the only mass following – whose personal sacrifices, political contributions and legacies arelargely overlooked or contested in related democratisation and gender studies. This article aims to critically assess in how far democratisation and gender studies have systematically studied and analysed the contributions towards democratisation and the consolidation of democracy made by women as head of state or government. It is argued, that there is a strong research desideratum with regard to this phenomenon despite statistical evidence in Latin America, Europe, sub-Saharan Africa and Asia. An overview of different case studies of women heads of state and government in Southern and Eastern Europe, Latin America, South and Southeast Asia is presented, outlining the career paths, political agenda and democratisation record of the respective female democratisation agents. Nevertheless, systematic and substantial research needs to be conducted to allow a profound and appropriate assessment of the political performance and legacies of female democratisation agents at the top echelons of political power. These studies can contribute to a better understanding of the nexus of gender and democratisation, gender and politics as well as to enlarge the explanatory strength of democratisation theories in general.Durante las dos últimas décadas, las mujeres políticas han emergido como agentes femeninos de democratización, es decir agentes de cambio como grupos de presión activos, que luchan y se organizan en pro de un cambio hacia el régimen democrático y al subsiguiente funcionamiento del sistema, a menudo con el seguimiento de las masas (incluso el único – quienes con sus sacrificios

Endogenous opiates mediate radiogenic behavioral change

International Nuclear Information System (INIS)

Mickley, G.A.; Stevens, K.E.; White, G.A.; Gibbs, G.L.

1983-01-01

Exposure of C57BL/6J mice to ionizing radiation caused stereotypical locomotor hyperactivity similar to that produced by morphine. Naloxone administration prevented this radiation-induced behavioral activation. These results support the hypothesis that endorphins are involved in some aspects of radiogenic behavioral change

Future directions of multiple behavior change research.

Science.gov (United States)

Geller, Karly; Lippke, Sonia; Nigg, Claudio R

2017-02-01

Non-communicable diseases (i.e., chronic diseases including cardiovascular disease, cancer, chronic respiratory disease, diabetes and obesity) result in 36 million deaths each year. Individuals' habitual participation in a single health-risk behaviors substantially contribute to morbidity and mortality (e.g., tobacco use, daily fast food intake, etc.); however, more concerning is the impact of typically co-occurring or clustering of multiple health-risk behaviors. This burden can be minimized through successful cessation of health-risk behaviors and adoption of healthy behaviors; namely healthy lifestyle adoption or multiple health behavior change (MHBC). MHBC is a developing field and future research recommendations are provided to advance MHBC research. A valid measure of MHBC (i.e., lifestyle) is warranted to provide the needed basis for MHBC investigations and evaluations. MHBC is thought to occur through shared co-variation of underlying motivating mechanisms, but how these relationships influence behavior remains unclear. A better understanding of the relationship between behaviors and the related motivating mechanisms (and potential cross-relationship of influences) is needed. Future research should also aim to improve lifestyles through understanding how to change multiple health behaviors. Finally, MHBC research should target the development of sustainable interventions which result in lasting effects (e.g., capacity, systems, policy and environmental changes), with dissemination considered during development. Focusing MHBC research in these areas will increase our understanding and maximize the impact on the health of populations.

Issue Paper on Physiological and Behavioral Changes in ...

Science.gov (United States)

This issue paper provides a summary of information from the published literature related to behavioral and physiological changes during pregnancy and lactation that may affect women’s exposure or susceptibility to environmental contaminants, provides potentially useful exposure factor data for this population of women, and highlights data gaps. Background Exposures to environmental contaminants can pose a risk to pregnant women’s health, the developing fetus, children, and adults later in their lives. Assessing risks to this potentially susceptible population requires an understanding of the physiological and behavioral changes that occur during pregnancy and lactation. Many physiological and anatomical changes occur in a woman’s organ systems during the course of pregnancy and lactation. For example, blood volume and cardiac output increase during pregnancy, and other metabolic functions are altered to provide for the demands of the fetus. Nutritional demands are greater during pregnancy and lactation. There also are changes in behavior during both pregnancy and lactation. For example, water consumption during pregnancy and lactation increases. These behavioral and physiological changes can lead to different environmental exposures than these women might otherwise experience in the absence of pregnancy or lactation. The purpose of the issue paper is to provide a summary of data available on physiological and behavioral changes in pregnant a

Nonlinear complexity behaviors of agent-based 3D Potts financial dynamics with random environments

Science.gov (United States)

Xing, Yani; Wang, Jun

2018-02-01

A new microscopic 3D Potts interaction financial price model is established in this work, to investigate the nonlinear complexity behaviors of stock markets. 3D Potts model, which extends the 2D Potts model to three-dimensional, is a cubic lattice model to explain the interaction behavior among the agents. In order to explore the complexity of real financial markets and the 3D Potts financial model, a new random coarse-grained Lempel-Ziv complexity is proposed to certain series, such as the price returns, the price volatilities, and the random time d-returns. Then the composite multiscale entropy (CMSE) method is applied to the intrinsic mode functions (IMFs) and the corresponding shuffled data to study the complexity behaviors. The empirical results indicate that the 3D financial model is feasible.

Epartners supporting behavior change

NARCIS (Netherlands)

Otten, W.; Blanson Henkemans, O.A.; Keulen, H. van; Janssen, J.B.; Nunen, A. van

2013-01-01

The present report focuses on developing a comprehensive framework that guides the design of ePartners that support behavior change to promote health. An ePartner is an interactive, virtual or embodied computer assistant to which one can communicate and that assists persons through tailored advice,

State of the evidence regarding behavior change theories and strategies in nutrition counseling to facilitate health and food behavior change.

Science.gov (United States)

Spahn, Joanne M; Reeves, Rebecca S; Keim, Kathryn S; Laquatra, Ida; Kellogg, Molly; Jortberg, Bonnie; Clark, Nicole A

2010-06-01

Behavior change theories and models, validated within the field of dietetics, offer systematic explanations for nutrition-related behavior change. They are integral to the nutrition care process, guiding nutrition assessment, intervention, and outcome evaluation. The American Dietetic Association Evidence Analysis Library Nutrition Counseling Workgroup conducted a systematic review of peer-reviewed literature related to behavior change theories and strategies used in nutrition counseling. Two hundred fourteen articles were reviewed between July 2007 and March 2008, and 87 studies met the inclusion criteria. The workgroup systematically evaluated these articles and formulated conclusion statements and grades based upon the available evidence. Strong evidence exists to support the use of a combination of behavioral theory and cognitive behavioral theory, the foundation for cognitive behavioral therapy (CBT), in facilitating modification of targeted dietary habits, weight, and cardiovascular and diabetes risk factors. Evidence is particularly strong in patients with type 2 diabetes receiving intensive, intermediate-duration (6 to 12 months) CBT, and long-term (>12 months duration) CBT targeting prevention or delay in onset of type 2 diabetes and hypertension. Few studies have assessed the application of the transtheoretical model on nutrition-related behavior change. Little research was available documenting the effectiveness of nutrition counseling utilizing social cognitive theory. Motivational interviewing was shown to be a highly effective counseling strategy, particularly when combined with CBT. Strong evidence substantiates the effectiveness of self-monitoring and meal replacements and/or structured meal plans. Compelling evidence exists to demonstrate that financial reward strategies are not effective. Goal setting, problem solving, and social support are effective strategies, but additional research is needed in more diverse populations. Routine documentation

Radiation proctitis in the rat. Sequential changes and effects of anti-inflammatory agents

Energy Technology Data Exchange (ETDEWEB)

Northway, M.G.; Scobey, M.W.; Geisinger, K.R.

1988-11-01

Female Wistar rats were treated with single exposure irradiation to 2 cm of distal colon to cause radiation proctitis. All animals were evaluated by examination, colonoscopy and histologic evaluation for changes post-irradiation. Exposures of 10, 12.5, 15, 17.5, 20, 22.5, 25, 27.5 and 30 Gy caused dose-related clinical and histologic changes peaking at 7 to 15 days post-exposure. Rats treated with 20 Gy were colonoscoped and biopsied daily and showed sequential post-irradiation endoscopic changes ranging from mucosal edema and mild inflammatory changes to erosion and ulcers. Histologically, crypt abscess and mural wall necrosis similar to changes found in the human rectum after radiotherapy were noted. Treatment with nonsteroidal anti-inflammatory agents, (aspirin, indomethacin, piroxicam), misoprostol (a prostaglandin E1 analogue), or sucralfate (an anti-ulcer agent) did not ameliorate nor exacerbate radiation proctitis in rats exposed to 22.5 Gy. We conclude from these data that the female Wistar rat is a good model for studying radiation proctitis because endoscopic, histologic, and clinical changes seen post-exposure closely resemble those found in man.

Radiation proctitis in the rat. Sequential changes and effects of anti-inflammatory agents

International Nuclear Information System (INIS)

Northway, M.G.; Scobey, M.W.; Geisinger, K.R.

1988-01-01

Female Wistar rats were treated with single exposure irradiation to 2 cm of distal colon to cause radiation proctitis. All animals were evaluated by examination, colonoscopy and histologic evaluation for changes post-irradiation. Exposures of 10, 12.5, 15, 17.5, 20, 22.5, 25, 27.5 and 30 Gy caused dose-related clinical and histologic changes peaking at 7 to 15 days post-exposure. Rats treated with 20 Gy were colonoscoped and biopsied daily and showed sequential post-irradiation endoscopic changes ranging from mucosal edema and mild inflammatory changes to erosion and ulcers. Histologically, crypt abscess and mural wall necrosis similar to changes found in the human rectum after radiotherapy were noted. Treatment with nonsteroidal anti-inflammatory agents, (aspirin, indomethacin, piroxicam), misoprostol (a prostaglandin E1 analogue), or sucralfate (an anti-ulcer agent) did not ameliorate nor exacerbate radiation proctitis in rats exposed to 22.5 Gy. We conclude from these data that the female Wistar rat is a good model for studying radiation proctitis because endoscopic, histologic, and clinical changes seen post-exposure closely resemble those found in man

Changing Food Related Behavior Through Design

DEFF Research Database (Denmark)

Hermanssdottir, Sunna; Fisker, Anna Marie; Poulsen, Søren Bolvig

The aim of the workshop is to explore how designers can work actively and deliberately with changing food related behavior through socially responsible design. There will be focus on the holistic aspect of behavioral food design with active involving of the users experience. The workshop is based...

Your company's secret change agents.

Science.gov (United States)

Pascale, Richard Tanner; Sternin, Jerry

2005-05-01

Organizational change has traditionally come about through top-down initiatives such as hiring experts or importing best-of-breed practices. Such methods usually result in companywide rollouts of templates mandated from on high. These do little to get people excited. But within every organization, there are a few individuals who find unique ways to look at problems that seem impossible to solve. Although these change agents start out with the same tools and access to resources as their peers, they are able to see solutions where others do not. They find a way to bridge the divide between what is happening and what is possible. These positive deviants are the key, the authors believe, to a better way of creating organizational change. Your company can make the most of their methods by following six steps. In Step 1, Make the group the guru, the members of the community are engaged in the process of their own evolution. Step 2, Reframe through facts, entails restating the problem in a way that opens minds to new possibilities. Step 3, Make it safe to learn, involves creating an environment that supports innovative ideas. In Step 4, Make the problem concrete, the community combats abstraction by stating uncomfortable truths. In Step 5, Leverage social proof, the community looks to the larger society for examples of solutions that have worked in parallel situations. In Step 6, Confound the immune defense response, solutions are introduced organically from within the group in a way that promotes acceptance. Throughout the steps, the leader must suspend his or her traditional role in favor of more facilitatory practices. The positive-deviance approach has unearthed solutions to such complicated and diverse problems as malnutrition in Mali and human trafficking in East Java. This methodology can help solve even the most extreme dilemmas.

Parent Predictors of Changes in Child Behavior Problems

OpenAIRE

Tichovolsky, Marianne H.; Arnold, David H.; Baker, Courtney N.

2013-01-01

The present study examined whether ineffective discipline, single parent status, social support, parent involvement, and parent depression predicted changes in preschoolers’ (N = 129) behavior problems. This study also evaluated whether child sex and ethnicity moderated the relationships between these variables and changes in problem behavior. Parents completed questionnaires at the beginning of the study, and parent, teacher, and observational ratings of children’s behavior problems were col...

Teachers as Agents of Change: Promoting Peacebuilding and Social Cohesion in Schools in Rwanda

Science.gov (United States)

Rubagiza, Jolly; Umutoni, Jane; Kaleeba, Ali

2016-01-01

Education is seen to play a crucial role in the reconstruction of post-conflict countries, particularly in transforming people's mindsets and rebuilding social relations. In this regard, teachers are often perceived as key agents to bring about this transformative change through their role as agents of peace. This paper seeks to understand how…

The use of external change agents to promote quality improvement and organizational change in healthcare organizations: a systematic review.

Science.gov (United States)

Alagoz, Esra; Chih, Ming-Yuan; Hitchcock, Mary; Brown, Randall; Quanbeck, Andrew

2018-01-25

External change agents can play an essential role in healthcare organizational change efforts. This systematic review examines the role that external change agents have played within the context of multifaceted interventions designed to promote organizational change in healthcare-specifically, in primary care settings. We searched PubMed, CINAHL, Cochrane, Web of Science, and Academic Search Premier Databases in July 2016 for randomized trials published (in English) between January 1, 2005 and June 30, 2016 in which external agents were part of multifaceted organizational change strategies. The review was conducted according to PRISMA guidelines. A total of 477 abstracts were identified and screened by 2 authors. Full text articles of 113 studies were reviewed. Twenty-one of these studies were selected for inclusion. Academic detailing (AD) is the most prevalently used organizational change strategy employed as part of multi-component implementation strategies. Out of 21 studies, nearly all studies integrate some form of audit and feedback into their interventions. Eleven studies that included practice facilitation into their intervention reported significant effects in one or more primary outcomes. Our results demonstrate that practice facilitation with regular, tailored follow up is a powerful component of a successful organizational change strategy. Academic detailing alone or combined with audit and feedback alone is ineffective without intensive follow up. Provision of educational materials and use of audit and feedback are often integral components of multifaceted implementation strategies. However, we didn't find examples where those relatively limited strategies were effective as standalone interventions. System-level support through technology (such as automated reminders or alerts) is potentially helpful, but must be carefully tailored to clinic needs.

Teachable moments for health behavior change and intermediate patient outcomes.

Science.gov (United States)

Flocke, Susan A; Clark, Elizabeth; Antognoli, Elizabeth; Mason, Mary Jane; Lawson, Peter J; Smith, Samantha; Cohen, Deborah J

2014-07-01

Teachable moments (TM) are opportunities created through physician-patient interaction and used to encourage patients to change unhealthy behaviors. We examine the effectiveness of TMs to increase patients' recall of advice, motivation to modify behavior, and behavior change. A mixed-method observational study of 811 patient visits to 28 primary care clinicians used audio-recordings of visits to identify TMs and other types of advice in health behavior change talk. Patient surveys assessed smoking, exercise, fruit/vegetable consumption, height, weight, and readiness for change prior to the observed visit and 6-weeks post-visit. Compared to other identified categories of advice (i.e. missed opportunities or teachable moment attempts), recall was greatest after TMs occurred (83% vs. 49-74%). TMs had the greatest proportion of patients change in importance and confidence and increase readiness to change; however differences were small. TMs had greater positive behavior change scores than other categories of advice; however, this pattern was statistically non-significant and was not observed for BMI change. TMs have a greater positive influence on several intermediate markers of patient behavior change compared to other categories of advice. TMs show promise as an approach for clinicians to discuss behavior change with patients efficiently and effectively. Copyright © 2014. Published by Elsevier Ireland Ltd.

U.S. landowner behavior, land use and land cover changes, and climate change mitigation.

Science.gov (United States)

Ralph J. Alig

2003-01-01

Landowner behavior is a major determinant of land use and land cover changes. an important consideration for policy analysts concerned with global change. Study of landowner behavior aids in designing more effective incentives for inducing land use and land cover changes to help mitigate climate change by reducing net greenhouse gas emissions. Afforestation,...

Impact of Different Policies on Unhealthy Dietary Behaviors in an Adult Population of Los Angeles County: An Agent-Based Simulation Model

OpenAIRE

Zhang, Donglan

2014-01-01

A typical American diet is comprised of too much high-calorie foods and insufficient fruits and vegetables. Many theories and models targeting unhealthy dietary behaviors focus exclusively on people as individuals, while behavior theories such as multi-level theory of population health emphasize the social component in human cognitive habits and behaviors, providing an alternative paradigm to understand dietary behaviors. This dissertation incorporates those behavioral theories into an agent-...

Modeling rational, psychological, and social behavior toward diffusion of new technology using agent-based simulation: the case of the public utility jeepney (PUJ) fleet in Metro Manila

DEFF Research Database (Denmark)

Ahanchian, Mohammad; Biona, Jose Bienvenido Manuel

2017-01-01

configuration affect diffusion of innovation. This study presents an agent-based model (ABM) to simulate the rational decision-making, psychological behavior, and social interaction of people to explore their reaction to policy scenarios toward adopting technological changes over time. The aim of model......In most developing countries, over-aged vehicles play a significant role in energy demand and air pollution, which make the transportation sector a suitable choice for investigating opportunities to mitigate climate change. Apparently, people heterogeneity, social influence, and network...... is to assist policymakers for energy and environmental policy design based on consumers’ behavior. The jeepney owners in the old public utility jeepney (PUJ) fleet in Metro Manila are chosen as case study to prove the applicability of the model. The results show that rational, psychological, and social...

Simulating the influence of life trajectory events on transport mode behavior in an agent-based system

NARCIS (Netherlands)

Verhoeven, M.; Arentze, T.A.; Timmermans, H.J.P.; Waerden, van der P.J.H.J.

2007-01-01

this paper describes the results of a study on the impact of lifecycle or life trajectory events on activity-travel decisions. This lifecycle trajectory of individual agents can be easily incorporated in an agent-based simulation system. This paper focuses on two lifecycle events, change in

Dynamic aggregation evolution of competitive societies of cooperative and noncooperative agents

International Nuclear Information System (INIS)

Lin Zhen-Quan; Ye Gao-Xiang

2013-01-01

We propose an evolution model of cooperative agent and noncooperative agent aggregates to investigate the dynamic evolution behaviors of the system and the effects of the competing microscopic reactions on the dynamic evolution. In this model, each cooperative agent and noncooperative agent are endowed with integer values of cooperative spirits and noncooperative spirits, respectively. The cooperative spirits of a cooperative agent aggregate and the noncooperative spirits of a noncooperative agent aggregate change via four competing microscopic reaction schemes: the win-win reaction between two cooperative agents, the lose-lose reaction between two noncooperative agents, the win-lose reaction between a cooperative agent and a noncooperative agent (equivalent to the migration of spirits from cooperative agents to noncooperative agents), and the cooperative agent catalyzed decline of noncooperative spirits. Based on the generalized Smoluchowski's rate equation approach, we investigate the dynamic evolution behaviors such as the total cooperative spirits of all cooperative agents and the total noncooperative spirits of all noncooperative agents. The effects of the three main groups of competition on the dynamic evolution are revealed. These include: (i) the competition between the lose-lose reaction and the win-lose reaction, which gives rise to respectively the decrease and increase in the noncooperative agent spirits; (ii) the competition between the win-win reaction and the win-lose reaction, which gives rise to respectively the increase and decrease in the cooperative agent spirits; (iii) the competition between the win-lose reaction and the catalyzed-decline reaction, which gives rise to respectively the increase and decrease in the noncooperative agent spirits. (interdisciplinary physics and related areas of science and technology)

The eHealth Behavior Management Model: a stage-based approach to behavior change and management.

Science.gov (United States)

Bensley, Robert J; Mercer, Nelda; Brusk, John J; Underhile, Ric; Rivas, Jason; Anderson, Judith; Kelleher, Deanne; Lupella, Melissa; de Jager, André C

2004-10-01

Although the Internet has become an important avenue for disseminating health information, theory-driven strategies for aiding individuals in changing or managing health behaviors are lacking. The eHealth Behavior Management Model combines the Transtheoretical Model, the behavioral intent aspect of the Theory of Planned Behavior, and persuasive communication to assist individuals in negotiating the Web toward stage-specific information. It is here - at the point of stage-specific information - that behavioral intent in moving toward more active stages of change occurs. The eHealth Behavior Management Model is applied in three demonstration projects that focus on behavior management issues: parent-child nutrition education among participants in the U.S. Department of Agriculture Special Supplemental Nutrition Program for Women, Infants and Children; asthma management among university staff and students; and human immunodeficiency virus prevention among South African women. Preliminary results have found the eHealth Behavior Management Model to be promising as a model for Internet-based behavior change programming. Further application and evaluation among other behavior and disease management issues are needed.

Self-Determination Theory: Intrinsic Motivation and Behavioral Change.

Science.gov (United States)

Flannery, Marie

2017-03-01

Motivation is a central concept in behavioral change. This article reviews the self-determination theory with an emphasis on "intrinsic motivation," which is facilitated when three basic psychological needs (autonomy, competence, and relatedness) are met. Intrinsic motivation is associated with improved well-being and sustained behavioral change.

Effect of phenol formaldehyde resin as vulcanizing agent on flow behavior of HDPE/PB blend

Directory of Open Access Journals (Sweden)

Moayad N. Khalaf

2014-07-01

Full Text Available Thermoplastic elastomer (TPE based on High density polyethylene (HDPE/polybutadiene (HDPE/PB = 70/30 parts blends containing 1, 3, 5, 7 and 10 wt.% of dimethylol phenolic resin as a vulcanizing agent in the presence of SnCl2 as catalyst was prepared. The dimethylol phenolic resin was prepared in our laboratory. The blends were compounded in mixer-60 attached to a Haake rheochord meter-90. The rheological properties were measured at temperatures 140, 160, 180 and 200 °C. The linearity of the flow curve appeared for 5% of the vulcanizing agent. The shear stress and shear viscosity have increased upon increasing the shear rate over a range of loading levels of vulcanizing agent of 1%, 3%, 5%, 7% and 10%. This may be attributed to the increased vulcanization between polyethylene and the rubber blend. The flow behavior index of the system shows a pseudo plastic nature behavior (since n < 1. The consistency index (K increased with the increase in the phenol formaldehyde resin content and the temperature. Hence, the increase in the value of the consistency index (K of the polymer melts refers to more viscous materials prepared. The activation energy for the TPE blends fluctuated indicating that there is phase separation; where each polymer behaved separately. This study showed that HDPE/PB blends are characterized with good rheological properties, which can be recommended to be processed with the injection molding technique.

Land Use Change on Household Farms in the Ecuadorian Amazon: Design and Implementation of an Agent-Based Model.

Science.gov (United States)

Mena, Carlos F; Walsh, Stephen J; Frizzelle, Brian G; Xiaozheng, Yao; Malanson, George P

2011-01-01

This paper describes the design and implementation of an Agent-Based Model (ABM) used to simulate land use change on household farms in the Northern Ecuadorian Amazon (NEA). The ABM simulates decision-making processes at the household level that is examined through a longitudinal, socio-economic and demographic survey that was conducted in 1990 and 1999. Geographic Information Systems (GIS) are used to establish spatial relationships between farms and their environment, while classified Landsat Thematic Mapper (TM) imagery is used to set initial land use/land cover conditions for the spatial simulation, assess from-to land use/land cover change patterns, and describe trajectories of land use change at the farm and landscape levels. Results from prior studies in the NEA provide insights into the key social and ecological variables, describe human behavioral functions, and examine population-environment interactions that are linked to deforestation and agricultural extensification, population migration, and demographic change. Within the architecture of the model, agents are classified as active or passive. The model comprises four modules, i.e., initialization, demography, agriculture, and migration that operate individually, but are linked through key household processes. The main outputs of the model include a spatially-explicit representation of the land use/land cover on survey and non-survey farms and at the landscape level for each annual time-step, as well as simulated socio-economic and demographic characteristics of households and communities. The work describes the design and implementation of the model and how population-environment interactions can be addressed in a frontier setting. The paper contributes to land change science by examining important pattern-process relations, advocating a spatial modeling approach that is capable of synthesizing fundamental relationships at the farm level, and links people and environment in complex ways.

Behavioral changes in fish exposed to phytoestrogens

International Nuclear Information System (INIS)

Clotfelter, Ethan D.; Rodriguez, Alison C.

2006-01-01

We investigated the behavioral effects of exposure to waterborne phytoestrogens in male fighting fish, Betta splendens. Adult fish were exposed to a range of concentrations of genistein, equol, β-sitosterol, and the positive control 17β-estradiol. The following behaviors were measured: spontaneous swimming activity, latency to respond to a perceived intruder (mirror reflection), intensity of aggressive response toward a perceived intruder, probability of constructing a nest in the presence of a female, and the size of the nest constructed. We found few changes in spontaneous swimming activity, the latency to respond to the mirror, and nest size, and modest changes in the probability of constructing a nest. There were significant decreases, however, in the intensity of aggressive behavior toward the mirror following exposure to several concentrations, including environmentally relevant ones, of 17β-estradiol, genistein, and equol. This suggests that phytoestrogen contamination has the potential to significantly affect the behavior of free-living fishes. - Environmentally relevant concentrations of phytoestrogens reduce aggressive behavior in fish

How can we become agents for change toward a better, greener world?

DEFF Research Database (Denmark)

Musaeus, Peter; Crossley, Elizabeth; Mueller, Matthew

2017-01-01

In spite of the increasing global urgency of social and environmental impacts on health, medical students and other health professionals do not necessarily appreciate their potential role in becoming agents for social change. Research demonstrates a variety of barriers exist which prevent us from...... a means for encouraging students and others to be green social change agents. The Activity: A balloon will be decorated to look like the earth, and the audience will be required to try to keep the balloon in the air. One participant will be identified as the student. We will identify barriers the student...... may face by attaching objects to the balloon (external barriers) or to the participant (internal barriers), thus increasing the difficulty of suspending the balloon. We will then identify solutions to these barriers and gradually remove the objects, leaving the participant unimpeded. Finally, we...

Agent-based Modeling Simulation Analysis on the Regulation of Institutional Investor's Encroachment Behavior in Stock Market

Directory of Open Access Journals (Sweden)

Yang Li

2014-05-01

Full Text Available Purpose: This study explores the effective regulation of institutional investor's encroachment behavior in stock market. Given the theoretical and practical importance, the present study examines the effect of the self-adaptive regulation strategy (adjusting the regulation factors such as punishment and the probability of investigating successfully in time for the sake of the small & medium-sized investor protection.Design/methodology/approach: This study was carried out through game theory and agent-based modeling simulation. Firstly, a dynamic game model was built to search the core factors of regulation and the equilibrium paths. Secondly, an agent-based modeling simulation model was built in Swarm to extend the game model. Finally, a simulation experiment (using virtual parameter values was performed to examine the effect of regulation strategy obtained form game model.Findings: The results of this study showed that the core factors of avoiding the institutional investor's encroachment behavior are the punishment and the probability of investigating successfully of the regulator. The core factors embody as the self-adaptability and the capability of regulator. If the regulator can adjust the regulation factors in time, the illegal behaviors will be avoided effectively.Research limitations/implications: The simulation experiment in this paper was performed with virtual parameter values. Although the results of experiment showed the effect of self-adaptive regulation, there are still some differences between simulation experiment and real market situation.Originality/value: The purpose of this study is to investigate an effective regulation strategy of institutional investor's encroachment behavior in stock market in order to maintain market order and protect the benefits of investors. Base on the game model and simulation model, a simulation experiment was preformed and the result showed that the self-adaptive regulation would be effective

Car App's Persuasive Design Principles and Behavior Change

Science.gov (United States)

Zhang, Chao; Wan, Lili; Min, Daihwan

2016-01-01

The emphasis of this study lies in behavior change after using car apps that assist users in using their vehicles and establishing a process for examining the interrelationship between car app's persuasive characteristics and behavior change. A categorizing method was developed and 697 car apps were investigated and classified into eight…

Modeling culture in intelligent virtual agents

OpenAIRE

Mascarenhas, S.; Degens, N.; Paiva, A.; Prada, R.; Hofstede, G.J.; Beulens, A.J.M.; Aylett, R.

2016-01-01

This work addresses the challenge of creating virtual agents that are able to portray culturally appropriate behavior when interacting with other agents or humans. Because culture influences how people perceive their social reality it is important to have agent models that explicitly consider social elements, such as existing relational factors. We addressed this necessity by integrating culture into a novel model for simulating human social behavior. With this model, we operationalized a par...

"Causes" of pesticide safety behavior change in Latino farmworker families.

Science.gov (United States)

Grzywacz, Joseph G; Arcury, Thomas A; Talton, Jennifer W; D'Agostino, Ralph B; Trejo, Grisel; Mirabelli, Maria C; Quandt, Sara A

2013-07-01

To identify the source of behavior change resulting from a health education intervention focused on pesticide safety. Data were from the La Familia Sana demonstration project, a promotora-delivered pesticide safety education intervention conducted with immigrant Latinos (N = 610). The La Familia Sana program produced changes in 3 sets of pesticide safety behaviors. Changes in the conceptual targets of the intervention and promotora attributes explained 0.45-6% and 0.5-3% of the changes in pesticide-related behavior, respectively. The conceptual targets of the La Familia Sana program explained the greatest amount of change in pesticide-related behavior. Promotora attributes also contributed to intervention success.

Neuroimaging mechanisms of change in psychotherapy for addictive behaviors: emerging translational approaches that bridge biology and behavior.

Science.gov (United States)

Feldstein Ewing, Sarah W; Chung, Tammy

2013-06-01

Research on mechanisms of behavior change provides an innovative method to improve treatment for addictive behaviors. An important extension of mechanisms of change research involves the use of translational approaches, which examine how basic biological (i.e., brain-based mechanisms) and behavioral factors interact in initiating and sustaining positive behavior change as a result of psychotherapy. Articles in this special issue include integrative conceptual reviews and innovative empirical research on brain-based mechanisms that may underlie risk for addictive behaviors and response to psychotherapy from adolescence through adulthood. Review articles discuss hypothesized mechanisms of change for cognitive and behavioral therapies, mindfulness-based interventions, and neuroeconomic approaches. Empirical articles cover a range of addictive behaviors, including use of alcohol, cigarettes, marijuana, cocaine, and pathological gambling and represent a variety of imaging approaches including fMRI, magneto-encephalography, real-time fMRI, and diffusion tensor imaging. Additionally, a few empirical studies directly examine brain-based mechanisms of change, whereas others examine brain-based indicators as predictors of treatment outcome. Finally, two commentaries discuss craving as a core feature of addiction, and the importance of a developmental approach to examining mechanisms of change. Ultimately, translational research on mechanisms of behavior change holds promise for increasing understanding of how psychotherapy may modify brain structure and functioning and facilitate the initiation and maintenance of positive treatment outcomes for addictive behaviors. 2013 APA, all rights reserved

Behavioral flexibility as a mechanism for coping with climate change

Science.gov (United States)

Beever, Erik; Hall, L. Embere; Varner, Johanna; Loosen, Anne E.; Dunham, Jason B.; Gahl, Megan K.; Smith, Felisa A.; Lawler, Joshua J.

2017-01-01

Of the primary responses to contemporary climate change – “move, adapt, acclimate, or die” – that are available to organisms, “acclimate” may be effectively achieved through behavioral modification. Behavioral flexibility allows animals to rapidly cope with changing environmental conditions, and behavior represents an important component of a species’ adaptive capacity in the face of climate change. However, there is currently a lack of knowledge about the limits or constraints on behavioral responses to changing conditions. Here, we characterize the contexts in which organisms respond to climate variability through behavior. First, we quantify patterns in behavioral responses across taxa with respect to timescales, climatic stimuli, life-history traits, and ecology. Next, we identify existing knowledge gaps, research biases, and other challenges. Finally, we discuss how conservation practitioners and resource managers can incorporate an improved understanding of behavioral flexibility into natural resource management and policy decisions.

Agent-Based Models in Social Physics

Science.gov (United States)

Quang, Le Anh; Jung, Nam; Cho, Eun Sung; Choi, Jae Han; Lee, Jae Woo

2018-06-01

We review the agent-based models (ABM) on social physics including econophysics. The ABM consists of agent, system space, and external environment. The agent is autonomous and decides his/her behavior by interacting with the neighbors or the external environment with the rules of behavior. Agents are irrational because they have only limited information when they make decisions. They adapt using learning from past memories. Agents have various attributes and are heterogeneous. ABM is a non-equilibrium complex system that exhibits various emergence phenomena. The social complexity ABM describes human behavioral characteristics. In ABMs of econophysics, we introduce the Sugarscape model and the artificial market models. We review minority games and majority games in ABMs of game theory. Social flow ABM introduces crowding, evacuation, traffic congestion, and pedestrian dynamics. We also review ABM for opinion dynamics and voter model. We discuss features and advantages and disadvantages of Netlogo, Repast, Swarm, and Mason, which are representative platforms for implementing ABM.

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

Science.gov (United States)

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

2005-12-01

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

Stages of driving behavior change within the Transtheoretical Model (TM).

Science.gov (United States)

Kowalski, Kristina; Jeznach, Anna; Tuokko, Holly Anna

2014-09-01

Many older adults voluntarily restrict their driving or stop driving of their own accord. Driving behavior change may occur in stages, as predicted by the Transtheoretical Model of Behavior Change (TM). This study explored the process of older driver behavior change within the TM framework using interviews/focus groups with drivers and former drivers aged 71-94 years. Within those groups of drivers, driving behavior was divided into two classes: those who changed their driving with age and those who did not. Those who changed their driving as they aged included people gradually imposing restrictions ("gradual restrictors") and those making plans in anticipation of stopping driving ("preparers"). Participants who did not change their driving included those who employed lifelong driving restrictions ("consistent") and those who made no changes ("non-changers"). Preliminary support for TM within the driving context was found; however, further exploration of driving behavior change within this framework is warranted. It is important to continue to investigate the factors that might influence driving behavior in older adults. By promoting self-regulation in individuals, it may be possible to help older adults continue to drive, thereby improving older adult's mobility and quality of life. Copyright © 2014 National Safety Council and Elsevier Ltd. All rights reserved.

Using an Analysis of Behavior Change to Inform Effective Digital Intervention Design: How Did the PRIMIT Website Change Hand Hygiene Behavior Across 8993 Users?

Science.gov (United States)

Ainsworth, B; Steele, M; Stuart, B; Joseph, J; Miller, S; Morrison, L; Little, P; Yardley, L

2017-06-01

In designing digital interventions for healthcare, it is important to understand not just whether interventions work but also how and for whom-including whether individual intervention components have different effects, whether a certain usage threshold is required to change behavior in each intervention and whether usage differs across population subgroups. We investigated these questions using data from a large trial of the digital PRimary care trial of a website based Infection control intervention to Modify Influenza-like illness and respiratory tract infection Transmission) (PRIMIT) intervention, which aimed to reduce respiratory tract infections (RTIs) by increasing hand hygiene behavior. Baseline and follow-up questionnaires measured behaviors, intentions and attitudes in hand hygiene. In conjunction with objective measures of usage of the four PRIMIT sessions, we analysed these observational data to examine mechanisms of behavior change in 8993 intervention users. We found that the PRIMIT intervention changed behavior, intentions and attitudes, and this change was associated with reduced RTIs. The largest hand hygiene change occurred after the first session, with incrementally smaller changes after each subsequent session, suggesting that engagement with the core behavior change techniques included in the first session was necessary and sufficient for behavior change. The intervention was equally effective for men and women, older and younger people and was particularly effective for those with lower levels of education. Our well-powered analysis has implications for intervention development. We were able to determine a 'minimum threshold' of intervention engagement that is required for hand hygiene change, and we discuss the potential implications this (and other analyses of this type) may have for further intervention development. We also discuss the application of similar analyses to other interventions.

The NIH Science of Behavior Change Program: Transforming the science through a focus on mechanisms of change.

Science.gov (United States)

Nielsen, Lisbeth; Riddle, Melissa; King, Jonathan W; Aklin, Will M; Chen, Wen; Clark, David; Collier, Elaine; Czajkowski, Susan; Esposito, Layla; Ferrer, Rebecca; Green, Paige; Hunter, Christine; Kehl, Karen; King, Rosalind; Onken, Lisa; Simmons, Janine M; Stoeckel, Luke; Stoney, Catherine; Tully, Lois; Weber, Wendy

2018-02-01

The goal of the NIH Science of Behavior Change (SOBC) Common Fund Program is to provide the basis for an experimental medicine approach to behavior change that focuses on identifying and measuring the mechanisms that underlie behavioral patterns we are trying to change. This paper frames the development of the program within a discussion of the substantial disease burden in the U.S. attributable to behavioral factors, and details our strategies for breaking down the disease- and condition-focused silos in the behavior change field to accelerate discovery and translation. These principles serve as the foundation for our vision for a unified science of behavior change at the NIH and in the broader research community. Copyright © 2017. Published by Elsevier Ltd.

An agent-based approach with collaboration among agents. Estimation of wholesale electricity price on PJM and artificial data generated by a mean reverting model

International Nuclear Information System (INIS)

Sueyoshi, Toshiyuki

2010-01-01

This study examines the performance of MAIS (Multi-Agent Intelligent Simulator) equipped with various learning capabilities. In addition to the learning capabilities, the proposed MAIS incorporates collaboration among agents. The proposed MAIS is applied to estimate a dynamic change of wholesale electricity price in PJM (Pennsylvania-New Jersey-Mainland) and an artificial data set generated by a mean reverting model. Using such different types of data sets, the methodological validity of MAIS is confirmed by comparing it with other well-known alternatives in computer science. This study finds that the MAIS needs to incorporate both the mean reverting model and the collaboration behavior among agents in order to enhance its estimation capability. The MAIS discussed in this study will provide research on energy economics with a new numerical capability that can investigate a dynamic change of not only wholesale electricity price but also speculation and learning process of traders. (author)

The gap between behavioral risk status and willingness to change behavior among healthcare professionals.

Science.gov (United States)

Kasila, K; Hallman, M; Kautiainen, H; Vanhala, M; Kettunen, T

2018-01-01

This study explored behavioral health risk factors among healthcare professionals and investigated the at-risk persons' satisfaction with their health habits and ongoing change attempts. The study was based on a cross-sectional web-based survey directed at the nurses and physicians ( N = 1233) in Finnish healthcare. Obesity, low physical activity, smoking, and risky alcohol drinking were used as behavioral health risk factors. In all, 70% of the participants had at least one behavioral risk factor, and a significant number of at-risk persons were satisfied with their health habits and had no ongoing change process. Good self-rated health and good self-rated work ability were significantly associated with whether a participant had a behavioral health risk factor. Overall, unhealthy behaviors and a lack of ongoing change attempts were commonly observed among healthcare professionals. Work in healthcare is demanding, and healthy lifestyles can support coping. Thus, healthy lifestyle programs should also be targeted to healthcare professionals.

Does Information Change Behavior?

OpenAIRE

Huffman, Wallace

2009-01-01

This paper reviews and synthesizes the theory of information economics and empirical evidence on how information changes the behavior of consumers, households and firms. I show that consumers respond to new information in food experiments but perhaps not in retirement account management. Some seeming perverse consumer/investor decision making may be a result of a complex decision with a low expected payoff.

Wetlands in Canada's western boreal forest: Agents of change

Energy Technology Data Exchange (ETDEWEB)

Foote, L.; Krogman, N. [University of Alberta, Edmonton, AB (Canada). Dept. of Renewable Resources

2006-11-15

Wetlands of the western boreal forest are poorly studied. In the last decade (1990-2000) there were approximately 1810 northern hemisphere scientific papers published addressing boreal wetlands, tundra, taiga, or bogs. We explore the extent of understanding and impacts of six major agents of change affecting forested wetlands of the boreal zone: (1) commercial forestry, (2) petroleum extraction, (3) mining (bitumen, coal, peat, ore, and diamonds), (4) agriculture, (5) climate change, and (6) hydrologic alteration. Finally, we address the social context, costs, and recommendations for wetland maintenance.

Impact of different policies on unhealthy dietary behaviors in an urban adult population: an agent-based simulation model.

Science.gov (United States)

Zhang, Donglan; Giabbanelli, Philippe J; Arah, Onyebuchi A; Zimmerman, Frederick J

2014-07-01

Unhealthy eating is a complex-system problem. We used agent-based modeling to examine the effects of different policies on unhealthy eating behaviors. We developed an agent-based simulation model to represent a synthetic population of adults in Pasadena, CA, and how they make dietary decisions. Data from the 2007 Food Attitudes and Behaviors Survey and other empirical studies were used to calibrate the parameters of the model. Simulations were performed to contrast the potential effects of various policies on the evolution of dietary decisions. Our model showed that a 20% increase in taxes on fast foods would lower the probability of fast-food consumption by 3 percentage points, whereas improving the visibility of positive social norms by 10%, either through community-based or mass-media campaigns, could improve the consumption of fruits and vegetables by 7 percentage points and lower fast-food consumption by 6 percentage points. Zoning policies had no significant impact. Interventions emphasizing healthy eating norms may be more effective than directly targeting food prices or regulating local food outlets. Agent-based modeling may be a useful tool for testing the population-level effects of various policies within complex systems.

Health behavior change in hearing healthcare: a discussion paper

Directory of Open Access Journals (Sweden)

Vinaya K. C. Manchaiah

2012-02-01

Full Text Available Health behavior change (HBC refers to facilitating changes to habits and/or behavior related to health. In healthcare practice, it is quite common that the interactions between practitioner and patient involve conversations related to HBC. This could be mainly in relation to the practitioner trying to directly persuade the patients to make some changes in their health behavior. However, the patients may not be motivated to do so as they do not see this change as important. For this reason, direct persuasion may result in a breakdown of communication. In such instances, alternative approaches and means of indirect persuasion, such as empowering the patient and their family members, could be helpful. Furthermore, there are several models and/or theories proposed which explain the health behavior and also provide a structured framework for health behavior change. Many such models/approaches have been proven effective in facilitating HBC and health promotion in areas such as cessation of smoking, weight loss and so on. This paper provides an overview of main models/theories related to HBC and some insights into how these models/approaches could be adapted to facilitate behavior change in hearing healthcare, mainly in relation to: i hearing help-seeking and hearing-aid uptake; and ii hearing conservation in relation to music-induced hearing loss (MIHL. In addition, elements of current research related to this area and future directions are highlighted.

Modeling behavioral thermoregulation in a climate change sentinel.

Science.gov (United States)

Moyer-Horner, Lucas; Mathewson, Paul D; Jones, Gavin M; Kearney, Michael R; Porter, Warren P

2015-12-01

When possible, many species will shift in elevation or latitude in response to rising temperatures. However, before such shifts occur, individuals will first tolerate environmental change and then modify their behavior to maintain heat balance. Behavioral thermoregulation allows animals a range of climatic tolerances and makes predicting geographic responses under future warming scenarios challenging. Because behavioral modification may reduce an individual's fecundity by, for example, limiting foraging time and thus caloric intake, we must consider the range of behavioral options available for thermoregulation to accurately predict climate change impacts on individual species. To date, few studies have identified mechanistic links between an organism's daily activities and the need to thermoregulate. We used a biophysical model, Niche Mapper, to mechanistically model microclimate conditions and thermoregulatory behavior for a temperature-sensitive mammal, the American pika (Ochotona princeps). Niche Mapper accurately simulated microclimate conditions, as well as empirical metabolic chamber data for a range of fur properties, animal sizes, and environmental parameters. Niche Mapper predicted pikas would be behaviorally constrained because of the need to thermoregulate during the hottest times of the day. We also showed that pikas at low elevations could receive energetic benefits by being smaller in size and maintaining summer pelage during longer stretches of the active season under a future warming scenario. We observed pika behavior for 288 h in Glacier National Park, Montana, and thermally characterized their rocky, montane environment. We found that pikas were most active when temperatures were cooler, and at sites characterized by high elevations and north-facing slopes. Pikas became significantly less active across a suite of behaviors in the field when temperatures surpassed 20°C, which supported a metabolic threshold predicted by Niche Mapper. In general

On Programming Organization-Aware Agents

DEFF Research Database (Denmark)

Jensen, Andreas Schmidt

2013-01-01

Since it is difficult (or even impossible) to assume anything about the agents’ behavior and goals in an open multi-agent system, it is often suggested that an organization is imposed upon the agents, whichhich, by abstracting away from the agents, specifies boundaries and objectives that the age...

Socialization Sequences and Student Attitudes Towards Non-Violent Social Change.

Science.gov (United States)

Boulding, Elise

Examined is a general model of the socialization process based on Polak's theory of social change which identifies key agents of the process which shape perceptions of the possibility of creative change instead of defensiveness or aggression in situations where old behaviors are inadequate. Six agents of socialization are identified: family,…

Health marketing and behavioral change: a review of the literature.

Science.gov (United States)

Chichirez, Cristina-Mihaela; Purcărea, Victor Lorin

2018-01-01

Health marketing as a part of social marketing, must influence individuals, voluntarily, through various social programmes, in order to accept, reject, modify or abandon a behavior in favour of a healthier lifestyle. Acting on individual behavior change, social marketing can influence the behaviour of those who decide public policies, with positive effects in social change. In time, in order to understand and predict a behavior, a number of theories, models and tactics were developed with the aim to identify factors and mechanisms with the greatest impact in the changing process. Cognitive- social theories proved to be more effective, because they offer guidelines for conducting research in behavioral change.

Health marketing and behavioral change: a review of the literature

Science.gov (United States)

Chichirez, Cristina-Mihaela; Purcărea, Victor Lorin

2018-01-01

Health marketing as a part of social marketing, must influence individuals, voluntarily, through various social programmes, in order to accept, reject, modify or abandon a behavior in favour of a healthier lifestyle. Acting on individual behavior change, social marketing can influence the behaviour of those who decide public policies, with positive effects in social change. In time, in order to understand and predict a behavior, a number of theories, models and tactics were developed with the aim to identify factors and mechanisms with the greatest impact in the changing process. Cognitive- social theories proved to be more effective, because they offer guidelines for conducting research in behavioral change. PMID:29696059

An Agent-Based Model of Private Woodland Owner Management Behavior Using Social Interactions, Information Flow, and Peer-To-Peer Networks.

Directory of Open Access Journals (Sweden)

Emily Silver Huff

Full Text Available Privately owned woodlands are an important source of timber and ecosystem services in North America and worldwide. Impacts of management on these ecosystems and timber supply from these woodlands are difficult to estimate because complex behavioral theory informs the owner's management decisions. The decision-making environment consists of exogenous market factors, internal cognitive processes, and social interactions with fellow landowners, foresters, and other rural community members. This study seeks to understand how social interactions, information flow, and peer-to-peer networks influence timber harvesting behavior using an agent-based model. This theoretical model includes forested polygons in various states of 'harvest readiness' and three types of agents: forest landowners, foresters, and peer leaders (individuals trained in conservation who use peer-to-peer networking. Agent rules, interactions, and characteristics were parameterized with values from existing literature and an empirical survey of forest landowner attitudes, intentions, and demographics. The model demonstrates that as trust in foresters and peer leaders increases, the percentage of the forest that is harvested sustainably increases. Furthermore, peer leaders can serve to increase landowner trust in foresters. Model output and equations will inform forest policy and extension/outreach efforts. The model also serves as an important testing ground for new theories of landowner decision making and behavior.

Flame retardancy and thermal behavior of intumescent flame-retardant EVA composites with an efficient triazine-based charring agent

Science.gov (United States)

Xu, Bo; Ma, Wen; Wu, Xiao; Qian, Lijun; Jiang, Shan

2018-04-01

Intumescent flame retardant (IFR) EVA composites were prepared based on a hyperbranched triazine charring-foaming agent (HTCFA) and ammonium polyphosphate (APP). The synergistic effect of HTCFA and APP on the flame retardancy and thermal behavior of the composites were investigated through flammability tests, cone calorimeter measurements, thermogravimetric analysis (TGA) including evolved gas analysis (TG-IR) and residue analysis (Fourier transform infrared (FTIR), laser Raman spectroscopy (LRS), x-ray Photoelectron Spectroscopy (XPS) and scanning electron microscopy (SEM)). The flammability test results showed HTCFA/APP (1/3) system presented the best synergistic effect in flame-retardant EVA composites with the highest LOI value and UL-94 V-0 rating. As for cone calorimeter results, IFR changed the combustion behavior of EVA and resulted in remarkable decrease of flammability and smoke product. TGA results showed the synergistic effect between APP and HTCFA could strengthen the char-forming ability of composites. TG-IR results indicated the melt viscosities and gas release with increasing temperature were well-correlated for EVA/IFR composite. The residue analysis results from SEM, LRS, FT-IR and XPS revealed IFR promoted forming more compact graphitic char layer, connected by rich P–O–C and P–N structures.

Endocrine active agents: implications of adverse and non-adverse changes.

Science.gov (United States)

Foster, Paul M D; McIntyre, Barry S

2002-01-01

The US Environmental Protection Agency (EPA) is currently in the process of developing screening and testing methodologies for the assessment of agents that may possess endocrine-like activity--the so-called endocrine disruptors. Moreover, the EPA has signaled its intention of placing information arising from such studies on the worldwide web. This has created significant interest in how such information may be used in risk assessment and by policymakers and the public in the potential regulation or deselection of specific chemical agents. The construction of lists of endocrine disruptors, although fulfilling the requirements of some parties, is really of little use when the nature of the response, the dose level employed, and the lifestage of the test species used are not given. Thus, we have already seen positive in vitro information available on the interaction with a receptor being used as a key indicator when the results of large, high quality in vivo studies showing no adverse changes have been ignored. Clearly a number of in vitro systems are available to ascertain chemical interaction with specific (mainly steroid) hormone receptors including a number of reporter gene assays. These assays only provide indicators of potential problems and should not be, in isolation, indicators of toxicity. Likewise, short-term in vivo screens such as the uterotrophic and Hershberger studies are frequently conducted in castrated animals and thus indicate the potential for a pharmacological response in vivo rather than an adverse effect. A number of new end points have been added to standard rodent testing protocols in the belief of providing more sensitivity to detect endocrine related changes. These include the measurement of anogenital distance (AGD), developmental landmarks [vaginal opening (VO), preputial separation (PPS)], and in some studies the counting of nipples and areolae on males. AGD, VO, and PPS are all affected by the size of the pup in which they are measured

Physicians with MBA degrees: change agents for healthcare improvement.

Science.gov (United States)

Lazarus, Arthur

2010-01-01

Increasingly, physicians gravitating toward the fields of quality improvement and healthcare management are seeking MBA degrees to supplement their medical training. Approximately half of all U.S. medical schools offer combined MD-MBA degrees, and numerous executive MBA programs exist for physicians in practice. Physicians who enter management are considered change agents for healthcare improvement, yet they receive little support and encouragement from their medical teachers and practicing colleagues. This situation can be rectified by placing greater value on the role of business-trained physicians and subsidizing their tuition for business school.

Educating dental students about diet-related behavior change: does experiential learning work?

Science.gov (United States)

Taylor, George W; Stumpos, Madelyn L; Kerschbaum, Wendy; Inglehart, Marita Rohr

2014-01-01

The objective of this study was to explore whether an experiential exercise in a nutrition class would a) increase dental students' motivation to change their own diet-related behavior, b) improve their understanding of theoretical concepts related to behavior change, and c) improve their attitudes towards educating their patients about diet-related behavior. Data were collected from 218 senior dental students in one dental school (2010: 106; 2011: 112) during their nutrition class. The students agreed at the beginning that it was important to change their own diet-related behavior. After one week, the majority agreed that they had changed how they felt and thought about the targeted behavior and what they actually did. After three weeks and at the end of the term, they rated the exercise as helpful for gaining a better understanding of health education theories. The majority indicated that the exercise had helped them understand the difficulty of diet-related behavior change and that it had increased their interest in helping patients change their diet-related behavior. In conclusion, this study suggests that experiential learning about diet-related behavior change is likely to affect students' own behavior positively and to result in increased understanding of behavior change theories and positive behavioral intentions concerning future health education efforts with patients.

Expanding the research area of behavior change support systems

NARCIS (Netherlands)

van Gemert-Pijnen, Julia E.W.C.; Reitberger, Wolfgang; Langrial, Sitwat; Ploderer, Bernd; Oinas-Kukkonen, Harri; Berkovsky, Shlomo; Freyne, Jill

2013-01-01

The First International Workshop on Behavior Change Support Systems attracted a great research interest. The selected papers focused on abstraction, implementation and evaluation of Behavior Change Support Systems. The workshop is an evidence of how researchers from around the globe have their own

Efficacy of antidotes (midazolam, atropine and HI-6) on nerve agent induced molecular and neuropathological changes

OpenAIRE

RamaRao, Golime; Afley, Prachiti; Acharya, Jyothiranjan; Bhattacharya, Bijoy Krishna

2014-01-01

Background Recent alleged attacks with nerve agent sarin on civilians in Syria indicate their potential threat to both civilian and military population. Acute nerve agent exposure can cause rapid death or leads to multiple and long term neurological effects. The biochemical changes that occur following nerve agent exposure needs to be elucidated to understand the mechanisms behind their long term neurological effects and to design better therapeutic drugs to block their multiple neurotoxic ef...

MOOCs as Change Agents to Boost Innovation in Higher Education Learning Arenas

Science.gov (United States)

Ossiannilsson, Ebba; Altinay, Fahriye; Altinay, Zehra

2016-01-01

Massive open online courses (MOOCs) provide opportunities for learners to benefit from initiatives that are promoted by prestigious universities worldwide. The introduction of MOOCs in 2008 has since then transformed education globally. Consequently, MOOCs should be acknowledged as a pedagogical innovation and recognized as change agents and…

Behavior change techniques in top-ranked mobile apps for physical activity.

Science.gov (United States)

Conroy, David E; Yang, Chih-Hsiang; Maher, Jaclyn P

2014-06-01

Mobile applications (apps) have potential for helping people increase their physical activity, but little is known about the behavior change techniques marketed in these apps. The aim of this study was to characterize the behavior change techniques represented in online descriptions of top-ranked apps for physical activity. Top-ranked apps (n=167) were identified on August 28, 2013, and coded using the Coventry, Aberdeen and London-Revised (CALO-RE) taxonomy of behavior change techniques during the following month. Analyses were conducted during 2013. Most descriptions of apps incorporated fewer than four behavior change techniques. The most common techniques involved providing instruction on how to perform exercises, modeling how to perform exercises, providing feedback on performance, goal-setting for physical activity, and planning social support/change. A latent class analysis revealed the existence of two types of apps, educational and motivational, based on their configurations of behavior change techniques. Behavior change techniques are not widely marketed in contemporary physical activity apps. Based on the available descriptions and functions of the observed techniques in contemporary health behavior theories, people may need multiple apps to initiate and maintain behavior change. This audit provides a starting point for scientists, developers, clinicians, and consumers to evaluate and enhance apps in this market. Copyright © 2014 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Does It Matter Whom an Agent Serves? Evidence from Recent Changes in Real Estate Agency Law.

OpenAIRE

Curran, Christopher; Schrag, Joel

2000-01-01

Recent changes in real estate law hastened the shift from a seller's agency regime, in which real estate agents serve the interests of sellers, to a buyer's agency regime, in which agents serve the interests of buyers. Using data from the Atlanta real estate market, we show that the shift to buyer's agency led to a significant decline in real estate prices in the market for relatively expensive houses, while real estate prices did not significantly change in the market for relatively inexpens...

Health Behavior Change Challenge: Understanding Stages of Change

Science.gov (United States)

Sullivan, Claire F.

2011-01-01

This semester-long activity requires students to reflect on their own strengths and weaknesses in attempting to take on a personally meaningful health behavior change challenge. This assignment affords them the opportunity to take a deeper look at theory and health concepts learned throughout the semester and to see how it has informed their own…

Behavioral, demographic, psychosocial, and sociocultural concomitants of stage of change for physical activity behavior in a mixed-culture sample.

Science.gov (United States)

Cardinal, Bradley J; Lee, Jong-Young; Kim, Young-Ho; Lee, Hyo; Li, Kin-Kit; Si, Qi

2009-01-01

Examine behavioral, demographic, psychosocial, and sociocultural concomitants of the stages of change for physical activity behavior among college students in South Korea (n = 221) and the United States (n = 166). Measures obtained in this cross-sectional study included age; body mass index; nationality; gender; exercise behavior; processes of change; decisional balance; self-efficacy; stage of change; and predisposing, reinforcing, and enabling factors. The amount of variance explained for stage of change by the transtheoretical model constructs (i.e., decisional balance, processes of change, self-efficacy) ranged from 11% to 29% (all p behavior (OR = 1.04; p behavioral processes of change (OR = 1.12; p change. In terms of physical activity behavior, South Korean women were more likely than South Korean men to be in the early stages, whereas American men were slightly more likely to be in the early stages than American women when all the concomitants were accounted for. Among the psychosocial stage of change concomitants, only the behavioral processes of change were found to be important.

Ethnicity and parental report of postoperative behavioral changes in children.

Science.gov (United States)

Fortier, Michelle A; Tan, Edwin T; Mayes, Linda C; Wahi, Aditi; Rosenbaum, Abraham; Strom, Suzanne; Santistevan, Ricci; Kain, Zeev N

2013-05-01

To examine the role of ethnicity and language in parent report of children's postoperative behavioral recovery. To compare incidence of new onset negative behavior change in English- and Spanish-speaking White and Hispanic children following outpatient surgery. Postoperative behavioral change in children is common; however, it is unknown whether cultural variables including ethnicity and language may influence parent report of children's behavioral recovery. Participants included 288 parents (English-speaking White, English-speaking Hispanic, Spanish-speaking Hispanic parents) of children undergoing outpatient elective surgery. Parents completed the post-hospitalization behavior questionnaire (PHBQ) and parents' postoperative pain measure (PPPM) on postoperative days one, three, and seven at home. Most parents (83%) reported onset of new negative behavioral change in children postoperatively. Generalized estimating equations revealed significant group differences in overall behavior change [Wald χ(2)(12) = 375.69, P children compared to English-speaking White (ESW) parents (day 1: P children's postoperative behavioral recovery may be influenced by cultural variables, such as ethnicity and language. The present results contribute to a growing body of evidence that highlights the need for culturally sensitive assessment and care of families in the medical setting. The findings may reflect differences in cultural values such as stoicism; however, future studies would benefit from examination of the factors that may account for the differences in reported behavior change after surgery (i.e., report bias, cultural values). © 2012 Blackwell Publishing Ltd.

Behavioral Disinhibition Can Foster Intentions to Healthy Lifestyle Change by Overcoming Commitment to Past Behavior.

Science.gov (United States)

Fennis, Bob M; Andreassen, Tor W; Lervik-Olsen, Line

2015-01-01

To curb the trend towards obesity and unhealthy living, people may need to change their entire lifestyle to a healthier alternative, something that is frequently perceived to be problematic. The present research, using a large, representative community sample, hypothesized and found that a key factor responsible for why people do not intend to change lifestyles is a sense of commitment to past behavior. However we also found that the contribution of commitment was attenuated for individuals with a stronger tendency for behavioral disinhibition thus underscoring the "bright side" of this individual difference characteristic that traditionally has been mainly associated with impulsive and indulging behavior. Overall, the present findings add to our understanding of factors inhibiting and promoting healthy behavior change.

Nonparametric Change Point Diagnosis Method of Concrete Dam Crack Behavior Abnormality

Directory of Open Access Journals (Sweden)

Zhanchao Li

2013-01-01

Full Text Available The study on diagnosis method of concrete crack behavior abnormality has always been a hot spot and difficulty in the safety monitoring field of hydraulic structure. Based on the performance of concrete dam crack behavior abnormality in parametric statistical model and nonparametric statistical model, the internal relation between concrete dam crack behavior abnormality and statistical change point theory is deeply analyzed from the model structure instability of parametric statistical model and change of sequence distribution law of nonparametric statistical model. On this basis, through the reduction of change point problem, the establishment of basic nonparametric change point model, and asymptotic analysis on test method of basic change point problem, the nonparametric change point diagnosis method of concrete dam crack behavior abnormality is created in consideration of the situation that in practice concrete dam crack behavior may have more abnormality points. And the nonparametric change point diagnosis method of concrete dam crack behavior abnormality is used in the actual project, demonstrating the effectiveness and scientific reasonableness of the method established. Meanwhile, the nonparametric change point diagnosis method of concrete dam crack behavior abnormality has a complete theoretical basis and strong practicality with a broad application prospect in actual project.

A Change Impact Analysis to Characterize Evolving Program Behaviors

Science.gov (United States)

Rungta, Neha Shyam; Person, Suzette; Branchaud, Joshua

2012-01-01

Change impact analysis techniques estimate the potential effects of changes made to software. Directed Incremental Symbolic Execution (DiSE) is an intraprocedural technique for characterizing the impact of software changes on program behaviors. DiSE first estimates the impact of the changes on the source code using program slicing techniques, and then uses the impact sets to guide symbolic execution to generate path conditions that characterize impacted program behaviors. DiSE, however, cannot reason about the flow of impact between methods and will fail to generate path conditions for certain impacted program behaviors. In this work, we present iDiSE, an extension to DiSE that performs an interprocedural analysis. iDiSE combines static and dynamic calling context information to efficiently generate impacted program behaviors across calling contexts. Information about impacted program behaviors is useful for testing, verification, and debugging of evolving programs. We present a case-study of our implementation of the iDiSE algorithm to demonstrate its efficiency at computing impacted program behaviors. Traditional notions of coverage are insufficient for characterizing the testing efforts used to validate evolving program behaviors because they do not take into account the impact of changes to the code. In this work we present novel definitions of impacted coverage metrics that are useful for evaluating the testing effort required to test evolving programs. We then describe how the notions of impacted coverage can be used to configure techniques such as DiSE and iDiSE in order to support regression testing related tasks. We also discuss how DiSE and iDiSE can be configured for debugging finding the root cause of errors introduced by changes made to the code. In our empirical evaluation we demonstrate that the configurations of DiSE and iDiSE can be used to support various software maintenance tasks

Special Agents Can Promote Cooperation in the Population

Science.gov (United States)

Wang, Xin; Han, Jing; Han, Huawei

2011-01-01

Cooperation is ubiquitous in our real life but everyone would like to maximize her own profits. How does cooperation occur in the group of self-interested agents without centralized control? Furthermore, in a hostile scenario, for example, cooperation is unlikely to emerge. Is there any mechanism to promote cooperation if populations are given and play rules are not allowed to change? In this paper, numerical experiments show that complete population interaction is unfriendly to cooperation in the finite but end-unknown Repeated Prisoner's Dilemma (RPD). Then a mechanism called soft control is proposed to promote cooperation. According to the basic idea of soft control, a number of special agents are introduced to intervene in the evolution of cooperation. They comply with play rules in the original group so that they are always treated as normal agents. For our purpose, these special agents have their own strategies and share knowledge. The capability of the mechanism is studied under different settings. We find that soft control can promote cooperation and is robust to noise. Meanwhile simulation results demonstrate the applicability of the mechanism in other scenarios. Besides, the analytical proof also illustrates the effectiveness of soft control and validates simulation results. As a way of intervention in collective behaviors, soft control provides a possible direction for the study of reciprocal behaviors. PMID:22216202

Processes of behavior change and weight loss in a theory-based weight loss intervention program: a test of the process model for lifestyle behavior change.

Science.gov (United States)

Gillison, Fiona; Stathi, Afroditi; Reddy, Prasuna; Perry, Rachel; Taylor, Gordon; Bennett, Paul; Dunbar, James; Greaves, Colin

2015-01-16

Process evaluation is important for improving theories of behavior change and behavioral intervention methods. The present study reports on the process outcomes of a pilot test of the theoretical model (the Process Model for Lifestyle Behavior Change; PMLBC) underpinning an evidence-informed, theory-driven, group-based intervention designed to promote healthy eating and physical activity for people with high cardiovascular risk. 108 people at high risk of diabetes or heart disease were randomized to a group-based weight management intervention targeting diet and physical activity plus usual care, or to usual care. The intervention comprised nine group based sessions designed to promote motivation, social support, self-regulation and understanding of the behavior change process. Weight loss, diet, physical activity and theoretically defined mediators of change were measured pre-intervention, and after four and 12 months. The intervention resulted in significant improvements in fiber intake (M between-group difference = 5.7 g/day, p behavior change, and the predicted mechanisms of change specified in the PMBLC were largely supported. Improvements in self-efficacy and understanding of the behavior change process were associated with engagement in coping planning and self-monitoring activities, and successful dietary change at four and 12 months. While participants reported improvements in motivational and social support variables, there was no effect of these, or of the intervention overall, on physical activity. The data broadly support the theoretical model for supporting some dietary changes, but not for physical activity. Systematic intervention design allowed us to identify where improvements to the intervention may be implemented to promote change in all proposed mediators. More work is needed to explore effective mechanisms within interventions to promote physical activity behavior.

Integrated Theory of Health Behavior Change: background and intervention development.

Science.gov (United States)

Ryan, Polly

2009-01-01

An essential characteristic of advanced practice nurses is the use of theory in practice. Clinical nurse specialists apply theory in providing or directing patient care, in their work as consultants to staff nurses, and as leaders influencing and facilitating system change. Knowledge of technology and pharmacology has far outpaced knowledge of how to facilitate health behavior change, and new theories are needed to better understand how practitioners can facilitate health behavior change. In this article, the Integrated Theory of Health Behavior Change is described, and an example of its use as foundation to intervention development is presented. The Integrated Theory of Health Behavior Change suggests that health behavior change can be enhanced by fostering knowledge and beliefs, increasing self-regulation skills and abilities, and enhancing social facilitation. Engagement in self-management behaviors is seen as the proximal outcome influencing the long-term distal outcome of improved health status. Person-centered interventions are directed to increasing knowledge and beliefs, self-regulation skills and abilities, and social facilitation. Using a theoretical framework improves clinical nurse specialist practice by focusing assessments, directing the use of best-practice interventions, and improving patient outcomes. Using theory fosters improved communication with other disciplines and enhances the management of complex clinical conditions by providing holistic, comprehensive care.

Religion Does Matter for Climate Change Attitudes and Behavior.

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Morrison, Mark; Duncan, Roderick; Parton, Kevin

2015-01-01

Little research has focused on the relationship between religion and climate change attitudes and behavior. Further, while there have been some studies examining the relationship between environmental attitudes and religion, most are focused on Christian denominations and secularism, and few have examined other religions such as Buddhism. Using an online survey of 1,927 Australians we examined links between membership of four religious groupings (Buddhists, Christian literalists and non-literalists, and Secularists) and climate change attitudes and behaviors. Differences were found across religious groups in terms of their belief in: (a) human induced climate change, (b) the level of consensus among scientists, (c) their own efficacy, and (d) the need for policy responses. We show, using ordinal regression, that religion explains these differences even after taking into account socio-demographic factors, knowledge and environmental attitude, including belief in man's dominion over nature. Differences in attitude and behavior between these religious groups suggest the importance of engaging denominations to encourage change in attitudes and behavior among their members.

Making the case for change: What researchers need to consider when designing behavior change interventions aimed at improving medication dispensing.

Science.gov (United States)

Cadogan, Cathal A; Ryan, Cristín; Hughes, Carmel

2016-01-01

There is a growing emphasis on behavior change in intervention development programmes aimed at improving public health and healthcare professionals' practice. A number of frameworks and methodological tools have been established to assist researchers in developing interventions seeking to change healthcare professionals' behaviors. The key features of behavior change intervention design involve specifying the target group (i.e. healthcare professional or patient cohort), the target behavior and identifying mediators (i.e. barriers and facilitators) of behavior change. Once the target behavior is clearly specified and understood, specific behavior change techniques can then be used as the basis of the intervention to target identified mediators of behavior change. This commentary outlines the challenges for pharmacy practice-based researchers in targeting dispensing as a behavior when developing behavior change interventions aimed at pharmacists and proposes a definition of dispensing to consider in future research. Copyright © 2016 Elsevier Inc. All rights reserved.

Lifestyle Assessment: Helping Patients Change Health Behaviors

OpenAIRE

Ciliska, Donna; Wilson, Douglas M. C.

1984-01-01

This article is the second in a series of six on lifestyle assessment and behavior change. The first article presented an assessment tool called FANTASTIC, which has been tested for reliability and is currently in wide use. After assessment, family physicians must help patients decide to change—and give them guidance on how to change—unhealthy behaviors. This article explains how the family physician can use educational, behavioral and relaxation strategies to increase patients' motivation, m...

Change-Agent-for-Equity (CAFE) Model: A Framework for School Counselor Identity

Science.gov (United States)

Mason, Erin C. M.; Ockerman, Melissa S.; Chen-Hayes, Stuart F.

2013-01-01

Significant recent influences in the profession have provided clear direction about what school counseling programs should look like but have not explicitly defined the professional identity necessary to enact these programs. A Change-Agent-for-Equity (CAFE) Model draws from the American School Counselor Association National Model (2003, 2005,…

Emotional responses to behavioral economic incentives for health behavior change.

Science.gov (United States)

van der Swaluw, Koen; Lambooij, Mattijs S; Mathijssen, Jolanda J P; Zeelenberg, Marcel; Polder, Johan J; Prast, Henriëtte M

2018-03-05

Many people aim to change their lifestyle, but have trouble acting on their intentions. Behavioral economic incentives and related emotions can support commitment to personal health goals, but the related emotions remain unexplored. In a regret lottery, winners who do not attain their health goals do not get their prize but receive feedback on what their forgone earnings would have been. This counterfactual feedback should provoke anticipated regret and increase commitment to health goals. We explored which emotions were actually expected upon missing out on a prize due to unsuccessful weight loss and which incentive-characteristics influence their likelihood and intensity. Participants reported their expected emotional response after missing out on a prize in one of 12 randomly presented incentive-scenarios, which varied in incentive type, incentive size and deadline distance. Participants primarily reported feeling disappointment, followed by regret. Regret was expected most when losing a lottery prize (vs. a fixed incentive) and intensified with prize size. Multiple features of the participant and the lottery incentive increase the occurrence and intensity of regret. As such, our findings can be helpful in designing behavioral economic incentives that leverage emotions to support health behavior change.

Individualism and Collectivism in Trade Agents

NARCIS (Netherlands)

Hofstede, G.J.; Jonker, C.M.; Verwaart, D.

2008-01-01

Agent-Based Modeling can contribute to the understanding of international trade processes. Models for the effects of culture and cultural differences on agent behavior are required for realistic agent-based simulation of international trade. This paper makes a step toward modeling of culture in

Modeling culture in intelligent virtual agents

NARCIS (Netherlands)

Mascarenhas, S.; Degens, N.; Paiva, A.; Prada, R.; Hofstede, G.J.; Beulens, A.J.M.; Aylett, R.

2016-01-01

This work addresses the challenge of creating virtual agents that are able to portray culturally appropriate behavior when interacting with other agents or humans. Because culture influences how people perceive their social reality it is important to have agent models that explicitly consider social

Mind wandering via mental contrasting as a tool for behavior change

Directory of Open Access Journals (Sweden)

Gabriele eOettingen

2013-09-01

Full Text Available When people engage in mind wandering they drift away from a task towards their inner thoughts and feelings. These thoughts often circle around people’s personal futures. One assumed function of mind wandering is that it aids problem solving and planning for the future. We will discuss different forms of mind wandering and their effects on problem solving and behavior change. While solely fantasizing about a desired future leads to poor problem solving and little behavior change, mind wandering in the form of mental contrasting leads to skilled problem solving and substantial behavior change. In mental contrasting, people first envision the desired future and then imagine the obstacles that need to be surmounted to reach said future. Mental contrasting instigates behavior change by modulating the strength of associations between future and reality and between reality and instrumental action. Intervention research shows that mental contrasting can be taught as a cost- and time-effective self-regulation strategy of behavior change. The findings have implications for research on mind wandering, problem solving, and on creating effective interventions of behavior change.

Evolutionary autonomous agents and the nature of apraxia

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Jin Frank

2005-01-01

Full Text Available Abstract Background Evolutionary autonomous agents are robots or robot simulations whose controller is a dynamical neural network and whose evolution occurs autonomously under the guidance of a fitness function without the detailed or explicit direction of an external programmer. They are embodied agents with a simple neural network controller and as such they provide the optimal forum by which sensorimotor interactions in a specified environment can be studied without the computational assumptions inherent in standard neuroscience. Methods Evolutionary autonomous agents were evolved that were able to perform identical movements under two different contexts, one which represented an automatic movement and one which had a symbolic context. In an attempt to model the automatic-voluntary dissociation frequently seen in ideomotor apraxia, lesions were introduced into the neural network controllers resulting in a behavioral dissociation with loss of the ability to perform the movement which had a symbolic context and preservation of the simpler, automatic movement. Results Analysis of the changes in the hierarchical organization of the networks in the apractic EAAs demonstrated consistent changes in the network dynamics across all agents with loss of longer duration time scales in the network dynamics. Conclusion The concepts of determinate motor programs and perceptual representations that are implicit in the present day understanding of ideomotor apraxia are assumptions inherent in the computational understanding of brain function. The strength of the present study using EAAs to model one aspect of ideomotor apraxia is the absence of these assumptions and a grounding of all sensorimotor interactions in an embodied, autonomous agent. The consistency of the hierarchical changes in the network dynamics across all apractic agents demonstrates that this technique is tenable and will be a valuable adjunct to a computational formalism in the understanding

Influencing behavioral change by customer engagement amongst youth

OpenAIRE

Singh, Sonal

2011-01-01

Sonal SinghMarketing and Management Department, Macquarie University, Sydney, New South Wales, AustraliaAbstract: It is widely accepted that many social and health problems have underlying behavioral causes. Because these problems are rooted in human behavior, solutions to deal with them also lie in human behavior. This paper examines ways of integrating customer engagement in social programs to influence and initiate behavior change effectively with a special focus on youth. This work follow...

Hypercompetitive Environments: An Agent-based model approach

Science.gov (United States)

Dias, Manuel; Araújo, Tanya

Information technology (IT) environments are characterized by complex changes and rapid evolution. Globalization and the spread of technological innovation have increased the need for new strategic information resources, both from individual firms and management environments. Improvements in multidisciplinary methods and, particularly, the availability of powerful computational tools, are giving researchers an increasing opportunity to investigate management environments in their true complex nature. The adoption of a complex systems approach allows for modeling business strategies from a bottom-up perspective — understood as resulting from repeated and local interaction of economic agents — without disregarding the consequences of the business strategies themselves to individual behavior of enterprises, emergence of interaction patterns between firms and management environments. Agent-based models are at the leading approach of this attempt.

Collective Motion in Behaviorally Heterogeneous Systems

Science.gov (United States)

Copenhagen, Katherine

Collective motion is a widespread phenomenon in nature where individuals actively propel themselves, gather together and move as a group. Some examples of collective motion are bird flocks, fish schools, bacteria swarms, cell clusters, and crowds of people. Many models seek to understand the effects of activity in collective systems including things such as environmental disorder, density, and interaction details primarily at infinite size limits and with uniform populations. In this dissertation I investigate the effects of finite sizes and behavioral heterogeneity as it exists in nature. Behavioral heterogeneity can originate from several different sources. Mixed populations of individuals can have inherently different behaviors such as mutant bacteria, injured fish, or agents that prefer individualistic behavior over coordinated motion. Alternatively, agents may modify their own behavior based on some local environmental dependency, such as local substrate, or density. In cases such as mutant cheaters in bacteria or malfunctioning drones in swarms, mixed populations of behaviorally heterogeneous agents can be modelled as arising in the form of aligning and non-aligning agents. When this kind of heterogeneity is introduced, there is a critical carrying capacity of non-aligners above which the system is unable to form a cohesive ordered group. However, if the cohesion of the group is relaxed to allow for fracture, the system will actively sort out non-aligning agents the system will exist at a critical non-aligner fraction. A similar heterogeneity could result in a mixture of high and low noise individuals. In this case there is also a critical carry capacity beyond which the system is unable to reach an ordered state, however the nature of this transition depends on the model details. Agents which are part of an ordered collective may vary their behavior as the group changes environments such as a flock of birds flying into a cloud. Using a unique model of a

Tropical Forest Gain and Interactions amongst Agents of Forest Change

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Sean Sloan

2016-02-01

Full Text Available The tropical deforestation literature advocates multi-agent enquiry in recognition that key dynamics arise from inter-agent interactions. Studies of tropical forest-cover gain have lagged in this respect. This article explores the roles and key aspects of interactions shaping natural forest regeneration and active reforestation in Eastern Panama since 1990. It employs household surveys of agricultural landholders, interviews with community forest-restoration organisations, archival analysis of plantation reforestation interests, satellite image analysis of forest-cover change, and the consideration of State reforestation policies. Forest-cover gain reflected a convergence of interests and land-use trends amongst agents. Low social and economic costs of sustained interaction and organisation enabled extensive forest-cover gain, but low transaction costs did not. Corporate plantation reforestation rose to the fore of regional forest-cover gain via opportunistic land sales by ranchers and economic subsidies indicative of a State preference for autonomous, self-organising forest-cover gain. This reforestation follows a recent history of neoliberal frontier development in which State-backed loggers and ranchers similarly displaced agriculturalists. Community institutions, long neglected by the State, struggled to coordinate landholders and so effected far less forest-cover gain. National and international commitments to tropical forest restoration risk being similarly characterised as ineffective by a predominance of industrial plantation reforestation without greater State support for community forest management.

Eating Behaviors and Dietary Changes in Patients With Dementia.

Science.gov (United States)

Cipriani, Gabriele; Carlesi, Cecilia; Lucetti, Claudio; Danti, Sabrina; Nuti, Angelo

2016-12-01

Eating problems and dietary changes have been reported in patients with dementia. The aim of this article is to explore the generalized problems with nutrition, diet, feeding, and eating reported among patients with dementia. Medline and Google Scholar searches were conducted for relevant articles, chapters, and books published before 2016. Search terms used included behavioral and psychological symptoms of dementia, dementia, dietary changes, eating behavior. Publications found through this indexed search were reviewed for further relevant references. Abnormal eating behaviors, eating problems, and dietary changes are present in most people with dementia, especially in the later stages of the condition. Individuals with dementia frequently develop serious feeding difficulties and changes in eating and dietary habits. The changes may be secondary to cognitive impairment or apraxia, or the result of insufficient caregiving, or the consequence of metabolic or neurochemical abnormalities occurring as part of the dementing process.

Olivine-type cathode for rechargeable batteries: Role of chelating agents

International Nuclear Information System (INIS)

Kandhasamy, Sathiyaraj; Singh, Pritam; Thurgate, Stephen; Ionescu, Mihail; Appadoo, Dominique; Minakshi, Manickam

2012-01-01

Highlights: ► Olivine powder was synthesized by sol–gel method using a range of chelating agents. ► Role of chelating agents in olivine cathode was investigated for battery application. ► Battery was fabricated with olivine cathode, Zn anode and aqueous electrolyte. ► Synergetic effect of additives (CA + TEA + PVP) led to improved storage capacity. - Abstract: Olivine (LiCo 1/3 Mn 1/3 Ni 1/3 PO 4 ) powders were synthesized at 550–600 °C for 6 h in air by a sol–gel method using multiple chelating agents and used as a cathode material for rechargeable batteries. Range of chelating agents like a weak organic acid (citric acid – CA), emulsifier (triethanolamine – TEA) and non-ionic surfactant (polyvinylpyrrolidone – PVP) in sol–gel wet chemical synthesis were used. The dependence of the physicochemical properties of the olivine powders such as particle size, morphology, structural bonding and crystallinity on the chelating agent was extensively investigated. Among the chelating agents used, unique cycling behavior (75 mAh/g after 25 cycles) is observed for the PVP assisted olivine. This is due to volumetric change in trapped organic layer for first few cycles. The trapped organic species in the electrode–electrolyte interface enhances the rate of lithium ion diffusion with better capacity retention. In contrast, CA and TEA showed a gradual capacity fade of 30 and 38 mAh/g respectively after multiple cycles. The combination of all the three mixed chelating agents showed an excellent electrochemical behavior of 100 mAh/g after multiple cycles and the synergistic effect of these agents are discussed.

Behavioral Change Strategies for Improving Complementary Feeding and Breastfeeding.

Science.gov (United States)

Osendarp, Saskia J M; Roche, Marion L

2016-01-01

Improving infant and young child feeding (IYCF) practices, including breastfeeding and complementary feeding, has been identified as one of the most effective interventions to improve child survival, stunting and wasting. Evidence from randomized controlled trials suggests that effective promotion of breastfeeding and complementary feeding, with or without food provision, has the potential to improve IYCF practices and child nutrition. However, in many countries, breastfeeding practices and complementary feeding practices are still far from optimal. The lack of implementation of available, effective, affordable interventions in scale-up programs is in part attributed to a lack of innovative, creative and effective behavioral change strategies that enable and encourage caregivers. Successful behavioral change strategies should be based on a rigorous situational analysis and formative research, and the findings and insights of formative research should be used to further design interventions that address the identified barriers and enablers, to select delivery channels, and to formulate appropriate and effective messages. In addition, successful behavioral change interventions should a priori define and investigate the program impact pathway to target behavioral change and should assess intermediary behavioral changes and indicators to learn why the expected outcome was achieved or not achieved by testing the program theory. The design of behavioral change communication must be flexible and responsive to shifts in societies and contexts. Performance of adequate IYCF also requires investments to generate community demand through social mobilization, relevant media and existing support systems. Applying these principles has been shown to be effective in improving IYCF practices in Vietnam, Bangladesh and Ethiopia and is recommended to be adopted by other programs and countries in order to accelerate progress in improving child nutrition. © 2016 S. Karger AG, Basel.

Agent-based land markets: Heterogeneous agents, land proces and urban land use change

NARCIS (Netherlands)

Filatova, Tatiana; Parker, Dawn C.; van der Veen, A.; Amblard, F.

2007-01-01

We construct a spatially explicit agent-based model of a bilateral land market. Heterogeneous agents form their bid and ask prices for land based on the utility that they obtain from a certain location (houte/land) and base on the state of the market (an excess of demand or supply). We underline the

Bayesian Nonparametric Estimation of Targeted Agent Effects on Biomarker Change to Predict Clinical Outcome

Science.gov (United States)

Graziani, Rebecca; Guindani, Michele; Thall, Peter F.

2015-01-01

Summary The effect of a targeted agent on a cancer patient's clinical outcome putatively is mediated through the agent's effect on one or more early biological events. This is motivated by pre-clinical experiments with cells or animals that identify such events, represented by binary or quantitative biomarkers. When evaluating targeted agents in humans, central questions are whether the distribution of a targeted biomarker changes following treatment, the nature and magnitude of this change, and whether it is associated with clinical outcome. Major difficulties in estimating these effects are that a biomarker's distribution may be complex, vary substantially between patients, and have complicated relationships with clinical outcomes. We present a probabilistically coherent framework for modeling and estimation in this setting, including a hierarchical Bayesian nonparametric mixture model for biomarkers that we use to define a functional profile of pre-versus-post treatment biomarker distribution change. The functional is similar to the receiver operating characteristic used in diagnostic testing. The hierarchical model yields clusters of individual patient biomarker profile functionals, and we use the profile as a covariate in a regression model for clinical outcome. The methodology is illustrated by analysis of a dataset from a clinical trial in prostate cancer using imatinib to target platelet-derived growth factor, with the clinical aim to improve progression-free survival time. PMID:25319212

Implicit Processes, Self-Regulation, and Interventions for Behavior Change.

Science.gov (United States)

St Quinton, Tom; Brunton, Julie A

2017-01-01

The ability to regulate and subsequently change behavior is influenced by both reflective and implicit processes. Traditional theories have focused on conscious processes by highlighting the beliefs and intentions that influence decision making. However, their success in changing behavior has been modest with a gap between intention and behavior apparent. Dual-process models have been recently applied to health psychology; with numerous models incorporating implicit processes that influence behavior as well as the more common conscious processes. Such implicit processes are theorized to govern behavior non-consciously. The article provides a commentary on motivational and volitional processes and how interventions have combined to attempt an increase in positive health behaviors. Following this, non-conscious processes are discussed in terms of their theoretical underpinning. The article will then highlight how these processes have been measured and will then discuss the different ways that the non-conscious and conscious may interact. The development of interventions manipulating both processes may well prove crucial in successfully altering behavior.

Changing work, changing health: can real work-time flexibility promote health behaviors and well-being?

Science.gov (United States)

Moen, Phyllis; Kelly, Erin L; Tranby, Eric; Huang, Qinlei

2011-12-01

This article investigates a change in the structuring of work time, using a natural experiment to test whether participation in a corporate initiative (Results Only Work Environment; ROWE) predicts corresponding changes in health-related outcomes. Drawing on job strain and stress process models, we theorize greater schedule control and reduced work-family conflict as key mechanisms linking this initiative with health outcomes. Longitudinal survey data from 659 employees at a corporate headquarters shows that ROWE predicts changes in health-related behaviors, including almost an extra hour of sleep on work nights. Increasing employees' schedule control and reducing their work-family conflict are key mechanisms linking the ROWE innovation with changes in employees' health behaviors; they also predict changes in well-being measures, providing indirect links between ROWE and well-being. This study demonstrates that organizational changes in the structuring of time can promote employee wellness, particularly in terms of prevention behaviors.

Change Agent Strategies: A Study of the Michigan-Ohio Regional Educational Laboratory.

Science.gov (United States)

Miller, Peggy Lynne

This dissertation reports on a study of the planning and development activities of the Michigan-Ohio Regional Educational Laboratory (MOREL). The study attempted to assess (1) whether MOREL has accepted a change agent role, and (2) whether it has taken action that indicates recognition of what is known through the literature and research about…

Possible Solutions as a Concept in Behavior Change Interventions.

Science.gov (United States)

Mahoney, Diane E

2018-04-24

Nurses are uniquely positioned to implement behavior change interventions. Yet, nursing interventions have traditionally resulted from nurses problem-solving rather than allowing the patient to self-generate possible solutions for attaining specific health outcomes. The purpose of this review is to clarify the meaning of possible solutions in behavior change interventions. Walker and Avant's method on concept analysis serves as the framework for examination of the possible solutions. Possible solutions can be defined as continuous strategies initiated by patients and families to overcome existing health problems. As nurses engage in behavior change interventions, supporting patients and families in problem-solving will optimize health outcomes and transform clinical practice. © 2018 NANDA International, Inc.

An agent-based simulation model to study accountable care organizations.

Science.gov (United States)

Liu, Pai; Wu, Shinyi

2016-03-01

Creating accountable care organizations (ACOs) has been widely discussed as a strategy to control rapidly rising healthcare costs and improve quality of care; however, building an effective ACO is a complex process involving multiple stakeholders (payers, providers, patients) with their own interests. Also, implementation of an ACO is costly in terms of time and money. Immature design could cause safety hazards. Therefore, there is a need for analytical model-based decision-support tools that can predict the outcomes of different strategies to facilitate ACO design and implementation. In this study, an agent-based simulation model was developed to study ACOs that considers payers, healthcare providers, and patients as agents under the shared saving payment model of care for congestive heart failure (CHF), one of the most expensive causes of sometimes preventable hospitalizations. The agent-based simulation model has identified the critical determinants for the payment model design that can motivate provider behavior changes to achieve maximum financial and quality outcomes of an ACO. The results show nonlinear provider behavior change patterns corresponding to changes in payment model designs. The outcomes vary by providers with different quality or financial priorities, and are most sensitive to the cost-effectiveness of CHF interventions that an ACO implements. This study demonstrates an increasingly important method to construct a healthcare system analytics model that can help inform health policy and healthcare management decisions. The study also points out that the likely success of an ACO is interdependent with payment model design, provider characteristics, and cost and effectiveness of healthcare interventions.

Behavior change interventions: the potential of ontologies for advancing science and practice.

Science.gov (United States)

Larsen, Kai R; Michie, Susan; Hekler, Eric B; Gibson, Bryan; Spruijt-Metz, Donna; Ahern, David; Cole-Lewis, Heather; Ellis, Rebecca J Bartlett; Hesse, Bradford; Moser, Richard P; Yi, Jean

2017-02-01

A central goal of behavioral medicine is the creation of evidence-based interventions for promoting behavior change. Scientific knowledge about behavior change could be more effectively accumulated using "ontologies." In information science, an ontology is a systematic method for articulating a "controlled vocabulary" of agreed-upon terms and their inter-relationships. It involves three core elements: (1) a controlled vocabulary specifying and defining existing classes; (2) specification of the inter-relationships between classes; and (3) codification in a computer-readable format to enable knowledge generation, organization, reuse, integration, and analysis. This paper introduces ontologies, provides a review of current efforts to create ontologies related to behavior change interventions and suggests future work. This paper was written by behavioral medicine and information science experts and was developed in partnership between the Society of Behavioral Medicine's Technology Special Interest Group (SIG) and the Theories and Techniques of Behavior Change Interventions SIG. In recent years significant progress has been made in the foundational work needed to develop ontologies of behavior change. Ontologies of behavior change could facilitate a transformation of behavioral science from a field in which data from different experiments are siloed into one in which data across experiments could be compared and/or integrated. This could facilitate new approaches to hypothesis generation and knowledge discovery in behavioral science.

[A cross-sectional study on the changes in dietary behavior stages in resident].

Science.gov (United States)

Xu, Liang-wen; Ma, Hai-yan; Yang, Ting-zhong; Liu, Ting-jie

2004-05-01

To explore the possibility of applying the concept of various stages of dietary behavior changes in Hangzhou residents. The dietary behavior was surveyed and analyzed in 1 388 Hangzhou residents with 18 year-old and older using the various dietary behavior change model model and stages of change. The proportion of Hangzhou residents with unhealthy dietary behavior was high and associated with gender and education level. The changes of dietary behavior could be divided into 5 stages, i.e. preintention, intention, preparation, action and maintenance. These stages of change happen consecutively. The changes of unhealthy dietary behavior do not match the improvement of health knowledge. Although a significant proportion of the residents understand that it is unhealthy to eat too much fat, pickles and high salt food, there are only a few of them really take action to reduce the consumption of these foods and to consume more milk, fruit and vegetable. There are multiple factors that affect the changes of dietary behavior in people. The changes of dietary behavior occur in various consecutive stages. Different intervention measures should be applied to people in different dietary behavior changes.

Agents of Structural Change : The Role of Firms and Entrepreneurs in Regional Diversification

NARCIS (Netherlands)

Neffke, Frank; Hartog, Matté; Boschma, Ron; Henning, Martin

2018-01-01

Who introduces structural change in regional economies: Entrepreneurs or existing firms? And do local or nonlocal establishment founders create most novelty in a region? We develop a theoretical framework that focuses on the roles different agents play in regional transformation. We then apply this

Propagation of the state change induced by external forces in local interactions

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Lu, Jianjun; Tokinaga, Shozo

2016-10-01

This paper analyses the propagation of the state changes of agents that are induced by external forces applied to a plane. In addition, we propose two models for the behavior of the agents placed on a lattice plane, both of which are affected by local interactions. We first assume that agents are allowed to move to another site to maximise their satisfaction. Second, we utilise a model in which the agents choose activities on each site. The results show that the migration (activity) patterns of agents in both models achieve stability without any external forces. However, when we apply an impulsive external force to the state of the agents, we then observe the propagation of the changes in the agents' states. Using simulation studies, we show the conditions for the propagation of the state changes of the agents. We also show the propagation of the state changes of the agents allocated in scale-free networks and discuss the estimation of the agents' decisions in real state changes. Finally, we discuss the estimation of the agents' decisions in real state temporal changes using economic and social data from Japan and the United States.

Behavior analysis and the growth of behavioral pharmacology

OpenAIRE

Laties, Victor G.

2003-01-01

Psychologists, particularly those influenced by the work of B. F. Skinner, played a major part in the development of behavioral pharmacology in the 1950s and 1960s. Revolutionary changes in pharmacology and psychiatry, including the discovery of powerful therapeutic agents such as chlorpromazine and reserpine, had produced a surge of interest in drug research. Pharmaceutical companies began hiring psychologists with operant conditioning backgrounds so as to compete successfully in the search ...

Artist as Change Agent: A Pedagogy of Practice in Artist Proof Studio

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Berman, Kim

2012-01-01

In this article, the author discusses how art, politics, and life intersect in a South African community visual arts studio program that seeks to educate artists as change agents. Artist Proof Studio (APS) was founded in 1991 and responded to the challenge of building democracy in a postapartheid South Africa. It is a community art center in…

The continental shelf benthic ecosystem: Current status, agents for change and future prospects

OpenAIRE

Hall, S.J.

2002-01-01

Metadata only record Continental shelf benthic ecosystems play an important role in the economy of many coastal states through the provision of food, non-living resources and through control of climate. Changes in the status of these ecosystems, through either natural or human-induced environmental drivers can be expected to have important economic and social consequences. Agents that could induce change include climate and oceanography, hydrology (river discharge), land-use and waste disp...

Changing Work, Changing Health: Can Real Work-Time Flexibility Promote Health Behaviors and Well-Being?

Science.gov (United States)

Moen, Phyllis; Kelly, Erin L.; Tranby, Eric; Huang, Qinlei

2012-01-01

This article investigates a change in the structuring of work time, using a natural experiment to test whether participation in a corporate initiative (Results Only Work Environment; ROWE) predicts corresponding changes in health-related outcomes. Drawing on job strain and stress process models, we theorize greater schedule control and reduced work-family conflict as key mechanisms linking this initiative with health outcomes. Longitudinal survey data from 659 employees at a corporate headquarters shows that ROWE predicts changes in health-related behaviors, including almost an extra hour of sleep on work nights. Increasing employees’ schedule control and reducing their work-family conflict are key mechanisms linking the ROWE innovation with changes in employees’ health behaviors; they also predict changes in well-being measures, providing indirect links between ROWE and well-being. This study demonstrates that organizational changes in the structuring of time can promote employee wellness, particularly in terms of prevention behaviors. PMID:22144731

Effects of habitual anger on employees' behavior during organizational change.

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Bönigk, Mareike; Steffgen, Georges

2013-11-25

Organizational change is a particularly emotional event for those being confronted with it. Anger is a frequently experienced emotion under these conditions. This study analyses the influence of employees' habitual anger reactions on their reported behavior during organizational change. It was explored whether anger reactions conducive to recovering or increasing individual well-being will enhance the likelihood of functional change behavior. Dysfunctional regulation strategies in terms of individual well-being are expected to decrease the likelihood of functional change behavior-mediated by the commitment to change. Four hundred and twelve employees of different organizations in Luxembourg undergoing organizational change participated in the study. Findings indicate that the anger regulation strategy venting, and humor increase the likelihood of deviant resistance to change. Downplaying the incident's negative impact and feedback increase the likelihood of active support for change. The mediating effect of commitment to change has been found for humor and submission. The empirical findings suggest that a differentiated conceptualization of resistance to change is required. Specific implications for practical change management and for future research are discussed.

Emotional responses to behavioral economic incentives for health behavior change

NARCIS (Netherlands)

van der Swaluw, Koen; Lambooij, Mattijs S.; Mathijssen, Jolanda J.P.; Zeelenberg, Marcel; Polder, Johan J.; Prast, Henriëtte M.

2018-01-01

Many people aim to change their lifestyle, but have trouble acting on their intentions. Behavioral economic incentives and related emotions can support commitment to personal health goals, but the related emotions remain unexplored. In a regret lottery, winners who do not attain their health goals

Emotional Responses to Behavioral Economic Incentives for Health Behavior Change

NARCIS (Netherlands)

van der Swaluw, Koen; Lambooij, Mattijs S; Mathijssen, Jolanda; Zeelenberg, Marcel; Polder, Johan; Prast, Henriette

2018-01-01

Many people aim to change their lifestyle, but have trouble acting on their intentions. Behavioral economic incentives and related emotions can support commitment to personal health goals, but the related emotions remain unexplored. In a regret lottery, winners who do not attain their health goals

Using negative and positive social feedback from a robotic agent to save energy

NARCIS (Netherlands)

Midden, C.J.H.; Ham, J.R.C.; Chatterjee, S.; Dev, P.

2009-01-01

In this paper we explore the persuasive effects of social feedback, as provided by an embodied agent, on behavioral change. In a lab setting, two experiments were conducted in which participants had the opportunity to conserve energy while carrying out washing tasks with a simulated washing machine.

Cognitive and behavioral changes in Huntington disease before diagnosis.

Science.gov (United States)

Paulsen, Jane S; Miller, Amanda C; Hayes, Terry; Shaw, Emily

2017-01-01

Phenotypic manifestations of Huntington disease (HD) can be detected at least 15 years prior to the time when a motor diagnosis is given. Advances in clinical care and future research will require consistent use of HD definitions and HD premanifest (prodromal) stages being used across clinics, sites, and countries. Cognitive and behavioral (psychiatric) changes in HD are summarized and implications for ongoing advancement in our knowledge of prodromal HD are suggested. The earliest detected cognitive changes are observed in the Symbol Digit Modalities Test, Stroop Interference, Stroop Color and Word Test-interference condition, and Trail Making Test. Cognitive changes in the middle and near motor diagnostic stages of prodromal HD involve nearly every cognitive test administered and the greatest changes over time (i.e., slopes) are found in those prodromal HD participants who are nearest to motor diagnosis. Psychiatric changes demonstrate significant worsening over time and remain elevated compared with healthy controls throughout the prodromal disease course. Psychiatric and behavior changes in prodromal HD are much lower than that obtained using cognitive assessment, although the psychiatric and behavioral changes represent symptoms most debilitating to independent capacity and wellness. Copyright © 2017 Elsevier B.V. All rights reserved.

Self-Regulation, Self-Efficacy and Health Behavior Change in Older Adults.

Science.gov (United States)

Purdie, Nola; McCrindle, Andrea

2002-01-01

Presents an overview of self-regulation models: theory of planned behavior, protection motivation theory, health belief model, action control theory, transtheoretical model of behavior change, health action process, and precaution adoption process. Applies models to health behavior change in older adults with cardiovascular disease or diabetes.…

HURRICANE CHANGES: EXAMINING ENHANCED MOTIVATION TO CHANGE DRUG USING BEHAVIORS AMONG KATRINA EVACUEES.

Science.gov (United States)

Tiburcio, Nelson Jose; Twiggs, Robert; Dunlap, Eloise E

2009-12-01

Substance use disorders are credited with greater amounts of death and illness than all other preventable health problems. Billions of dollars are spent on efforts to control drug supplies and fund various treatment approaches, but relatively little resources have been directed towards investigating how environmental conditions can contribute to or detract from substance user's individual motivation to change behavior. Hurricane Katrina caused untold property damage and upheaval, in addition to the vast numbers of people whose lives it drastically affected. This article examines how surviving this ordeal, subsequent evacuation, and eventual resettlement in New Orleans or re-location to a different city (in this case, Houston) impacted individuals' motivation to change their substance use patterns and behaviors. This article's approach is grounded in the values of the social work profession and examines: 1) the role of life events in motivating change of substance using behaviors in the absence of formal treatment interventions; and 2) participant resilience in overcoming the adversities inherent to this disaster.

Agent planning in AgScala

Science.gov (United States)

Tošić, Saša; Mitrović, Dejan; Ivanović, Mirjana

2013-10-01

Agent-oriented programming languages are designed to simplify the development of software agents, especially those that exhibit complex, intelligent behavior. This paper presents recent improvements of AgScala, an agent-oriented programming language based on Scala. AgScala includes declarative constructs for managing beliefs, actions and goals of intelligent agents. Combined with object-oriented and functional programming paradigms offered by Scala, it aims to be an efficient framework for developing both purely reactive, and more complex, deliberate agents. Instead of the Prolog back-end used initially, the new version of AgScala relies on Agent Planning Package, a more advanced system for automated planning and reasoning.

Artificial agents learning human fairness

NARCIS (Netherlands)

Jong, de S.; Tuyls, K.P.; Verbeeck, K.; Padgham, xx; Parkes, xx

2008-01-01

Recent advances in technology allow multi-agent systems to be deployed in cooperation with or as a service for humans. Typically, those systems are designed assuming individually rational agents, according to the principles of classical game theory. However, research in the field of behavioral

New approaches in agent-based modeling of complex financial systems

Science.gov (United States)

Chen, Ting-Ting; Zheng, Bo; Li, Yan; Jiang, Xiong-Fei

2017-12-01

Agent-based modeling is a powerful simulation technique to understand the collective behavior and microscopic interaction in complex financial systems. Recently, the concept for determining the key parameters of agent-based models from empirical data instead of setting them artificially was suggested. We first review several agent-based models and the new approaches to determine the key model parameters from historical market data. Based on the agents' behaviors with heterogeneous personal preferences and interactions, these models are successful in explaining the microscopic origination of the temporal and spatial correlations of financial markets. We then present a novel paradigm combining big-data analysis with agent-based modeling. Specifically, from internet query and stock market data, we extract the information driving forces and develop an agent-based model to simulate the dynamic behaviors of complex financial systems.

The motivation to be sedentary predicts weight change when sedentary behaviors are reduced.

Science.gov (United States)

Epstein, Leonard H; Roemmich, James N; Cavanaugh, Meghan D; Paluch, Rocco A

2011-02-22

Obesity is correlated with a sedentary lifestyle, and the motivation to be active or sedentary is correlated with obesity. The present study tests the hypothesis that the motivation to be active or sedentary is correlated with weight change when children reduce their sedentary behavior. The motivation to be active or sedentary, changes in weight, and accelerometer assessed physical activity were collected for 55 families with overweight/obese children who participated in a nine-week field study to examine behavior and weight change as a function of reducing sedentary behavior. Children were studied in three 3-week phases, baseline, reduce targeted sedentary behaviors by 25% and reduce targeted sedentary behaviors by 50%. The targeted sedentary behaviors included television, video game playing, video watching, and computer use. The reinforcing value of sedentary behavior but not physical activity, was correlated with weight change, as losing weight was associated with lower reinforcing value of sedentary behaviors. Reducing sedentary behavior was not associated with a significant change in objectively measured physical activity, suggesting the main way in which reducing sedentary behavior influenced weight change is by complementary changes in energy intake. Estimated energy intake supported the hypothesis that reducing sedentary behaviors influences weight by reducing energy intake. These data show that the motivation to be sedentary limits the effects of reducing sedentary behavior on weight change in obese children. © 2011 Epstein et al; licensee BioMed Central Ltd.

The motivation to be sedentary predicts weight change when sedentary behaviors are reduced

Directory of Open Access Journals (Sweden)

Paluch Rocco A

2011-02-01

Full Text Available Abstract Background Obesity is correlated with a sedentary lifestyle, and the motivation to be active or sedentary is correlated with obesity. The present study tests the hypothesis that the motivation to be active or sedentary is correlated with weight change when children reduce their sedentary behavior. Methods The motivation to be active or sedentary, changes in weight, and accelerometer assessed physical activity were collected for 55 families with overweight/obese children who participated in a nine-week field study to examine behavior and weight change as a function of reducing sedentary behavior. Children were studied in three 3-week phases, baseline, reduce targeted sedentary behaviors by 25% and reduce targeted sedentary behaviors by 50%. The targeted sedentary behaviors included television, video game playing, video watching, and computer use. Results The reinforcing value of sedentary behavior but not physical activity, was correlated with weight change, as losing weight was associated with lower reinforcing value of sedentary behaviors. Reducing sedentary behavior was not associated with a significant change in objectively measured physical activity, suggesting the main way in which reducing sedentary behavior influenced weight change is by complementary changes in energy intake. Estimated energy intake supported the hypothesis that reducing sedentary behaviors influences weight by reducing energy intake. Conclusions These data show that the motivation to be sedentary limits the effects of reducing sedentary behavior on weight change in obese children. Trial registration ClinicalTrials.gov: NCT00962247

Agent-based modeling of autophagy reveals emergent regulatory behavior of spatio-temporal autophagy dynamics.

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Börlin, Christoph S; Lang, Verena; Hamacher-Brady, Anne; Brady, Nathan R

2014-09-10

Autophagy is a vesicle-mediated pathway for lysosomal degradation, essential under basal and stressed conditions. Various cellular components, including specific proteins, protein aggregates, organelles and intracellular pathogens, are targets for autophagic degradation. Thereby, autophagy controls numerous vital physiological and pathophysiological functions, including cell signaling, differentiation, turnover of cellular components and pathogen defense. Moreover, autophagy enables the cell to recycle cellular components to metabolic substrates, thereby permitting prolonged survival under low nutrient conditions. Due to the multi-faceted roles for autophagy in maintaining cellular and organismal homeostasis and responding to diverse stresses, malfunction of autophagy contributes to both chronic and acute pathologies. We applied a systems biology approach to improve the understanding of this complex cellular process of autophagy. All autophagy pathway vesicle activities, i.e. creation, movement, fusion and degradation, are highly dynamic, temporally and spatially, and under various forms of regulation. We therefore developed an agent-based model (ABM) to represent individual components of the autophagy pathway, subcellular vesicle dynamics and metabolic feedback with the cellular environment, thereby providing a framework to investigate spatio-temporal aspects of autophagy regulation and dynamic behavior. The rules defining our ABM were derived from literature and from high-resolution images of autophagy markers under basal and activated conditions. Key model parameters were fit with an iterative method using a genetic algorithm and a predefined fitness function. From this approach, we found that accurate prediction of spatio-temporal behavior required increasing model complexity by implementing functional integration of autophagy with the cellular nutrient state. The resulting model is able to reproduce short-term autophagic flux measurements (up to 3�

An Exploratory Study of the Butterfly Effect Using Agent-Based Modeling

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Khasawneh, Mahmoud T.; Zhang, Jun; Shearer, Nevan E. N.; Rodriquez-Velasquez, Elkin; Bowling, Shannon R.

2010-01-01

This paper provides insights about the behavior of chaotic complex systems, and the sensitive dependence of the system on the initial starting conditions. How much does a small change in the initial conditions of a complex system affect it in the long term? Do complex systems exhibit what is called the "Butterfly Effect"? This paper uses an agent-based modeling approach to address these questions. An existing model from NetLogo library was extended in order to compare chaotic complex systems with near-identical initial conditions. Results show that small changes in initial starting conditions can have a huge impact on the behavior of chaotic complex systems. The term the "butterfly effect" is attributed to the work of Edward Lorenz [1]. It is used to describe the sensitive dependence of the behavior of chaotic complex systems on the initial conditions of these systems. The metaphor refers to the notion that a butterfly flapping its wings somewhere may cause extreme changes in the ecological system's behavior in the future, such as a hurricane.

Can Big Pharma Behavior Change to Benefit Patients?

International Nuclear Information System (INIS)

Rosenberg, Saul; Chu, Gilbert

2005-01-01

Professors Rosenberg and Chu will discuss how the behavior of large pharmaceutical companies can sometimes compromise the needs of patients. The behavior includes strategies for lobbying Congress, exploiting patent law, targeting large consumer markets, creating demand from patients, and influencing physicians. In some cases, this behavior has created ethical and legal problems. The talk will conclude with a discussion of possible ways to encourage changes that will benefit patients.

The young and adolescents: Initiating change in children’s eating behavior

Science.gov (United States)

Limited success in existing interventions for initiating dietary behavior change among children is forcing a more detailed analysis of how to promote change. The mediating variable model provides a conceptual framework for understanding how behavior change interventions work and integrates more basi...

Determinants of intention to change health-related behavior and actual change in patients with TIA or minor ischemic stroke.

Science.gov (United States)

Brouwer-Goossensen, Dorien; Genugten, Lenneke van; Lingsma, Hester; Dippel, Diederik; Koudstaal, Peter; Hertog, Heleen den

2016-04-01

To assess determinants of intention to change health-related behavior and actual change in patients with TIA or ischemic stroke. In this prospective cohort study, 100 patients with TIA or minor ischemic stroke completed questionnaires on behavioral intention and sociocognitive factors including perception of severity, susceptibility, fear, response-efficacy and self-efficacy at baseline. Questionnaires on physical activity, diet and smoking were completed at baseline and at 3 months. Associations between sociocognitive factors and behavioral intention and actual change were studied with multivariable linear and logistic regression. Self-efficacy, response efficacy, and fear were independently associated with behavioral intention, with self-efficacy as the strongest determinant of intention to increase physical activity (aBeta 0.40; 95% CI 0.12-0.71), adapt a healthy diet (aBeta 0.49; 95% CI 0.23-0.75), and quit smoking (aBeta 0.51; 95% CI 0.13-0.88). Intention to change tended to be associated with actual health-related behavior change. Self-efficacy, fear, and response-efficacy were determinants of intention to change health-related behavior after TIA or ischemic stroke. These determinants of intention to change health-related behavior after TIA or ischemic stroke should be taken into account in the development of future interventions promoting health-related behavior change in these group of patients. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Confidence and the stock market: an agent-based approach.

Science.gov (United States)

Bertella, Mario A; Pires, Felipe R; Feng, Ling; Stanley, Harry Eugene

2014-01-01

Using a behavioral finance approach we study the impact of behavioral bias. We construct an artificial market consisting of fundamentalists and chartists to model the decision-making process of various agents. The agents differ in their strategies for evaluating stock prices, and exhibit differing memory lengths and confidence levels. When we increase the heterogeneity of the strategies used by the agents, in particular the memory lengths, we observe excess volatility and kurtosis, in agreement with real market fluctuations--indicating that agents in real-world financial markets exhibit widely differing memory lengths. We incorporate the behavioral traits of adaptive confidence and observe a positive correlation between average confidence and return rate, indicating that market sentiment is an important driver in price fluctuations. The introduction of market confidence increases price volatility, reflecting the negative effect of irrationality in market behavior.

Determining intervention thresholds that change output behavior patterns

NARCIS (Netherlands)

Walrave, B.

2016-01-01

This paper details a semi-automated method that can calculate intervention thresholds—that is, the minimum required intervention sizes, over a given time frame, that result in a desired change in a system’s output behavior pattern. The method exploits key differences in atomic behavior profiles that

An entropy-based analysis of lane changing behavior: An interactive approach.

Science.gov (United States)

Kosun, Caglar; Ozdemir, Serhan

2017-05-19

As a novelty, this article proposes the nonadditive entropy framework for the description of driver behaviors during lane changing. The authors also state that this entropy framework governs the lane changing behavior in traffic flow in accordance with the long-range vehicular interactions and traffic safety. The nonadditive entropy framework is the new generalized theory of thermostatistical mechanics. Vehicular interactions during lane changing are considered within this framework. The interactive approach for the lane changing behavior of the drivers is presented in the traffic flow scenarios presented in the article. According to the traffic flow scenarios, 4 categories of traffic flow and driver behaviors are obtained. Through the scenarios, comparative analyses of nonadditive and additive entropy domains are also provided. Two quadrants of the categories belong to the nonadditive entropy; the rest are involved in the additive entropy domain. Driving behaviors are extracted and the scenarios depict that nonadditivity matches safe driving well, whereas additivity corresponds to unsafe driving. Furthermore, the cooperative traffic system is considered in nonadditivity where the long-range interactions are present. However, the uncooperative traffic system falls into the additivity domain. The analyses also state that there would be possible traffic flow transitions among the quadrants. This article shows that lane changing behavior could be generalized as nonadditive, with additivity as a special case, based on the given traffic conditions. The nearest and close neighbor models are well within the conventional additive entropy framework. In this article, both the long-range vehicular interactions and safe driving behavior in traffic are handled in the nonadditive entropy domain. It is also inferred that the Tsallis entropy region would correspond to mandatory lane changing behavior, whereas additive and either the extensive or nonextensive entropy region would

An agent-based approach to model land-use change at a regional scale

NARCIS (Netherlands)

Valbuena, D.F.; Verburg, P.H.; Bregt, A.K.; Ligtenberg, A.

2010-01-01

Land-use/cover change (LUCC) is a complex process that includes actors and factors at different social and spatial levels. A common approach to analyse and simulate LUCC as the result of individual decisions is agent-based modelling (ABM). However, ABM is often applied to simulate processes at local

Applied behavior analysis: understanding and changing behavior in the community-a representative review.

Science.gov (United States)

Luyben, Paul D

2009-01-01

Applied behavior analysis, a psychological discipline, has been characterized as the science of behavior change (Chance, 2006). Research in applied behavior analysis has been published for approximately 40 years since the initial publication of the Journal of Applied Behavior Analysis in 1968. The field now encompasses a wide range of human behavior. Although much of the published research centers on problem behaviors that occur in schools and among people with disabilities, a substantial body of knowledge has emerged in community settings. This article provides a review of the behavioral community research published in the Journal of Applied Behavior Analysis as representative of this work, including research in the areas of home and family, health, safety, community involvement and the environment, recreation and sports, crime and delinquency, and organizations. In the interest of space, research in schools and with people with disabilities has been excluded from this review.

Effect of Silane Coupling Agent on the Creep Behavior and Mechanical Properties of Carbon Fibers/Acrylonitrile Butadiene Rubber Composites.

Science.gov (United States)

Choi, Woong-Ki; Park, Gil-Young; Kim, Byoung-Shuk; Seo, Min-Kang

2018-09-01

In this study, we investigated the effect of the silane coupling agent on the relationship between the surface free energy of carbon fibers (CFs) and the mechanical strength of CFs/acrylonitrile butadiene rubber (NBR) composites. Moreover, the creep behavior of the CF/NBR composites at surface energetic point of view were studied. The specific component of the surface free energy of the carbon fibers was found to increase upon grafting of the silane coupling agent, resulting in an increase in the tensile strength of the CF/NBR composites. On the other hand, the compressive creep strength was found to follow a slightly different trend. These results indicate the possible formation of a complex interpenetrating polymer network depending on the molecular size of the organic functional groups of the silane coupling agent.

Dissemination of Cultural Norms and Values: Agent-Based Modeling

Directory of Open Access Journals (Sweden)

Denis Andreevich Degterev

2016-12-01

Full Text Available This article shows how agent-based modeling allows us to explore the mechanisms of the dissemination of cultural norms and values both within one country and in the whole world. In recent years, this type of simulation is particularly prevalent in the analysis of international relations, becoming more popular than the system dynamics and discrete event simulation. The use of agent-based modeling in the analysis of international relations is connected with the agent-structure problem in international relations. Structure and agents act as interdependent and dynamically changing in the process of interaction between entities. Agent-structure interaction could be modeled by means of the theory of complex adaptive systems with the use of agent-based modeling techniques. One of the first examples of the use of agent-based modeling in political science is a model of racial segregation T. Shellinga. On the basis of this model, the author shows how the change in behavioral patterns at micro-level impacts on the macro-level. Patterns are changing due to the dynamics of cultural norms and values, formed by mass-media and other social institutes. The author shows the main areas of modern application of agent-based modeling in international studies including the analysis of ethnic conflicts, the formation of international coalitions. Particular attention is paid to Robert Axelrod approach based on the use of genetic algorithms to the spread of cultural norms and values. Agent-based modeling shows how to how to create such conditions that the norms that originally are not shared by a significant part of the population, eventually spread everywhere. Practical application of these algorithms is shown by the author of the article on the example of the situation in Ukraine in 2015-2016. The article also reveals the mechanisms of international spread of cultural norms and values. The main think-tanks using agent-based modeling in international studies are

BEHAVIOUR CHANGE AND COMMUNICATION : - a descriptive literature review of behavior change and communication in Sub-Saharan countries

OpenAIRE

Kauppi, Susanna

2015-01-01

ABSTRACT Susanna Kauppi. Behavior change and communication. Descriptive literature review. 63 pages 2 appendices. Language: English. Fall 2015. Diaconia University of Applied Sciences. Master’s Degree in Global Health Care. Degree: Master of Health Care. The great majority of the diseases are preventable and human behavior plays a central role in the prevention of disease and in the maintenance. By understanding behavior and barriers of behavior change as well as used communication chan...

Sudden behavior change in a cat.

Science.gov (United States)

Gelberg, H B

2013-11-01

A 5-year-old, spayed female, domestic short-haired cat had a 10-day history of sudden behavioral changes followed by seizures. Blood parameters were in the reference ranges, and radiographs failed to detect a mass lesion in the brain. Euthanasia was followed by rabies testing, which was negative. Gross lesions were absent. Histologic changes were present only in the brain and consisted of foci of hippocampal pyramidal cell loss, mild gliosis, pallor of the associated neuropil, and neovascularization.

Models of behavioral change and adaptation

NARCIS (Netherlands)

Rasouli, S.; Timmermans, H.J.P.; Zhang, J.

2017-01-01

This chapter explains and summarizes models of behavioral change and adaptation, which have received less application in the life choice analysis associated with urban policy. Related to various life choices, life trajectory events are major decisions with a relatively long-lasting impact, such as

Evolution of natural agents: preservation, advance, and emergence of functional information.

Science.gov (United States)

Sharov, Alexei A

2016-04-01

Biological evolution is often viewed narrowly as a change of morphology or allele frequency in a sequence of generations. Here I pursue an alternative informational concept of evolution, as preservation, advance, and emergence of functional information in natural agents. Functional information is a network of signs (e.g., memory, transient messengers, and external signs) that are used by agents to preserve and regulate their functions. Functional information is preserved in evolution via complex interplay of copying and construction processes: the digital components are copied, whereas interpreting subagents together with scaffolds, tools, and resources, are constructed. Some of these processes are simple and invariant, whereas others are complex and contextual. Advance of functional information includes improvement and modification of already existing functions. Although the genome information may change passively and randomly, the interpretation is active and guided by the logic of agent behavior and embryonic development. Emergence of new functions is based on the reinterpretation of already existing information, when old tools, resources, and control algorithms are adopted for novel functions. Evolution of functional information progressed from protosemiosis, where signs correspond directly to actions, to eusemiosis, where agents associate signs with objects. Language is the most advanced form of eusemiosis, where the knowledge of objects and models is communicated between agents.

An agent-based simulation of persistent inequalities in health behavior: Understanding the interdependent roles of segregation, clustering, and social influence.

Science.gov (United States)

Langellier, Brent A

2016-12-01

Health inequalities are conspicuously persistent through time and often durable even in spite of interventions. In this study, I use agent-based simulation models (ABMs) to understand how the complex interrelationships between residential segregation, social network formation, group-level preferences, and social influence may contribute to this persistence. I use a more-stylized ABM, Bubblegum Village (BV), to understand how initial inequalities in bubblegum-chewing behaviors either endure, increase, or decrease over time given group-level differences in preferences, neighborhood-level barriers or facilitators of bubblegum chewing (e.g., access to bubblegum shops), and agents' preferences for segregation, homophily, and clustering (i.e., the 'tightness' of social networks). I further use BV to understand whether segregation and social network characteristics impact whether the effects of a bubblegum-reduction intervention that is very effective in the short term are durable over time, as well as to identify intervention strategies to reduce attenuation of the intervention effects. In addition to BV, I also present results from an ABM based on the distribution and social characteristics of the population in Philadelphia, PA. This model explores similar questions to BV, but examines racial/ethnic inequalities in soda consumption based on agents' social characteristics and baseline soda consumption probabilities informed by the 2007-2010 National Health and Nutrition Examination Survey. Collectively, the models suggest that residential segregation is a fundamental process for the production and persistence of health inequalities. The other major conclusion of the study is that, for behaviors that are subject to social influence and that cluster within social groups, interventions that are randomly-targeted to individuals with 'bad' behaviors will likely experience a large degree of recidivism to pre-intervention behaviors. In contrast, interventions that target

Sustainable Change Sequence: a framework for developing behavior change interventions for patients with long-term conditions

OpenAIRE

Elwyn, Glyn; Marrin, Katy; Frosch, Dominick; White, James

2014-01-01

Objective\\ud \\ud Interactive interventions are increasingly advocated to support behavior change for patients who have long-term conditions. Such interventions are most likely to achieve behavior change when they are based on appropriate theoretical frameworks. Developers of interventions are faced with a diverse set of behavioral theories that do not specifically address intervention development. The aim of our work was to develop a framework to guide the developers of interactive healthcare...

An Agent-Based Dynamic Model of Politics, Fertility and Economic Development

Directory of Open Access Journals (Sweden)

Zining Yang

2016-08-01

Full Text Available In the political economy of development, government policy choices at a single point in time can dramatically affect a country's development path by impacting fertility, economic and political decisions across generations. Combining system dynamics and agent-based modeling approaches in a complex adaptive system, a simulation framework of the Politics of Fertility and Economic Development (POFED is formalized to understand the relationship between politics, economic, and demography change at both macro and micro levels. First, a new political capacity measurement is used; and the system dynamics model is validated with the latest data. Second, the endogenous attributes are fused with non-cooperative game theory in an agent-based framework to simulate the interactive political economic dynamics of individual intra-societal transactions. Finally, macro and micro levels are connected with policy levers of political capacity and political instability by merging system dynamics and agent-based components. This paper also explores the agent-based model's behavioral dynamics via simulation methods to identify paths towards economic development and political stability. This model demonstrates micro level human agency can act, react and interact, thus driving macro level dynamics, while macro structures provide political, social and economic environments that constrain or incentivize micro level human behavior.

Simulating the conversion of rural settlements to town land based on multi-agent systems and cellular automata.

Science.gov (United States)

Liu, Yaolin; Kong, Xuesong; Liu, Yanfang; Chen, Yiyun

2013-01-01

Rapid urbanization in China has triggered the conversion of land from rural to urban use, particularly the conversion of rural settlements to town land. This conversion is the result of the joint effects of the geographic environment and agents involving the government, investors, and farmers. To understand the dynamic interaction dominated by agents and to predict the future landscape of town expansion, a small town land-planning model is proposed based on the integration of multi-agent systems (MAS) and cellular automata (CA). The MAS-CA model links the decision-making behaviors of agents with the neighbor effect of CA. The interaction rules are projected by analyzing the preference conflicts among agents. To better illustrate the effects of the geographic environment, neighborhood, and agent behavior, a comparative analysis between the CA and MAS-CA models in three different towns is presented, revealing interesting patterns in terms of quantity, spatial characteristics, and the coordinating process. The simulation of rural settlements conversion to town land through modeling agent decision and human-environment interaction is very useful for understanding the mechanisms of rural-urban land-use change in developing countries. This process can assist town planners in formulating appropriate development plans.

Designing, Modeling and Evaluating Influence Strategiesfor Behavior Change Support Systems

NARCIS (Netherlands)

Öörni, Anssi; Kelders, Saskia Marion; van Gemert-Pijnen, Julia E.W.C.; Oinas-Kukkonen, Harri

2014-01-01

Behavior change support systems (BCSS) research is an evolving area. While the systems have been demonstrated to work to the effect, there is still a lot of work to be done to better understand the influence mechanisms of behavior change, and work out their influence on the systems architecture. The

Creating Lasting Behavioral Change through the Generalization Analysis Worksheet

Science.gov (United States)

Brady, John; Kotkin, Ron

2011-01-01

The goal of any behavioral program is to facilitate lasting change. A significant criticism of behavioral programs is that they work in the clinical setting but do not generalize once the clinical program is stopped. The authors suggest that behavioral programs often do not generalize because clinicians fail to plan for generalization to occur…

A Novel Framework for Characterizing Exposure-Related Behaviors Using Agent-Based Models Embedded with Needs-Based Artificial Intelligence (CSSSA2016)

Science.gov (United States)

Descriptions of where and how individuals spend their time are important for characterizing exposures to chemicals in consumer products and in indoor environments. Herein we create an agent-based model (ABM) that is able to simulate longitudinal patterns in behaviors. By basing o...

A chaotic view of behavior change: a quantum leap for health promotion.

Science.gov (United States)

Resnicow, Ken; Vaughan, Roger

2006-09-12

The study of health behavior change, including nutrition and physical activity behaviors, has been rooted in a cognitive-rational paradigm. Change is conceptualized as a linear, deterministic process where individuals weigh pros and cons, and at the point at which the benefits outweigh the cost change occurs. Consistent with this paradigm, the associated statistical models have almost exclusively assumed a linear relationship between psychosocial predictors and behavior. Such a perspective however, fails to account for non-linear, quantum influences on human thought and action. Consider why after years of false starts and failed attempts, a person succeeds at increasing their physical activity, eating healthier or losing weight. Or, why after years of success a person relapses. This paper discusses a competing view of health behavior change that was presented at the 2006 annual ISBNPA meeting in Boston. Rather than viewing behavior change from a linear perspective it can be viewed as a quantum event that can be understood through the lens of Chaos Theory and Complex Dynamic Systems. Key principles of Chaos Theory and Complex Dynamic Systems relevant to understanding health behavior change include: 1) Chaotic systems can be mathematically modeled but are nearly impossible to predict; 2) Chaotic systems are sensitive to initial conditions; 3) Complex Systems involve multiple component parts that interact in a nonlinear fashion; and 4) The results of Complex Systems are often greater than the sum of their parts. Accordingly, small changes in knowledge, attitude, efficacy, etc may dramatically alter motivation and behavioral outcomes. And the interaction of such variables can yield almost infinite potential patterns of motivation and behavior change. In the linear paradigm unaccounted for variance is generally relegated to the catch all "error" term, when in fact such "error" may represent the chaotic component of the process. The linear and chaotic paradigms are

Estrogenic control of behavioral sex change in the bluehead wrasse, Thalassoma bifasciatum.

Science.gov (United States)

Marsh-Hunkin, K Erica; Heinz, Heather M; Hawkins, M Beth; Godwin, John

2013-12-01

Estrogens activate male-typical sexual behavior in several mammalian and avian models. Estrogen signaling also appears critical in the control of sex change in some fishes, in which it is instead decreases in estradiol levels that may permit development of male-typical behaviors. The bluehead wrasse is a protogynous hermaphrodite that exhibits rapid increases in aggressive and male-typical courtship behavior as females undergo sex change. Removal of the ovaries does not prevent these changes. In two field experiments involving gonadally-intact and gonadectomized females, estradiol (E2) implants prevented behavioral sex change in large females who were made the largest members of their social groups through removals of more dominant fish. In contrast, cholesterol-implanted control females showed full behavioral sex change, along with a higher frequency both of aggressive interactions and of male-typical courtship displays than occurred in E2-implanted animals. To assess potential neural correlates of these behavioral effects of E2, we evaluated abundances of aromatase mRNA using in situ hybridization. Aromatase mRNA was more abundant in the POA of E2-implanted females than in cholesterol-implanted controls in gonadally-intact females. The lack of behavioral sex change coupled with increased levels of aromatase mRNA are consistent with an inhibitory role for E2, likely of neural origin, in regulating socially controlled sex change.

An Agent-Based Assessment of Land Use and Ecosystem Changes in Traditional Agricultural Landscape of Portugal

NARCIS (Netherlands)

Acosta, L.; Rounsevell, M.D.A.; Bakker, M.M.; Doorn, van A.M.; Gómez-Delgado, M.; Delgado, M.

2014-01-01

This paper presents an assessment of land use changes and their impacts on the ecosystem in the Montado, a traditional agricultural landscape of Portugal in response to global environmental change. The assessment uses an agent- based model (ABM) of the adaptive decisions of farmers to simulate the

Culturally Aware Agent Communication

DEFF Research Database (Denmark)

Rehm, Matthias; Nakano, Yukiko; Koda, Tomoko

2012-01-01

Agent based interaction in the form of Embodied Conversational Agents (ECAs) has matured over the last decade and agents have become more and more sophisticated in terms of their verbal and nonverbal behavior like facial expressions or gestures. Having such “natural” communication channels...... available for expressing not only task-relevant but also socially and psychologically relevant information makes it necessary to take influences into account that are not readily implemented like emotions or cultural heuristics. These influences have a huge impact on the success of an interaction...

Climate Change and the Representative Agent

Energy Technology Data Exchange (ETDEWEB)

Howarth, R.B. [Environmental Studies Program, Dartmouth College, Hanover, New Hampshire 03755 (United States)

2000-02-01

The artifice of an infinitely-lived representative agent is commonly invoked to balance the present costs and future benefits of climate stabilization policies. Since actual economies are populated by overlapping generations of finite-lived persons, this approach begs important questions of welfare aggregation. This paper compares the results of representative agent and overlapping generations models that are numerically calibrated based on standard assumptions regarding climate economy interactions. Under two social choice rules - Pareto efficiency and classical utilitarianism - the models generate closely similar simulation results. In the absence of policies to redistribute income between present and future generations, efficient rates of carbon dioxide emissions abatement rise from 15 to 20% between the years 2000 and 2105. Under classical utilitarianism, in contrast, optimal control rates rise from 48 to 79% this same period. 23 refs.

The EMO-Model: An Agent-Based Model of Primate Social Behavior Regulated by Two Emotional Dimensions, Anxiety-FEAR and Satisfaction-LIKE

Science.gov (United States)

Evers, Ellen; de Vries, Han; Spruijt, Berry M.; Sterck, Elisabeth H. M.

2014-01-01

Agent-based models provide a promising tool to investigate the relationship between individuals’ behavior and emerging group-level patterns. An individual’s behavior may be regulated by its emotional state and its interaction history with specific individuals. Emotional bookkeeping is a candidate mechanism to keep track of received benefits from specific individuals without requiring high cognitive abilities. However, how this mechanism may work is difficult to study in real animals, due to the complexity of primate social life. To explore this theoretically, we introduce an agent-based model, dubbed EMO-model, in which we implemented emotional bookkeeping. In this model the social behaviors of primate-like individuals are regulated by emotional processes along two dimensions. An individual’s emotional state is described by an aversive and a pleasant dimension (anxiety and satisfaction) and by its activating quality (arousal). Social behaviors affect the individuals’ emotional state. To implement emotional bookkeeping, the receiver of grooming assigns an accumulated affiliative attitude (LIKE) to the groomer. Fixed partner-specific agonistic attitudes (FEAR) reflect the stable dominance relations between group members. While the emotional state affects an individual’s general probability of executing certain behaviors, LIKE and FEAR affect the individual’s partner-specific behavioral probabilities. In this way, emotional processes regulate both spontaneous behaviors and appropriate responses to received behaviors, while emotional bookkeeping via LIKE attitudes regulates the development and maintenance of affiliative relations. Using an array of empirical data, the model processes were substantiated and the emerging model patterns were partially validated. The EMO-model offers a framework to investigate the emotional bookkeeping hypothesis theoretically and pinpoints gaps that need to be investigated empirically. PMID:24504194

Integrated Theory of Health Behavior Change: Background and Intervention Development

OpenAIRE

RYAN, POLLY

2009-01-01

An essential characteristic of advanced practice nurses is the use of theory in practice. Clinical nurse specialists apply theory in providing or directing patient care, in their work as consultants to staff nurses, and as leaders influencing and facilitating system change. Knowledge of technology and pharmacology has far outpaced knowledge of how to facilitate health behavior change, and new theories are needed to better understand how practitioners can facilitate health behavior change. In ...

Sharing Histories-a transformative learning/teaching method to empower community health workers to support health behavior change of mothers.

Science.gov (United States)

Altobelli, Laura C

2017-08-23

One of the keys to improving health globally is promoting mothers' adoption of healthy home practices for improved nutrition and illness prevention in the first 1000 days of life from conception. Customarily, mothers are taught health messages which, even if simplified, are hard to remember. The challenge is how to promote learning and behavior change of mothers more effectively in low-resource settings where access to health information is poor, educational levels are low, and traditional beliefs are strong. In addressing that challenge, a new learning/teaching method called "Sharing Histories" is in development to improve the performance of female community health workers (CHWs) in promoting mothers' behaviors for maternal, neonatal and child health (MNCH). This method builds self-confidence and empowerment of CHWs in learning sessions that are built on guided sharing of their own memories of childbearing and child care. CHWs can later share histories with the mother, building her trust and empowerment to change. For professional primary health care staff who are not educators, Sharing Histories is simple to learn and use so that the method can be easily incorporated into government health systems and ongoing CHW programs. I present here the Sharing Histories method, describe how it differs from other social and behavior change methods, and discuss selected literature from psychology, communications, and neuroscience that helps to explain how and why this method works as a transformative tool to engage, teach, transform, and empower CHWs to be more effective change agents with other mothers in their communities, thereby contributing to the attainment of the Sustainable Development Goals.

Data Provenance for Agent-Based Models in a Distributed Memory

Directory of Open Access Journals (Sweden)

Delmar B. Davis

2018-04-01

Full Text Available Agent-Based Models (ABMs assist with studying emergent collective behavior of individual entities in social, biological, economic, network, and physical systems. Data provenance can support ABM by explaining individual agent behavior. However, there is no provenance support for ABMs in a distributed setting. The Multi-Agent Spatial Simulation (MASS library provides a framework for simulating ABMs at fine granularity, where agents and spatial data are shared application resources in a distributed memory. We introduce a novel approach to capture ABM provenance in a distributed memory, called ProvMASS. We evaluate our technique with traditional data provenance queries and performance measures. Our results indicate that a configurable approach can capture provenance that explains coordination of distributed shared resources, simulation logic, and agent behavior while limiting performance overhead. We also show the ability to support practical analyses (e.g., agent tracking and storage requirements for different capture configurations.

CATS-based Air Traffic Controller Agents

Science.gov (United States)

Callantine, Todd J.

2002-01-01

This report describes intelligent agents that function as air traffic controllers. Each agent controls traffic in a single sector in real time; agents controlling traffic in adjoining sectors can coordinate to manage an arrival flow across a given meter fix. The purpose of this research is threefold. First, it seeks to study the design of agents for controlling complex systems. In particular, it investigates agent planning and reactive control functionality in a dynamic environment in which a variety perceptual and decision making skills play a central role. It examines how heuristic rules can be applied to model planning and decision making skills, rather than attempting to apply optimization methods. Thus, the research attempts to develop intelligent agents that provide an approximation of human air traffic controller behavior that, while not based on an explicit cognitive model, does produce task performance consistent with the way human air traffic controllers operate. Second, this research sought to extend previous research on using the Crew Activity Tracking System (CATS) as the basis for intelligent agents. The agents use a high-level model of air traffic controller activities to structure the control task. To execute an activity in the CATS model, according to the current task context, the agents reference a 'skill library' and 'control rules' that in turn execute the pattern recognition, planning, and decision-making required to perform the activity. Applying the skills enables the agents to modify their representation of the current control situation (i.e., the 'flick' or 'picture'). The updated representation supports the next activity in a cycle of action that, taken as a whole, simulates air traffic controller behavior. A third, practical motivation for this research is to use intelligent agents to support evaluation of new air traffic control (ATC) methods to support new Air Traffic Management (ATM) concepts. Current approaches that use large, human

Self-Concept Change in Behavior Modification

Science.gov (United States)

Ryan, Victor L.; And Others

1976-01-01

Changes in self-concept as a function of behavioral treatment for test anxiety are investigated. Test-anxious subjects (N=72) were randomly assigned to systematic desensitization, relaxation-training only, or no-treatment control conditions. Results indicate that the desensitization and relaxation treatments were both effective in reducing test…

Islamic Religious Leaders in Israel as Social Agents for Change on Health-Related Issues.

Science.gov (United States)

Cohen-Dar, Michal; Obeid, Samira

2017-12-01

Islamic religious leaders (IRLs) have the potential to influence health education, health promotion, and positive health outcomes among their own communities. This study aims to examine the role and effectiveness of Arab Muslim religious leaders, in Israel, as social agents for change on health-related issues, focusing on reduction in infant mortality, prematurity, and congenital malformations attributed to consanguineous marriage. A self-administrated questionnaire was distributed to 127 IRLs, in 2012, to gain insights into practice, attitudes, and perceptions of IRLs toward their role as social agents for change on health-related issues. The results indicate that two-thirds (58%) of the surveyed IRLs have provided frequent advice on issues related to preventing infant mortality, congenital malformation, and prematurity over the past two years. Most IRLs indicated that they have keen interest in their communities' health matters (97%) and regard dealing with them as part of their job (85%). The study identified three enabling factors that had significant influence on the IRLs' attitude. These influences are: awareness and knowledge of the health issues, the perception that these issues and their impact on the community are part of their responsibility, and the empowerment they felt through the participation in the Ministry of Health (Northern Region Health Office) educational seminar series, in the year 2000. The main conclusion from this study indicates that IRLs are effective social agents for change and that the educational interventions can be a useful and effective strategy to encourage IRLs to cooperate with health providers and promote public health among their own communities.

Human behavioral contributions to climate change: psychological and contextual drivers.

Science.gov (United States)

Swim, Janet K; Clayton, Susan; Howard, George S

2011-01-01

We are facing rapid changes in the global climate, and these changes are attributable to human behavior. Humans produce this global impact through our use of natural resources, multiplied by the vast increase in population seen in the past 50 to 100 years. Our goal in this article is to examine the underlying psychosocial causes of human impact, primarily through patterns of reproduction and consumption. We identify and distinguish individual, societal, and behavioral predictors of environmental impact. Relevant research in these areas (as well as areas that would be aided by greater attention by psychologists) are reviewed. We conclude by highlighting ethical issues that emerge when considering how to address human behavioral contributions to climate change.

Changes in fire weather distributions: effects on predicted fire behavior

Science.gov (United States)

Lucy A. Salazar; Larry S. Bradshaw

1984-01-01

Data that represent average worst fire weather for a particular area are used to index daily fire danger; however, they do not account for different locations or diurnal weather changes that significantly affect fire behavior potential. To study the effects that selected changes in weather databases have on computed fire behavior parameters, weather data for the...

Improving hand hygiene compliance in healthcare settings using behavior change theories: reflections.

Science.gov (United States)

Al-Tawfiq, Jaffar A; Pittet, Didier

2013-01-01

Although hand hygiene is the most effective method for preventing healthcare-associated infections, hand hygiene practice falls short in many healthcare facilities. The compliance rate is mostly linked to system design and easily accessible hand hygiene products. System change, healthcare worker motivation, and complex behavioral considerations seem to play a significant role. This article discusses the application of behavioral theories in hand hygiene promotion in a theoretical manner. The program relies on the transtheoretical model (TTM) of health behavior change, John Keller's (ARCS) Model of Motivational Design, and the theory of planned behavior (TPB). Thus, the program links attitudes and behavior to hand hygiene promotion. The TTM of health behavior change helps to tailor interventions to predict and motivate individual movement across the pathway to change. A program could be based on this theory with multiple intercalations with John Keller's ARCS and the TPB. Such a program could be strengthened by linking attitudes and behavior to promote hand hygiene. The program could utilize different strategies such as organization cultural change that may increase the attention as well as fostering the movement in the ARCS stages. In addition, modeling TPB by creating peer pressure, ability to overcome obstacles, and increasing knowledge of the role of hand hygiene may lead to the desired outcome. The understanding and application of behavior change theories may result in an effective program to improve awareness and raise intention and thus may increase the potential for success of hand hygiene promotion programs.

Do you get it? User-evaluated explainable BDI agents

NARCIS (Netherlands)

Broekens, J.; Harbers, M.; Hindriks, K.; Bosch, K. van den; Jonker, C.; Meyer, J.J.C.

2010-01-01

In this paper we focus on explaining to humans the behavior of autonomous agents, i.e., explainable agents. Explainable agents are useful for many reasons including scenario-based training (e.g. disaster training), tutor and pedagogical systems, agent development and debugging, gaming, and

The Science of Sustaining Health Behavior Change: The Health Maintenance Consortium

Science.gov (United States)

Ory, Marcia G.; Smith, Matthew Lee; Mier, Nelda; Wernicke, Meghan M.

2013-01-01

Objective The Health Maintenance Consortium (HMC) is a multisite Grantee Consortium funded by the National Institutes of Health from 2004–2009. The goal of HMC is to enhance understanding of the long-term maintenance of behavior change, as well as effective strategies for achieving sustainable health promotion and disease prevention. Methods This introductory research synthesis prepared by the Resource Center gives context to this theme issue by providing an overview of the HMC and the articles in this journal. Results It explores the contributions to our conceptualization of behavior change processes and intervention strategies, the trajectory of effectiveness of behavioral and social interventions, and factors influencing the long-term maintenance of behavioral and social interventions. Conclusions Future directions for furthering the science of maintaining behavior change and reducing the gaps between research and practice are recommended. PMID:20604691

Influences of tourism public policies on transactions amongsts agents: an ect based analysis

Directory of Open Access Journals (Sweden)

Bruno Martins Augusto Gomes

2007-12-01

Full Text Available Brazilian national tourism policies have relied on local agency, which had been formerly used in Minas Gerais state through the Tourist Circuits Policy. Being that new policies cause changes in relations among agents, this paper aims to identify the influence of the Tourist Circuits Policy in agents´ behavior as well as in financial transactions. Research assessed that Tourist Circuits Policy created a government structure that favored easier and more frequent relations among agents, reduced uncertainty, opportunism and the possibility of investments to be lost. As a result, researchers believe that Tourist Circuits Policy has been a contributor for the lowering of transactions costs, even though some adjustments are still needed.

A chaotic view of behavior change: a quantum leap for health promotion

Directory of Open Access Journals (Sweden)

Vaughan Roger

2006-09-01

Full Text Available Abstract Background The study of health behavior change, including nutrition and physical activity behaviors, has been rooted in a cognitive-rational paradigm. Change is conceptualized as a linear, deterministic process where individuals weigh pros and cons, and at the point at which the benefits outweigh the cost change occurs. Consistent with this paradigm, the associated statistical models have almost exclusively assumed a linear relationship between psychosocial predictors and behavior. Such a perspective however, fails to account for non-linear, quantum influences on human thought and action. Consider why after years of false starts and failed attempts, a person succeeds at increasing their physical activity, eating healthier or losing weight. Or, why after years of success a person relapses. This paper discusses a competing view of health behavior change that was presented at the 2006 annual ISBNPA meeting in Boston. Discussion Rather than viewing behavior change from a linear perspective it can be viewed as a quantum event that can be understood through the lens of Chaos Theory and Complex Dynamic Systems. Key principles of Chaos Theory and Complex Dynamic Systems relevant to understanding health behavior change include: 1 Chaotic systems can be mathematically modeled but are nearly impossible to predict; 2 Chaotic systems are sensitive to initial conditions; 3 Complex Systems involve multiple component parts that interact in a nonlinear fashion; and 4 The results of Complex Systems are often greater than the sum of their parts. Accordingly, small changes in knowledge, attitude, efficacy, etc may dramatically alter motivation and behavioral outcomes. And the interaction of such variables can yield almost infinite potential patterns of motivation and behavior change. In the linear paradigm unaccounted for variance is generally relegated to the catch all "error" term, when in fact such "error" may represent the chaotic component of the

A chaotic view of behavior change: a quantum leap for health promotion

OpenAIRE

Resnicow, Ken; Vaughan, Roger

2006-01-01

Abstract Background The study of health behavior change, including nutrition and physical activity behaviors, has been rooted in a cognitive-rational paradigm. Change is conceptualized as a linear, deterministic process where individuals weigh pros and cons, and at the point at which the benefits outweigh the cost change occurs. Consistent with this paradigm, the associated statistical models have almost exclusively assumed a linear relationship between psychosocial predictors and behavior. S...

Integrating macro and micro scale approaches in the agent-based modeling of residential dynamics

Science.gov (United States)

Saeedi, Sara

2018-06-01

With the advancement of computational modeling and simulation (M&S) methods as well as data collection technologies, urban dynamics modeling substantially improved over the last several decades. The complex urban dynamics processes are most effectively modeled not at the macro-scale, but following a bottom-up approach, by simulating the decisions of individual entities, or residents. Agent-based modeling (ABM) provides the key to a dynamic M&S framework that is able to integrate socioeconomic with environmental models, and to operate at both micro and macro geographical scales. In this study, a multi-agent system is proposed to simulate residential dynamics by considering spatiotemporal land use changes. In the proposed ABM, macro-scale land use change prediction is modeled by Artificial Neural Network (ANN) and deployed as the agent environment and micro-scale residential dynamics behaviors autonomously implemented by household agents. These two levels of simulation interacted and jointly promoted urbanization process in an urban area of Tehran city in Iran. The model simulates the behavior of individual households in finding ideal locations to dwell. The household agents are divided into three main groups based on their income rank and they are further classified into different categories based on a number of attributes. These attributes determine the households' preferences for finding new dwellings and change with time. The ABM environment is represented by a land-use map in which the properties of the land parcels change dynamically over the simulation time. The outputs of this model are a set of maps showing the pattern of different groups of households in the city. These patterns can be used by city planners to find optimum locations for building new residential units or adding new services to the city. The simulation results show that combining macro- and micro-level simulation can give full play to the potential of the ABM to understand the driving

From multicultural agents to culture‐aware robots

DEFF Research Database (Denmark)

Rehm, Matthias

2013-01-01

In previous research we showed how a cross‐cultural multimodal corpus of human face to face interactions can serve as empirical foundation for implementing multicultural agents (e.g. Rehm et al. 2009). To this end, the corpus has been annotated in relation to a number of communicative phenomena...... of the system have to create the behavior themselves, allowing us to collect a cross‐cultural database of behavioral parameters for the robotic system under development. This reduces any subjective or cultural bias that was previously introduced. Instead, the cross‐cultural database of behavioral parameters......, there have always been some discomforts about it due to the following reasons: - Subjectivity of the annotation - Cultural bias of the annotation and the implementation/design of the agents - Applicability of results to agents (they might represent a culture of their own) Meanwhile, we have moved to physical...

Hemiballismus, Hyperphagia, and Behavioral Changes following Subthalamic Infarct

Directory of Open Access Journals (Sweden)

Masoud Etemadifar

2012-01-01

Full Text Available The function of subthalamic nucleus (STN which is a part of the basal ganglia system is not clear, but it is hypothesized that this component might be involved in action selection. Unilateral damage to STN, which can commonly occur due to the small vessel stroke mainly, causes hemiballismus and sometimes hemichorea-hemiballismus. This paper deals with a 60-year-old patient with sudden onset of abnormal movements in his right limbs. He had increased appetite and hyperphagia and also developed mood and behavioral changes (aggressiveness, irritability, anxiety, and sometimes obscene speech. The magnetic resonance imaging revealed infarct area in left subthalamus. In our case, hemiballismus is caused by infarction in left subthalamic area. Occurrence of irritability, anxiety, and some behavioral changes such as aggressiveness and obscene speech can be explained by impairment of STN role in nonmotor behavior and cognitive function as a result of infarct.

Common Genetic Risk for Melanoma Encourages Preventive Behavior Change

Directory of Open Access Journals (Sweden)

Lori Diseati

2015-02-01

Full Text Available There is currently great interest in using genetic risk estimates for common disease in personalized healthcare. Here we assess melanoma risk-related preventive behavioral change in the context of the Coriell Personalized Medicine Collaborative (CPMC. As part of on-going reporting activities within the project, participants received a personalized risk assessment including information related to their own self-reported family history of melanoma and a genetic risk variant showing a moderate effect size (1.7, 3.0 respectively for heterozygous and homozygous individuals. Participants who opted to view their report were sent an optional outcome survey assessing risk perception and behavioral change in the months that followed. Participants that report family history risk, genetic risk, or both risk factors for melanoma were significantly more likely to increase skin cancer preventive behaviors when compared to participants with neither risk factor (ORs = 2.04, 2.79, 4.06 and p-values = 0.02, 2.86 × 10−5, 4.67 × 10−5, respectively, and we found the relationship between risk information and behavior to be partially mediated by anxiety. Genomic risk assessments appear to encourage positive behavioral change in a manner that is complementary to family history risk information and therefore may represent a useful addition to standard of care for melanoma prevention.

Vivid agents : theory, architecture, and applications

NARCIS (Netherlands)

Schroeder, M.; Wagner, G.R.

2000-01-01

Vivid agents (Wagner, 1996) are software-controlled systems whose state comprises the mental components of knowledge, perceptions, tasks, and intentions, and whose behavior is represented by means of action and reaction rules. An execution model for vivid agents is presented, which is based on an

Climate change helplessness and the (de)moralization of individual energy behavior

OpenAIRE

Salomon, Erika; Preston, Jesse; Tannenbaum, Melanie B.

2017-01-01

Although most people understand the threat of climate change, they do little to modify their own energy conservation behavior. One reason for this gap between belief and behavior may be that individual actions seem un-impactful and therefore are not morally relevant. This research investigates how climate change helplessness—belief that one’s actions cannot affect climate change—can undermine the moralization of climate change and personal energy conservation. In Study 1, climate change effic...

A Lookahead Behavior Model for Multi-Agent Hybrid Simulation

Directory of Open Access Journals (Sweden)

Mei Yang

2017-10-01

Full Text Available In the military field, multi-agent simulation (MAS plays an important role in studying wars statistically. For a military simulation system, which involves large-scale entities and generates a very large number of interactions during the runtime, the issue of how to improve the running efficiency is of great concern for researchers. Current solutions mainly use hybrid simulation to gain fewer updates and synchronizations, where some important continuous models are maintained implicitly to keep the system dynamics, and partial resynchronization (PR is chosen as the preferable state update mechanism. However, problems, such as resynchronization interval selection and cyclic dependency, remain unsolved in PR, which easily lead to low update efficiency and infinite looping of the state update process. To address these problems, this paper proposes a lookahead behavior model (LBM to implement a PR-based hybrid simulation. In LBM, a minimal safe time window is used to predict the interactions between implicit models, upon which the resynchronization interval can be efficiently determined. Moreover, the LBM gives an estimated state value in the lookahead process so as to break the state-dependent cycle. The simulation results show that, compared with traditional mechanisms, LBM requires fewer updates and synchronizations.

Which Individual Therapist Behaviors Elicit Client Change Talk and Sustain Talk in Motivational Interviewing?

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Apodaca, Timothy R; Jackson, Kristina M; Borsari, Brian; Magill, Molly; Longabaugh, Richard; Mastroleo, Nadine R; Barnett, Nancy P

2016-02-01

To identify individual therapist behaviors which elicit client change talk or sustain talk in motivational interviewing sessions. Motivational interviewing sessions from a single-session alcohol intervention delivered to college students were audio-taped, transcribed, and coded using the Motivational Interviewing Skill Code (MISC), a therapy process coding system. Participants included 92 college students and eight therapists who provided their treatment. The MISC was used to code 17 therapist behaviors related to the use of motivational interviewing, and client language reflecting movement toward behavior change (change talk), away from behavior change (sustain talk), or unrelated to the target behavior (follow/neutral). Client change talk was significantly more likely to immediately follow individual therapist behaviors [affirm (p=.013), open question (pmotivational interviewing can either elicit both client change talk and sustain talk or suppress both types of client language. Affirm was the only therapist behavior that both increased change talk and also reduced sustain talk. Copyright © 2015 Elsevier Inc. All rights reserved.

Constructing Agent Model for Virtual Training Systems

Science.gov (United States)

Murakami, Yohei; Sugimoto, Yuki; Ishida, Toru

Constructing highly realistic agents is essential if agents are to be employed in virtual training systems. In training for collaboration based on face-to-face interaction, the generation of emotional expressions is one key. In training for guidance based on one-to-many interaction such as direction giving for evacuations, emotional expressions must be supplemented by diverse agent behaviors to make the training realistic. To reproduce diverse behavior, we characterize agents by using a various combinations of operation rules instantiated by the user operating the agent. To accomplish this goal, we introduce a user modeling method based on participatory simulations. These simulations enable us to acquire information observed by each user in the simulation and the operating history. Using these data and the domain knowledge including known operation rules, we can generate an explanation for each behavior. Moreover, the application of hypothetical reasoning, which offers consistent selection of hypotheses, to the generation of explanations allows us to use otherwise incompatible operation rules as domain knowledge. In order to validate the proposed modeling method, we apply it to the acquisition of an evacuee's model in a fire-drill experiment. We successfully acquire a subject's model corresponding to the results of an interview with the subject.

Behavioral hypothermia of a domesticated lizard under treatment of the hypometabolic agent 3-iodothyronamine.

Science.gov (United States)

Ha, Kyoungbong; Shin, Haksup; Ju, Hyunwoo; Chung, Chan-Moon; Choi, Inho

2017-05-03

Ectothermic animals rely on behavioral thermoregulation due to low capacity of heat production and storage. Previously, lizards were shown to achieve 'fever' during microbial infection by increasing their preferred body temperature (PBT) behaviorally, thereby attaining a relatively high survival rate. The purpose of this study was to investigate whether domesticated lizards pursued 'behavioral hypothermia' induced by a hypometabolic agent 3-iodothyronamine (T1AM). We found that treatment with 8.0 mg/kg T1AM caused a lizard species, the leopard gecko (Eublepharis macularius), to decrease its ventilation and oxygen consumption rates 0.64- and 0.76-fold, respectively, compared to those of the control (P<0.05). The lizards, habituated at an ambient temperature of 30 ± 0.5°C, also showed a significant decrease in the PBT range over a freely accessible thermal gradient between 5°C and 45°C. The upper limit of the PBT in the treated lizards lowered from 31.9°C to 30.6°C, and the lower limit from 29.5°C to 26.3°C (P<0.001). These findings demonstrate that the treated lizards pursued behavioral hypothermia in conjunction with hypoventilation and hypometabolism. Because prior studies reported a similar hypometabolic response in T1AM-injected laboratory mice, the domesticated lizards, as a part of the vertebrate phylogeny, may be a useful laboratory model for biological and pharmacological researches such as drug potency test.

Translational behavioral medicine for population and individual health: gaps, opportunities, and vision for practice-based translational behavior change research.

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Ma, Jun; Lewis, Megan A; Smyth, Joshua M

2018-04-12

In this commentary, we propose a vision for "practice-based translational behavior change research," which we define as clinical and public health practice-embedded research on the implementation, optimization, and fundamental mechanisms of behavioral interventions. This vision intends to be inclusive of important research elements for behavioral intervention development, testing, and implementation. We discuss important research gaps and conceptual and methodological advances in three key areas along the discovery (development) to delivery (implementation) continuum of evidence-based interventions to improve behavior and health that could help achieve our vision of practice-based translational behavior change research. We expect our proposed vision to be refined and evolve over time. Through highlighting critical gaps that can be addressed by integrating modern theoretical and methodological approaches across disciplines in behavioral medicine, we hope to inspire the development and funding of innovative research on more potent and implementable behavior change interventions for optimal population and individual health.

Agent-based Simulation of the Maritime Domain

Directory of Open Access Journals (Sweden)

O. Vaněk

2010-01-01

Full Text Available In this paper, a multi-agent based simulation platform is introduced that focuses on legitimate and illegitimate aspects of maritime traffic, mainly on intercontinental transport through piracy afflicted areas. The extensible architecture presented here comprises several modules controlling the simulation and the life-cycle of the agents, analyzing the simulation output and visualizing the entire simulated domain. The simulation control module is initialized by various configuration scenarios to simulate various real-world situations, such as a pirate ambush, coordinated transit through a transport corridor, or coastal fishing and local traffic. The environmental model provides a rich set of inputs for agents that use the geo-spatial data and the vessel operational characteristics for their reasoning. The agent behavior model based on finite state machines together with planning algorithms allows complex expression of agent behavior, so the resulting simulation output can serve as a substitution for real world data from the maritime domain.

Challenges of implementing routine health behavior change support in a children's hospital setting.

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Elwell, Laura; Powell, Jane; Wordsworth, Sharon; Cummins, Carole

2014-07-01

Evidence indicates that health behavior change initiatives are often not implemented successfully. This qualitative study aims to understand the barriers and facilitators to implementation of health behavior change brief advice into routine practice in an acute children's hospital setting. Semi-structured interviews were conducted with health professionals working at a UK children's hospital (n=33). Participants were purposively sampled to incorporate a range of specialties, job roles and training. An inductive thematic framework analysis identified two emergent themes. These capture the challenges of implementing routine health behavior change support in a children's hospital setting: (1) 'health professional knowledge, beliefs and behaviors' and (2) 'patient and family related challenges'. This study enhances findings from previous research by outlining the challenges pediatric health professionals face in relation to supporting health behavior change. Challenges include failure to assume responsibility, low confidence, prioritization of the health provider relationship with patients and families, health provider and patient knowledge, and low patient and family motivation. Skills-based behavior change training is needed for pediatric health professionals to effectively support health behavior change. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change.

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Direito, Artur; Walsh, Deirdre; Hinbarji, Moohamad; Albatal, Rami; Tooley, Mark; Whittaker, Robyn; Maddison, Ralph

2018-06-01

Few interventions to promote physical activity (PA) adapt dynamically to changes in individuals' behavior. Interventions targeting determinants of behavior are linked with increased effectiveness and should reflect changes in behavior over time. This article describes the application of two frameworks to assist the development of an adaptive evidence-based smartphone-delivered intervention aimed at influencing PA and sedentary behaviors (SB). Intervention mapping was used to identify the determinants influencing uptake of PA and optimal behavior change techniques (BCTs). Behavioral intervention technology was used to translate and operationalize the BCTs and its modes of delivery. The intervention was based on the integrated behavior change model, focused on nine determinants, consisted of 33 BCTs, and included three main components: (1) automated capture of daily PA and SB via an existing smartphone application, (2) classification of the individual into an activity profile according to their PA and SB, and (3) behavior change content delivery in a dynamic fashion via a proof-of-concept application. This article illustrates how two complementary frameworks can be used to guide the development of a mobile health behavior change program. This approach can guide the development of future mHealth programs.

Contrast agents for cardiac angiography: effects of a nonionic agent vs. a standard ionic agent

International Nuclear Information System (INIS)

Bettmann, M.A.; Bourdillon, P.D.; Barry, W.H.; Brush, K.A.; Levin, D.C.

1984-01-01

The effects on cardiac hemodynamics and of a standard contrast agent, sodium methylglucamine diatrizoate [Renografin 76] were compared with the effects of a new nonionic agent (iohexol) in a double-blind study in 51 patietns undergoing coronary angiography and left ventriculography. No significant alteration in measured blood parameters occurred with either contrast agent. Hemodynamic changes occurred with both, but were significantly greater with the standard renografin than with the low-osmolality, nonionic iohexol. After left ventriculography, heart rate increased and peripheral arterial pressure fell with both agents, but less with iohexol. It is concluded that iohexol causes less alteration in cardiac function than does the agent currently most widely used. Nonionic contrast material is likely to improve the safety of coronary angiography, particularly in those patients at greatest risk

Simulating the Conversion of Rural Settlements to Town Land Based on Multi-Agent Systems and Cellular Automata

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Liu, Yaolin; Kong, Xuesong; Liu, Yanfang; Chen, Yiyun

2013-01-01

Rapid urbanization in China has triggered the conversion of land from rural to urban use, particularly the conversion of rural settlements to town land. This conversion is the result of the joint effects of the geographic environment and agents involving the government, investors, and farmers. To understand the dynamic interaction dominated by agents and to predict the future landscape of town expansion, a small town land-planning model is proposed based on the integration of multi-agent systems (MAS) and cellular automata (CA). The MAS-CA model links the decision-making behaviors of agents with the neighbor effect of CA. The interaction rules are projected by analyzing the preference conflicts among agents. To better illustrate the effects of the geographic environment, neighborhood, and agent behavior, a comparative analysis between the CA and MAS-CA models in three different towns is presented, revealing interesting patterns in terms of quantity, spatial characteristics, and the coordinating process. The simulation of rural settlements conversion to town land through modeling agent decision and human-environment interaction is very useful for understanding the mechanisms of rural-urban land-use change in developing countries. This process can assist town planners in formulating appropriate development plans. PMID:24244472

How Has Applied Behavior Analysis and Behavior Therapy Changed?: An Historical Analysis of Journals

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O'Donohue, William; Fryling, Mitch

2007-01-01

Applied behavior analysis and behavior therapy are now nearly a half century old. It is interesting to ask if and how these disciplines have changed over time, particularly regarding some of their key internal controversies (e.g., role of cognitions). We examined the first five years and the 2000-2004 five year period of the "Journal of Applied…

Human-Agent Decision-making: Combining Theory and Practice

Directory of Open Access Journals (Sweden)

Sarit Kraus

2016-06-01

Full Text Available Extensive work has been conducted both in game theory and logic to model strategic interaction. An important question is whether we can use these theories to design agents for interacting with people? On the one hand, they provide a formal design specification for agent strategies. On the other hand, people do not necessarily adhere to playing in accordance with these strategies, and their behavior is affected by a multitude of social and psychological factors. In this paper we will consider the question of whether strategies implied by theories of strategic behavior can be used by automated agents that interact proficiently with people. We will focus on automated agents that we built that need to interact with people in two negotiation settings: bargaining and deliberation. For bargaining we will study game-theory based equilibrium agents and for argumentation we will discuss logic-based argumentation theory. We will also consider security games and persuasion games and will discuss the benefits of using equilibrium based agents.

Agent-Based Crowd Simulation Considering Emotion Contagion for Emergency Evacuation Problem

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Faroqi, H.; Mesgari, M.-S.

2015-12-01

During emergencies, emotions greatly affect human behaviour. For more realistic multi-agent systems in simulations of emergency evacuations, it is important to incorporate emotions and their effects on the agents. In few words, emotional contagion is a process in which a person or group influences the emotions or behavior of another person or group through the conscious or unconscious induction of emotion states and behavioral attitudes. In this study, we simulate an emergency situation in an open square area with three exits considering Adults and Children agents with different behavior. Also, Security agents are considered in order to guide Adults and Children for finding the exits and be calm. Six levels of emotion levels are considered for each agent in different scenarios and situations. The agent-based simulated model initialize with the random scattering of agent populations and then when an alarm occurs, each agent react to the situation based on its and neighbors current circumstances. The main goal of each agent is firstly to find the exit, and then help other agents to find their ways. Numbers of exited agents along with their emotion levels and damaged agents are compared in different scenarios with different initialization in order to evaluate the achieved results of the simulated model. NetLogo 5.2 is used as the multi-agent simulation framework with R language as the developing language.

AGENT-BASED CROWD SIMULATION CONSIDERING EMOTION CONTAGION FOR EMERGENCY EVACUATION PROBLEM

Directory of Open Access Journals (Sweden)

H. Faroqi

2015-12-01

Full Text Available During emergencies, emotions greatly affect human behaviour. For more realistic multi-agent systems in simulations of emergency evacuations, it is important to incorporate emotions and their effects on the agents. In few words, emotional contagion is a process in which a person or group influences the emotions or behavior of another person or group through the conscious or unconscious induction of emotion states and behavioral attitudes. In this study, we simulate an emergency situation in an open square area with three exits considering Adults and Children agents with different behavior. Also, Security agents are considered in order to guide Adults and Children for finding the exits and be calm. Six levels of emotion levels are considered for each agent in different scenarios and situations. The agent-based simulated model initialize with the random scattering of agent populations and then when an alarm occurs, each agent react to the situation based on its and neighbors current circumstances. The main goal of each agent is firstly to find the exit, and then help other agents to find their ways. Numbers of exited agents along with their emotion levels and damaged agents are compared in different scenarios with different initialization in order to evaluate the achieved results of the simulated model. NetLogo 5.2 is used as the multi-agent simulation framework with R language as the developing language.

Workplace exercise for changing health behavior related to physical activity.

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Grande, Antonio José; Cieslak, Fabrício; Silva, Valter

2015-01-01

Physical Activity in the workplace has received special attention from researchers who are looking to promote lifelong health and well-being. The workplace is being investigated as a possible place to assess and create strategies to help people to become healthier. The transtheoretical model and stages of change has been adapted as a tool to assess the stages of behavioral change towards exercising. To assess the change in health behavior following a three-month exercise program based in the workplace. A quasi-experimental study design was used in which 165 employees participated in the study. An intervention program of workplace exercise was applied for three months. Participants were assessed through the transtheoretical model and stages of change questionnaire before and after intervention to understand changes in their position on the behavioral change continuum. The number of employees who were physically active increased after the workplace exercise intervention (13.9% , 95% CI 9.5 to 20.1; P = 0.009). There was a significant decrease in the proportion of employees in the pre-contemplation stage (-6.1% , 95% CI 3.3 to 10.8; P = 0.045) and contemplation stage (-11.5% , 95% CI 7.5 to 17.3; P = 0.017), and a significant increase in the action stage (10.9% , 95% CI 7.0 to 16.6; P = 0.003). Engaging in workplace exercise has a significant positive effect on health behavior and willingness to become more physically active.

Designing Serious Video Games for Health Behavior Change: Current Status and Future Directions

OpenAIRE

Thompson, Debbe

2012-01-01

Serious video games for health are designed to entertain while changing a specific health behavior. This article identifies behavioral principles that can guide the development of serious video games focused on changing a variety of health behaviors, including those attempting to decrease risk of obesity and type 2 diabetes. Guidelines discussed include how to develop video games that provide a solid foundation for behavior change by enhancing a player’s knowledge and skill, ways in which per...

Design and simulation of material-integrated distributed sensor processing with a code-based agent platform and mobile multi-agent systems.

Science.gov (United States)

Bosse, Stefan

2015-02-16

Multi-agent systems (MAS) can be used for decentralized and self-organizing data processing in a distributed system, like a resource-constrained sensor network, enabling distributed information extraction, for example, based on pattern recognition and self-organization, by decomposing complex tasks in simpler cooperative agents. Reliable MAS-based data processing approaches can aid the material-integration of structural-monitoring applications, with agent processing platforms scaled to the microchip level. The agent behavior, based on a dynamic activity-transition graph (ATG) model, is implemented with program code storing the control and the data state of an agent, which is novel. The program code can be modified by the agent itself using code morphing techniques and is capable of migrating in the network between nodes. The program code is a self-contained unit (a container) and embeds the agent data, the initialization instructions and the ATG behavior implementation. The microchip agent processing platform used for the execution of the agent code is a standalone multi-core stack machine with a zero-operand instruction format, leading to a small-sized agent program code, low system complexity and high system performance. The agent processing is token-queue-based, similar to Petri-nets. The agent platform can be implemented in software, too, offering compatibility at the operational and code level, supporting agent processing in strong heterogeneous networks. In this work, the agent platform embedded in a large-scale distributed sensor network is simulated at the architectural level by using agent-based simulation techniques.

Design and Simulation of Material-Integrated Distributed Sensor Processing with a Code-Based Agent Platform and Mobile Multi-Agent Systems

Directory of Open Access Journals (Sweden)

Stefan Bosse

2015-02-01

Full Text Available Multi-agent systems (MAS can be used for decentralized and self-organizing data processing in a distributed system, like a resource-constrained sensor network, enabling distributed information extraction, for example, based on pattern recognition and self-organization, by decomposing complex tasks in simpler cooperative agents. Reliable MAS-based data processing approaches can aid the material-integration of structural-monitoring applications, with agent processing platforms scaled to the microchip level. The agent behavior, based on a dynamic activity-transition graph (ATG model, is implemented with program code storing the control and the data state of an agent, which is novel. The program code can be modified by the agent itself using code morphing techniques and is capable of migrating in the network between nodes. The program code is a self-contained unit (a container and embeds the agent data, the initialization instructions and the ATG behavior implementation. The microchip agent processing platform used for the execution of the agent code is a standalone multi-core stack machine with a zero-operand instruction format, leading to a small-sized agent program code, low system complexity and high system performance. The agent processing is token-queue-based, similar to Petri-nets. The agent platform can be implemented in software, too, offering compatibility at the operational and code level, supporting agent processing in strong heterogeneous networks. In this work, the agent platform embedded in a large-scale distributed sensor network is simulated at the architectural level by using agent-based simulation techniques.

Design of Video Games for Children's Diet and Physical Activity Behavior Change.

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Baranowski, Tom; Thompson, Debbe; Buday, Richard; Lu, Amy Shirong; Baranowski, Janice

2010-01-01

Serious video games (VG) offer new opportunities for promoting health related diet and physical activity change among children. Games can be designed to use storylines, characters, and behavior change procedures, including modeling (e.g., engaging characters make changes themselves, and face and overcome challenges related to fruit and vegetable (FV) and physical activity (PA) goal attainment and/or consumption), skill development (e.g., asking behaviors; virtual recipe preparation), self regulatory behaviors (problem solving, goal setting, goal review, decision making), rewards (e.g., points and positive statements generated by the program), immediate feedback (e.g., through characters and/or statements that appear on the computer screen at critical decision points), and personalization (e.g., tailored choices offered at critical junctures, based on responses to baselines questions related to preferences, outcome expectancies, etc). We are in the earliest stages of learning how to optimally design effective behavior change procedures for use in VG, and yet they have been demonstrated to change behavior. As we learn, VG offer more and better opportunities for obesity prevention that can adjust to individual needs and preferences.

Determinants of Behavior Change Intention Among Heterosexual Thai Males Diagnosed with Sexually Transmitted Diseases.

Science.gov (United States)

Thato, Ratsiri; Daengsaard, Ekkachai

2016-11-01

This study sought to identify factors associated with intention to change sexual practices among heterosexual Thai males diagnosed with sexually transmitted infections (STIs). STI clinic patients (n = 247) reported their sexual behaviors and condom use during the previous 3 months. STI and HIV knowledge, motivation to change sexual practices, and behavioral skills were assessed. Then, self-reported behavior change intention, including consistent condom use, reducing number of sexual partners, not using drugs and alcohol when having sex, and refusal of condomless sex, was examined. Consistent condom use in the past 3 months by Thai males diagnosed with STIs was low across all types of sexual partners (lover 13.8%, casual partner 14.9%, and sex worker 2.5%). Risk reduction self-efficacy (p behavior change intention. Significant predictors of behavior change intention were risk reduction self-efficacy (p behavior change intention variance. Intervention aimed at enhancing motivation and behavioral skills to adopt preventive behaviors should be developed to prevent recurrent STIs, including HIV infection, among heterosexual Thai males diagnosed with STIs.

Neural response to pictorial health warning labels can predict smoking behavioral change.

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Riddle, Philip J; Newman-Norlund, Roger D; Baer, Jessica; Thrasher, James F

2016-11-01

In order to improve our understanding of how pictorial health warning labels (HWLs) influence smoking behavior, we examined whether brain activity helps to explain smoking behavior above and beyond self-reported effectiveness of HWLs. We measured the neural response in the ventromedial prefrontal cortex (vmPFC) and the amygdala while adult smokers viewed HWLs. Two weeks later, participants' self-reported smoking behavior and biomarkers of smoking behavior were reassessed. We compared multiple models predicting change in self-reported smoking behavior (cigarettes per day [CPD]) and change in a biomarkers of smoke exposure (expired carbon monoxide [CO]). Brain activity in the vmPFC and amygdala not only predicted changes in CO, but also accounted for outcome variance above and beyond self-report data. Neural data were most useful in predicting behavioral change as quantified by the objective biomarker (CO). This pattern of activity was significantly modulated by individuals' intention to quit. The finding that both cognitive (vmPFC) and affective (amygdala) brain areas contributed to these models supports the idea that smokers respond to HWLs in a cognitive-affective manner. Based on our findings, researchers may wish to consider using neural data from both cognitive and affective networks when attempting to predict behavioral change in certain populations (e.g. cigarette smokers). © The Author (2016). Published by Oxford University Press.

Determinants of lifestyle behavior change to prevent type 2 diabetes in high-risk individuals.

Science.gov (United States)

den Braver, N R; de Vet, E; Duijzer, G; Ter Beek, J; Jansen, S C; Hiddink, G J; Feskens, E J M; Haveman-Nies, A

2017-06-12

Although there are many effective lifestyle interventions for type 2 diabetes (T2DM) prevention, insight into effective intervention pathways, especially of long-term interventions, is often lacking. This study aims to provide insight into the effective intervention pathways of the SLIMMER diabetes prevention intervention using mediation analyses. In total, 240 participants at increased risk of T2DM were included in the analyses over 18 months. The intervention was a combined lifestyle intervention with a dietary and a physical activity (PA) component. The primary and secondary outcomes were change in fasting insulin (pmol/L) and change in body weight (kg) after 18 months, respectively. Firstly, in a multiple mediator model, we investigated whether significant changes in these outcomes were mediated by changes in dietary and PA behavior. Secondly, in multiple single mediator models, we investigated whether changes in dietary and PA behavior were mediated by changes in behavioral determinants and the participants' psychological profile. The mediation analyses used linear regression models, where significance of indirect effects was calculated with bootstrapping. The effect of the intervention on decreased fasting insulin was 40% mediated by change in dietary and PA behavior, where dietary behavior was an independent mediator of the association (34%). The effect of the intervention on decreased body weight was 20% mediated by change in dietary and PA behavior, where PA behavior was an independent mediator (17%). The intervention significantly changed intake of fruit, fat from bread spread, and fiber from bread. Change in fruit intake was mediated by change in action control (combination of consciousness, self-control, and effort), motivation, self-efficacy, intention, and skills. Change in fat intake was mediated by change in action control and psychological profile. No mediators could be identified for change in fiber intake. The change in PA behavior was mediated

Investigations Into Internal and External Aspects of Dynamic Agent-Environment Couplings

Science.gov (United States)

Dautenhahn, Kerstin

This paper originates from my work on `social agents'. An issue which I consider important to this kind of research is the dynamic coupling of an agent with its social and non-social environment. I hypothesize `internal dynamics' inside an agent as a basic step towards understanding. The paper therefore focuses on the internal and external dynamics which couple an agent to its environment. The issue of embodiment in animals and artifacts and its relation to `social dynamics' is discussed first. I argue that embodiment is linked to a concept of a body and is not necessarily given when running a control program on robot hardware. I stress the individual characteristics of an embodied cognitive system, as well as its social embeddedness. I outline the framework of a physical-psychological state space which changes dynamically in a self-modifying way as a holistic approach towards embodied human and artificial cognition. This framework is meant to discuss internal and external dynamics of an embodied, natural or artificial agent. In order to stress the importance of a dynamic memory I introduce the concept of an `autobiographical agent'. The second part of the paper gives an example of the implementation of a physical agent, a robot, which is dynamically coupled to its environment by balancing on a seesaw. For the control of the robot a behavior-oriented approach using the dynamical systems metaphor is used. The problem is studied through building a complete and co-adapted robot-environment system. A seesaw which varies its orientation with one or two degrees of freedom is used as the artificial `habitat'. The problem of stabilizing the body axis by active motion on a seesaw is solved by using two inclination sensors and a parallel, behavior-oriented control architecture. Some experiments are described which demonstrate the exploitation of the dynamics of the robot-environment system.

Fuzzy Cognitive and Social Negotiation Agent Strategy for Computational Collective Intelligence

Science.gov (United States)

Chohra, Amine; Madani, Kurosh; Kanzari, Dalel

Finding the adequate (win-win solutions for both parties) negotiation strategy with incomplete information for autonomous agents, even in one-to-one negotiation, is a complex problem. Elsewhere, negotiation behaviors, in which the characters such as conciliatory or aggressive define a 'psychological' aspect of the negotiator personality, play an important role. The aim of this paper is to develop a fuzzy cognitive and social negotiation strategy for autonomous agents with incomplete information, where the characters conciliatory, neutral, or aggressive, are suggested to be integrated in negotiation behaviors (inspired from research works aiming to analyze human behavior and those on social negotiation psychology). For this purpose, first, one-to-one bargaining process, in which a buyer agent and a seller agent negotiate over single issue (price), is developed for a time-dependent strategy (based on time-dependent behaviors of Faratin et al.) and for a fuzzy cognitive and social strategy. Second, experimental environments and measures, allowing a set of experiments, carried out for different negotiation deadlines of buyer and seller agents, are detailed. Third, experimental results for both time-dependent and fuzzy cognitive and social strategies are presented, analyzed, and compared for different deadlines of agents. The suggested fuzzy cognitive and social strategy allows agents to improve the negotiation process, with regard to the time-dependent one, in terms of agent utilities, round number to reach an agreement, and percentage of agreements.

Agile science: creating useful products for behavior change in the real world.

Science.gov (United States)

Hekler, Eric B; Klasnja, Predrag; Riley, William T; Buman, Matthew P; Huberty, Jennifer; Rivera, Daniel E; Martin, Cesar A

2016-06-01

Evidence-based practice is important for behavioral interventions but there is debate on how best to support real-world behavior change. The purpose of this paper is to define products and a preliminary process for efficiently and adaptively creating and curating a knowledge base for behavior change for real-world implementation. We look to evidence-based practice suggestions and draw parallels to software development. We argue to target three products: (1) the smallest, meaningful, self-contained, and repurposable behavior change modules of an intervention; (2) "computational models" that define the interaction between modules, individuals, and context; and (3) "personalization" algorithms, which are decision rules for intervention adaptation. The "agile science" process includes a generation phase whereby contender operational definitions and constructs of the three products are created and assessed for feasibility and an evaluation phase, whereby effect size estimates/casual inferences are created. The process emphasizes early-and-often sharing. If correct, agile science could enable a more robust knowledge base for behavior change.

[Hypoxia and memory. Specific features of nootropic agents effects and their use].

Science.gov (United States)

Voronina, T A

2000-01-01

Hypoxia and hypoxic adaptation are powerful factors of controlling memory and behavior processes. Acute hypoxia exerts a differential impact on different deficits of mnestic and cognitive functions. Instrumental reflexes of active and passive avoidance, negative learning, behavior with a change in the stereotype of learning are more greatly damaged. Memory with spatial and visual differentiation and their rearrangement change to a lesser extent and conditional reflexes are not deranged. In this contract, altitude hypoxic adaptation enhances information fixation and increases the degree and duration of retention of temporary relations. Nootropic agents with an antihypoxic action exert a marked effect on hypoxia-induced cognitive and memory disorders and the magnitude of this effect depends on the ration of proper nootropic to antihypoxic components in the spectrum of the drugs' pharmacological activity. The agents that combine a prevailing antiamnestic effect and a marked and moderate antihypoxic action (mexidole, nooglutil, pyracetam, beglymin, etc.) are most effective in eliminating different hypoxia-induced cognitive and memory disorders, nootropic drugs that have a pronounced antiamnestic activity (centrophenoxine, etc.) and no antihypoxic component also restore the main types of mnestic disorders after hypoxia, but to a lesser extent.

Enhancing reporting of behavior change intervention evaluations

NARCIS (Netherlands)

Abraham, C.; Johnson, B.T.; de Bruin, M.; Luszczynska, A.

2014-01-01

Many behavior change interventions for the prevention and treatment of HIV have been evaluated, but suboptimal reporting of evaluations hinders the accumulation of evidence and the replication of interventions. In this article, we address 4 practices contributing to this problem. First, detailed

The Missing Elements of Change. A Response to "Youth Change Agents: Comparing the Sociopolitical Identities of Youth Organizers and Youth Commissioners"

Science.gov (United States)

Goldwasser, Matthew L.

2016-01-01

By establishing a set of theoretical frameworks to view and compare the work of youth organizers and youth commissioners, and through personal interviews, the authors of the paper "Youth Change Agents: Comparing the Sociopolitical Identities of Youth Organizers and Youth Commissioners" presented their explanation of the development of…

Multi-Agent Based Microscopic Simulation Modeling for Urban Traffic Flow

Directory of Open Access Journals (Sweden)

Xianyan Kuang

2014-10-01

Full Text Available Traffic simulation plays an important role in the evaluation of traffic decisions. The movement of vehicles essentially is the operating process of drivers, in order to reproduce the urban traffic flow from the micro-aspect on computer, this paper establishes an urban traffic flow microscopic simulation system (UTFSim based on multi-agent. The system is seen as an intelligent virtual environment system (IVES, and the four-layer structure of it is built. The road agent, vehicle agent and signal agent are modeled. The concept of driving trajectory which is divided into LDT (Lane Driving Trajectory and VDDT (Vehicle Dynamic Driving Trajectory is introduced. The “Link-Node” road network model is improved. The driving behaviors including free driving, following driving, lane changing, slowing down, vehicle stop, etc. are analyzed. The results of the signal control experiments utilizing the UTFSim developed in the platform of Visual Studio. NET indicates that it plays a good performance and can be used in the evaluation of traffic management and control.

Do Self-Incentives and Self-Rewards Change Behavior? A Systematic Review and Meta-Analysis.

Science.gov (United States)

Brown, Emma M; Smith, Debbie M; Epton, Tracy; Armitage, Christopher J

2018-01-01

Encouraging people to self-incentivize (i.e., to reward themselves in the future if they are successful in changing their behavior) or self-reward (i.e., prompt people to reward themselves once they have successfully changed their behavior) are techniques that are frequently embedded within complex behavior change interventions. However, it is not clear whether self-incentives or self-rewards per se are effective at bringing about behavior change. Nine databases were searched alongside manual searching of systematic reviews and online research registers. One thousand four hundred papers were retrieved, spanning a range of behaviors, though the majority of included papers were in the domain of "health psychology". Ten studies matched the inclusion criteria for self-incentive but no studies were retrieved for self-reward. The present systematic review and meta-analysis is therefore the first to evaluate the unique effect of self-incentives on behavior change. Effect sizes were retrieved from 7 of the 10 studies. Analysis of the 7 studies produced a very small pooled effect size for self-incentives (k = 7, N = 1,161), which was statistically significant, d + = 0.17, CI [0.06, 0.29]. The weak effect size and dearth of studies raises the question of why self-incentivizing is such a widely employed component of behavior change interventions. The present research opens up a new field of inquiry to establish: (a) whether or not self-incentivizing and self-rewarding are effective behavior change techniques, (b) whether self-incentives and self-rewards need to be deployed alongside other behavior change techniques, and, (c) when and for whom self-incentives and self-rewards could support effective behavior change. Copyright © 2017. Published by Elsevier Ltd.

Worksite Health Program Promoting Changes in Eating Behavior and Health Attitudes.

Science.gov (United States)

Mache, Stefanie; Jensen, Sarah; Jahn, Reimo; Steudtner, Mirko; Ochsmann, Elke; Preuß, Geraldine

2015-11-01

The aim of the present study was to evaluate the effectiveness of a worksite multicomponent health promotion intervention on eating behavior and attitudes, changes in body weight, and readiness to make eating behavior changes among workers over a 12-month intervention period. A total of 3,095 workers of a logistic company participated in a quasi-experimental comparison group study design. The intervention group received a multicomponent health training. Two of the main elements of the multicomponent intervention were physical exercise training and nutrition counseling/training. During the pilot year, participants completed a survey at baseline and again after 12 months to assess physical activity-, health-, and diet-related factors. Results showed that participants' body weight did not significantly decrease in the intervention group. Mean weight loss in the intervention groups was 0.5 kg (body mass index = 0.1 kg/m(2)). Eating behaviors in the intervention group improved more than in the comparison group. Some positive intervention effects were observed for the cognitive factors (e.g., changes in eating attitudes). Baseline readiness to change eating behavior was significantly improved over time. We demonstrated initial results of a long-term multicomponent worksite health promotion program with regard to changes in body weight, eating behavior, and attitudes. This evaluation of a 12-month pilot study suggests that a worksite health promotion program may lead to improvements in nutritional health behaviors for a number of workers. An investigation of long-term effects of this multicomponent intervention is strongly recommended. © 2015 Society for Public Health Education.

Climate change helplessness and the (de)moralization of individual energy behavior.

Science.gov (United States)

Salomon, Erika; Preston, Jesse L; Tannenbaum, Melanie B

2017-03-01

Although most people understand the threat of climate change, they do little to modify their own energy conservation behavior. One reason for this gap between belief and behavior may be that individual actions seem unimpactful and therefore are not morally relevant. This research investigates how climate change helplessness-belief that one's actions cannot affect climate change-can undermine the moralization of climate change and personal energy conservation. In Study 1, climate change efficacy predicted both moralization of energy use and energy conservation intentions beyond individual belief in climate change. In Studies 2 and 3, participants read information about climate change that varied in efficacy message, that is, whether individual actions (e.g., using less water, turning down heat) make a difference in the environment. Participants who read that their behavior made no meaningful impact reported weaker moralization and intentions (Study 2), and reported more energy consumption 1 week later (Study 3). Moreover, effects on intentions and actions were mediated by changes in moralization. We discuss ways to improve climate change messages to foster environmental efficacy and moralization of personal energy use. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Complex systems and health behavior change: insights from cognitive science.

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Orr, Mark G; Plaut, David C

2014-05-01

To provide proof-of-concept that quantum health behavior can be instantiated as a computational model that is informed by cognitive science, the Theory of Reasoned Action, and quantum health behavior theory. We conducted a synthetic review of the intersection of quantum health behavior change and cognitive science. We conducted simulations, using a computational model of quantum health behavior (a constraint satisfaction artificial neural network) and tested whether the model exhibited quantum-like behavior. The model exhibited clear signs of quantum-like behavior. Quantum health behavior can be conceptualized as constraint satisfaction: a mitigation between current behavioral state and the social contexts in which it operates. We outlined implications for moving forward with computational models of both quantum health behavior and health behavior in general.

Decrease Risk Behavior HIV Infected on Construction Laborers with Behavior Change Communication (BCC Approach

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Purwaningsih Purwaningsih

2016-09-01

The purpose of this study was to determine the effectiveness of BCC approach to the reduction of contracting HIV risk behavior in the construction laborers. Method: This study used operational research design. In this study measures the effectiveness of behavior change of construction workers on the prevention of HIV transmission by comparing the behavior of the construction workers before and after the intervention. The subjects of this study were 150 people risk group of construction workers who work and are spread throughout the city of Surabaya. This research was carried out into three phases, namely, phase preintervention research, intervention research, and post-intervention phase of the study. Implemented in the first year and second year praintervensi stage implemented intervention and post-intervention phases. Result: The results of this study showed that 72% of construction workers is productive (18–35 years and visit his family more than once a month (38%. There is 20% of construction workers had sex with commercial sex workers and no one was using drugs. By 50% of construction workers never get information about HIV/AIDS and as many as 48% never use the services of HIV/AIDS. Discussion: External motivation construction workers associated with the utilization of behavioral HIV/AIDS services with sufficient correlation. Strong external motivation is influenced by risk behaviors of HIV/AIDS were conducted and the desire to get help. Weak external motivation is influenced by a lack of exposure to information related to HIV/AIDS services. The results of the FGD stakeholders have the perception is the same if a construction worker is a high risk group of contracting HIV. Most of the construction workers not have enough knowledge for the prevention of HIV transmission because they do not have access to HIV care and behavior are at risk of contracting HIV by construction workers. Keywords: construction workers, behavior change communication, behavior

Behavioral changes in Rattus norvegicus coinfected by Toxocara canis and Toxoplasma gondii

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Maisa Leite de Queiroz

2013-02-01

Full Text Available Using an elevated plus maze apparatus and an activity cage, behavioral changes in Rattus norvegicus concomitantly infected by Toxocara canis and Toxoplasma gondii were studied, during a period of 120 days. Rats infected by Toxocara canis or Toxoplasma gondii showed significant behavioral changes; however, in the group coinfected by both parasites a behavioral pattern similar to that found in the group not infected was observed thirty days after infection, suggesting the occurrence of modulation in the behavioral response.

Propagation of maternal behavior across generations is associated with changes in non-maternal cognitive and behavioral processes.

Science.gov (United States)

Lovic, Vedran; Fleming, Alison S

2015-08-01

Over a number of years we have studied the phenomenology of maternal behavior from endocrine, neural, experiential, and ontogenetic perspectives. Here, we focus on the effects of early life experiences with and without the mother on subsequent maternal and non-maternal behaviors of the offspring. We have used an artificial rearing procedure, which entails removing rat pups from their mother and raising them in isolation, while controlling and manipulating several aspects of their upbringing. As adults, mother-reared (MR) and artificially-reared (AR) rats are assessed on their own maternal behavior, as well several other behaviors. While both AR and MR rats nurse and successfully wean their young, the AR rats spend less time licking, grooming, and crouching over their young. Hence, being raised in social isolation does not seem to affect primary maternal motivational dynamics. Instead, isolation rearing produces alterations in the ongoing execution of the behavior and its effective organization. Here, we present evidence that changes in maternal behavior, as a result of social isolation from mother and siblings, are due to changes in top-down (e.g., sustained attention, flexibility) and bottom-up process (e.g., increased stimulus-driven behavior). These changes are likely due to alterations in brain dopamine systems, which are sensitive to early life manipulations and are modulators of bottom-up and top-down processes. Finally, we draw parallels between the rat and human maternal behavior. This article is part of a Special Issue entitled: In Honor of Jerry Hogan. Copyright © 2015 Elsevier B.V. All rights reserved.

Perceived changes in behavior and values after a red blood cell transfusion

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Broccolo M

2017-12-01

Full Text Available Marianna Broccolo,1 Nicolas Favez,2 Oliver Karam3,4 1School of Medicine, 2Clinical Psychology Unit, Faculty of Psychology and Educational Sciences, University of Geneva, Geneva, 3Pediatric Intensive Care Unit, Geneva University Hospital, Geneva, Switzerland; 4Division of Pediatric Critical Care Medicine, Children’s Hospital of Richmond at VCU, Richmond, VA, USA Background: Several studies have evaluated perceived changes in patients’ behavior after an organ transplant, especially a heart transplant. Although blood transfusions are much more frequent and have many connotations, derived from religious values, mass culture, or personal ideas, there is no study of the perception the patients have of changes in their behavior and values after a transfusion. This study’s objective was to assess perceived changes in behavior and values after a red blood cell transfusion.Materials and methods: Exploratory study through semistructured interviews with seven adults transfused after orthopedic surgery.Results: Blood had strong symbolic values for all subjects. Each of the seven participants mentioned positive characteristics that they would like to receive from the donor. Six subjects out of the seven acknowledged the possibility that transfusions might induce changes in behavior or values. Three subjects clearly stated that they would refuse to receive blood from a criminal for fear that some negative characteristic may be transmitted to them. Furthermore, three subjects acknowledged that their transfusion might have changed their own behavior or values.Discussion: This study shows that patients might feel that transfusions could modify their behavior or values and that certain personality traits of the donor could be transmitted. Further research in a larger population is warranted to evaluate the incidence of a perceived changed in behavior or values after a blood transfusion, which would then lead to changes in the way information is provided to

Explaining Consumer Safe Food Handling Through Behavior-Change Theories: A Systematic Review.

Science.gov (United States)

Young, Ian; Reimer, Danielle; Greig, Judy; Meldrum, Richard; Turgeon, Patricia; Waddell, Lisa

2017-11-01

Consumers often engage in unsafe food handling behaviors at home. Previous studies have investigated the ability of behavior-change theories to explain and predict these behaviors. The purpose of this review was to determine which theories are most consistently associated with consumers' safe food handling behaviors across the published literature. A standardized systematic review methodology was used, consisting of the following steps: comprehensive search strategy; relevance screening of identified references; confirmation of relevance and characterization of relevant articles; risk-of-bias assessment; data extraction; and descriptive analysis of study results. A total of 20 relevant studies were identified; they were mostly conducted in Australia (40%) and the United States (35%) and used a cross-sectional design (65%). Most studies targeted young adults (65%), and none focused on high-risk consumer groups. The outcomes of 70% of studies received high overall risk-of-bias ratings, largely due to a lack of control for confounding variables. The most commonly applied theory was the Theory of Planned Behavior (45% of studies), which, along with other investigated theories of behavior change, was frequently associated with consumer safe food handling behavioral intentions and behaviors. However, overall, there was wide variation in the specific constructs found to be significantly associated and in the percentage of variance explained in each outcome across studies. The results suggest that multiple theories of behavior change can help to explain consumer safe food handling behaviors and could be adopted to guide the development of future behavior-change interventions. In these contexts, theories should be appropriately selected and adapted to meet the needs of the specific target population and context of interest.

On the pilot's behavior of detecting a system parameter change

Science.gov (United States)

Morizumi, N.; Kimura, H.

1986-01-01

The reaction of a human pilot, engaged in compensatory control, to a sudden change in the controlled element's characteristics is described. Taking the case where the change manifests itself as a variance change of the monitored signal, it is shown that the detection time, defined to be the time elapsed until the pilot detects the change, is related to the monitored signal and its derivative. Then, the detection behavior is modeled by an optimal controller, an optimal estimator, and a variance-ratio test mechanism that is performed for the monitored signal and its derivative. Results of a digital simulation show that the pilot's detection behavior can be well represented by the model proposed here.

Designing serious video games for health behavior change: Current status and future directions

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Serious video games for health are designed to entertain while changing a specific health behavior. This article identifies behavioral principles that can guide the development of serious video games focused on changing a variety of health behaviors, including those attempting to decrease risk of o...

Cognitive Neuroscience Approaches to Understanding Behavior Change in Alcohol Use Disorder Treatments.

Science.gov (United States)

Naqvi, Nasir H; Morgenstern, Jon

2015-01-01

Researchers have begun to apply cognitive neuroscience concepts and methods to study behavior change mechanisms in alcohol use disorder (AUD) treatments. This review begins with an examination of the current state of treatment mechanisms research using clinical and social psychological approaches. It then summarizes what is currently understood about the pathophysiology of addiction from a cognitive neuroscience perspective. Finally, it reviews recent efforts to use cognitive neuroscience approaches to understand the neural mechanisms of behavior change in AUD, including studies that use neural functioning to predict relapse and abstinence; studies examining neural mechanisms that operate in current evidence-based behavioral interventions for AUD; as well as research on novel behavioral interventions that are being derived from our emerging understanding of the neural and cognitive mechanisms of behavior change in AUD. The article highlights how the regulation of subcortical regions involved in alcohol incentive motivation by prefrontal cortical regions involved in cognitive control may be a core mechanism that plays a role in these varied forms of behavior change in AUD. We also lay out a multilevel framework for integrating cognitive neuroscience approaches with more traditional methods for examining AUD treatment mechanisms.

Influence of pH adjustment agents on the biologic behavior of osmium-191 impurity in iridium-191m generator eluates

International Nuclear Information System (INIS)

Weininger, J.; Issachar, D.; Lubin, E.; Zabari, M.; Trumper, J.

1990-01-01

The influence of four pH adjustment agents on the biologic behavior of osmium-191 (191Os) impurity in 191Os/191mIr generator eluates was studied. Extended body clearance and biodistribution studies were performed in mice. The solutions to be injected were obtained by eluting generators with a 0.9% NaCl solution at pH 1. The pH of these eluates was adjusted to 5-9 with succinate, phosphate, lysine or NaOH solution. Our results demonstrate that the biologic behavior of these generator eluates is significantly dependent on the agent used for pH adjustment. Buffering with lysine leads to the best results: (a) the mice show no adverse reaction after injection of 150 human doses and the body clearance is very rapid and (b) more than 75% I.D. at 24 hr postinjection. Preliminary calculations based on these results suggest a significant decrease in the estimated patient radiation dose when lysine buffered 191Os/191mIr generator eluates are used for radionuclide angiography

Introduction: Agents of Change? Staging and Governing Diasporas and the African State

DEFF Research Database (Denmark)

Turner, Simon; Kleist, Nauja

2013-01-01

During the last decade, African diasporas have emerged as agents of change in international development thinking. Diasporas are being courted by donors, sending states, and NGOs for their contributions to development in their countries of origin; praised for their remittances, investments...... and knowledge transfer. This Introduction seeks to scrutinise critically these processes, examining issues of governance and categorisation in relation to African states and diasporas. We explore the theoretical and political implications of the emergence of diasporas in relation to questions of hybridity...

Have drivers at alcohol outlets changed their behavior after the new traffic law?

Directory of Open Access Journals (Sweden)

Raquel B. De Boni

2014-03-01

Full Text Available Objective: In an attempt to reduce high levels of traffic crashes, a new legislation was approved in Brazil in 2008. This study aimed to assess behavioral change among drivers who had drunk at alcohol outlets (AO after implementation of the law. Method: A three-stage probability sampling survey was conducted in Porto Alegre, state of Rio Grande do Sul, Brazil. Individuals seen leaving AOs after drinking were approached (n=3,018. Selected drivers (n=683 answered a structured interview, were breathalyzed, and had saliva specimens collected for drug screening. Results: Overall, 60.3% (SE 4.5 of drivers reported they did not change their behavior. Among those who reported behavioral changes, most reported drinking less as their main strategy toward safer driving behavior. Variables independently associated with behavior change included having drunk at a high outlet density area (odds ratio [OR] 1.7 [1.1-2.8] and having a favorable opinion about the law (OR 4.3 [2.1-8.9]. Conclusions: Our findings suggest that awareness of the law has not been enough to promote behavioral change. As most drivers had a favorable opinion of the law and this variable was found to be the strongest predictor of behavior change, efforts to better integrate education and enforcement seem to be pivotal and might be well received by the population.

Has microblogging changed stock market behavior? Evidence from China

Science.gov (United States)

Jin, Xi; Shen, Dehua; Zhang, Wei

2016-06-01

This paper examines the stock market behavior for a long-lived subset of firms in Shanghai and Shenzhen CSI 300 Index (CSI 300 Index) both before and after the establishment of firms' Microblogging in Sina Weibo. The empirical results show a significant increase in the relative trading volume as well as the decreases in the daily expected stock return and firm-level volatility in the post-Sina Weibo period. These findings suggest that Sina Weibo as an alternative information interaction channel has changed the information environment for individual stock, enhanced the speed of information diffusion and therefore changed the overall stock market behavior.

Microstructure and electrochemical behavior of cerium conversion coating modified with silane agent on magnesium substrates

Energy Technology Data Exchange (ETDEWEB)

Lei, Li; Shi, Jing, E-mail: shijing@ouc.edu.cn; Wang, Xin, E-mail: wangxin.hd@163.com; Liu, Dan; Xu, Haigang

2016-07-15

Graphical abstract: The unmodified coating shows averaged static water contact angles of a little more than 50º, which is clearly hydrophilic for water solutions. With the silane concentration increases, the water contact angles show an increase tendency. Especially, when the silane addition is increased to 25 ml L-1, the coating surface presents a hydrophobic feature, with static water contact angle of more than 110º. - Highlights: • BTESPT modification can effectively improve the uniformity, hydrophobic performance, chemical stability and corrosion inhibition capability of traditional cerium conversion coating. • Si-O-Si linkage builds a robust structure to increase of the coating density. Si−O−Mg bonds strengthen the adhesion between the coating/substrate. • The system modified with 25 ml L{sup −1} BTESPT displays the optimum corrosion protection performance. - Abstract: The cerium conversion coating with and without different concentrations of silane agent bis-(γ-triethoxysilylpropyl)-tetrasulfide (BTESPT) modification is obtained on magnesium alloys. Detailed properties of the coatings and the role of BTESPT as an additive are studied and followed with careful discussion. The coating morphology, wettability, chemical composition and corrosion resistance are characterized by scanning electronic microscope (SEM), water contact-angle, X-ray photoelectron spectroscopy (XPS), potentiodynamic measurements and electrochemical impedance spectroscopy (EIS). The electrochemical behavior of the coatings is investigated using EIS. The results indicate that the coating morphology and composition can be controlled by changing silane concentration. The combination of cerium ions and silane molecules could promote the formation of more homogenous and higher hydrophobic coating. The coating turns to be more compact and the adhesive strength between the coating and the magnesium substrate are strongly improved with the formation of Si−O−Si and Si�

Microstructure and electrochemical behavior of cerium conversion coating modified with silane agent on magnesium substrates

International Nuclear Information System (INIS)

Lei, Li; Shi, Jing; Wang, Xin; Liu, Dan; Xu, Haigang

2016-01-01

Graphical abstract: The unmodified coating shows averaged static water contact angles of a little more than 50º, which is clearly hydrophilic for water solutions. With the silane concentration increases, the water contact angles show an increase tendency. Especially, when the silane addition is increased to 25 ml L-1, the coating surface presents a hydrophobic feature, with static water contact angle of more than 110º. - Highlights: • BTESPT modification can effectively improve the uniformity, hydrophobic performance, chemical stability and corrosion inhibition capability of traditional cerium conversion coating. • Si-O-Si linkage builds a robust structure to increase of the coating density. Si−O−Mg bonds strengthen the adhesion between the coating/substrate. • The system modified with 25 ml L"−"1 BTESPT displays the optimum corrosion protection performance. - Abstract: The cerium conversion coating with and without different concentrations of silane agent bis-(γ-triethoxysilylpropyl)-tetrasulfide (BTESPT) modification is obtained on magnesium alloys. Detailed properties of the coatings and the role of BTESPT as an additive are studied and followed with careful discussion. The coating morphology, wettability, chemical composition and corrosion resistance are characterized by scanning electronic microscope (SEM), water contact-angle, X-ray photoelectron spectroscopy (XPS), potentiodynamic measurements and electrochemical impedance spectroscopy (EIS). The electrochemical behavior of the coatings is investigated using EIS. The results indicate that the coating morphology and composition can be controlled by changing silane concentration. The combination of cerium ions and silane molecules could promote the formation of more homogenous and higher hydrophobic coating. The coating turns to be more compact and the adhesive strength between the coating and the magnesium substrate are strongly improved with the formation of Si−O−Si and Si−O−M chemical

Verbal Bullying Changes Among Students Following an Educational Intervention Using the Integrated Model for Behavior Change.

Science.gov (United States)

Naidoo, Saloshni; Satorius, Benn K; de Vries, Hein; Taylor, Myra

2016-11-01

Bullying behavior in schools can lead to psychosocial problems. School-based interventions are important in raising student awareness, developing their skills and in planning to reduce bullying behavior. A randomized controlled trial, using a school-based educational intervention to reduce verbal bullying, was conducted among grade 10 students in 16 urban and rural schools in KwaZulu-Natal, South Africa in 2013. Baseline and postintervention questionnaires, developed using the Integrated Model for Behavior Change theoretical model, were used to assess changes in verbal bullying. Postintervention there were reduced verbal bullying experiences. Improved social norms and awareness of verbal bullying were associated with reduced verbal bullying experiences and behavior. Although less likely to bully others verbally, girls were more likely to experience verbal bullying. Students with no living father were more likely to bully others verbally. The study findings indicate that a school-based intervention can positively impact on verbal bullying experiences and behavior. © 2016, American School Health Association.

Somatic And Behavioral Changes Associated With Difuse ...

African Journals Online (AJOL)

Aims: The effects of diffuse transcranial electrical stimulation on somatic and behavioral changes in anaesthetized and unanaesthetized normal male and female Wister rats was studied. Method: Diffuse transcranial electrical stimulation (0-25v, frequency 90Hz,pulse width 1ms) was administered via two electrodes clipped ...

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

CERN Document Server

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

2015-01-01

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

Intervention Strategies Based on Information-Motivation-Behavioral Skills Model for Health Behavior Change: A Systematic Review

OpenAIRE

Chang, Sun Ju; Choi, Suyoung; Kim, Se-An; Song, Misoon

2014-01-01

Purpose: This study systematically reviewed research on behavioral interventions based on the information-motivation-behavioral skills (IMB) model to investigate specific intervention strategies that focus on information, motivation, and behavioral skills and to evaluate their effectiveness for people with chronic diseases. Methods: A systematic review was conducted in accordance with the guidelines of both the National Evidence-based Healthcare Collaborating Agency and Im and Chang. A lit...

Spatial snowdrift game in heterogeneous agent systems with co-evolutionary strategies and updating rules

International Nuclear Information System (INIS)

Xia Hai-Jiang; Li Ping-Ping; Ke Jian-Hong; Lin Zhen-Quan

2015-01-01

We propose an evolutionary snowdrift game model for heterogeneous systems with two types of agents, in which the inner-directed agents adopt the memory-based updating rule while the copycat-like ones take the unconditional imitation rule; moreover, each agent can change his type to adopt another updating rule once the number he sequentially loses the game at is beyond his upper limit of tolerance. The cooperative behaviors of such heterogeneous systems are then investigated by Monte Carlo simulations. The numerical results show the equilibrium cooperation frequency and composition as functions of the cost-to-benefit ratio r are both of plateau structures with discontinuous steplike jumps, and the number of plateaux varies non-monotonically with the upper limit of tolerance ν T as well as the initial composition of agents f a0 . Besides, the quantities of the cooperation frequency and composition are dependent crucially on the system parameters including ν T , f a0 , and r. One intriguing observation is that when the upper limit of tolerance is small, the cooperation frequency will be abnormally enhanced with the increase of the cost-to-benefit ratio in the range of 0 < r < 1/4. We then probe into the relative cooperation frequencies of either type of agents, which are also of plateau structures dependent on the system parameters. Our results may be helpful to understand the cooperative behaviors of heterogenous agent systems. (paper)

Consentaneous agent-based and stochastic model of the financial markets.

Science.gov (United States)

Gontis, Vygintas; Kononovicius, Aleksejus

2014-01-01

We are looking for the agent-based treatment of the financial markets considering necessity to build bridges between microscopic, agent based, and macroscopic, phenomenological modeling. The acknowledgment that agent-based modeling framework, which may provide qualitative and quantitative understanding of the financial markets, is very ambiguous emphasizes the exceptional value of well defined analytically tractable agent systems. Herding as one of the behavior peculiarities considered in the behavioral finance is the main property of the agent interactions we deal with in this contribution. Looking for the consentaneous agent-based and macroscopic approach we combine two origins of the noise: exogenous one, related to the information flow, and endogenous one, arising form the complex stochastic dynamics of agents. As a result we propose a three state agent-based herding model of the financial markets. From this agent-based model we derive a set of stochastic differential equations, which describes underlying macroscopic dynamics of agent population and log price in the financial markets. The obtained solution is then subjected to the exogenous noise, which shapes instantaneous return fluctuations. We test both Gaussian and q-Gaussian noise as a source of the short term fluctuations. The resulting model of the return in the financial markets with the same set of parameters reproduces empirical probability and spectral densities of absolute return observed in New York, Warsaw and NASDAQ OMX Vilnius Stock Exchanges. Our result confirms the prevalent idea in behavioral finance that herding interactions may be dominant over agent rationality and contribute towards bubble formation.

Modeling agents with a theory of mind

NARCIS (Netherlands)

Harbers, M.; Bosch, K. van den; Meyer, J.J.C.

2009-01-01

Training systems with intelligent virtual agents provide an effective means to train people for complex, dynamic tasks like crisis management or firefighting. Virtual agents provide more adequate behavior and explanations if they not only take their own goals and beliefs into account, but also the

Normative multi-agent programs and their logics

NARCIS (Netherlands)

Dastani, M.; Grossi, D.; Meyer, J.-J.C.; Tinnemeier, N.

2009-01-01

Multi-agent systems are viewed as consisting of individual agents whose behaviors are regulated by an organization artefact. This paper presents a simplified version of a programming language that is designed to implement norm-based artefacts. Such artefacts are specified in terms of norms being

Isolating the Roles of Different Forcing Agents in Global Stratospheric Temperature Changes Using Model Integrations with Incrementally Added Single Forcings

Science.gov (United States)

Aquila, V.; Swartz, W. H.; Waugh, D. W.; Colarco, P. R.; Pawson, S.; Polvani, L. M.; Stolarski, R. S.

2016-01-01

Satellite instruments show a cooling of global stratospheric temperatures over the whole data record (1979-2014). This cooling is not linear and includes two descending steps in the early 1980s and mid-1990s. The 1979-1995 period is characterized by increasing concentrations of ozone depleting substances (ODS) and by the two major volcanic eruptions of El Chichon (1982) and Mount Pinatubo (1991). The 1995-present period is characterized by decreasing ODS concentrations and by the absence of major volcanic eruptions. Greenhouse gas (GHG) concentrations increase over the whole time period. In order to isolate the roles of different forcing agents in the global stratospheric temperature changes, we performed a set of AMIP-style simulations using the NASA Goddard Earth Observing System Chemistry-Climate Model (GEOSCCM). We find that in our model simulations the cooling of the stratosphere from 1979 to present is mostly driven by changes in GHG concentrations in the middle and upper stratosphere and by GHG and ODS changes in the lower stratosphere. While the cooling trend caused by increasing GHGs is roughly constant over the satellite era, changing ODS concentrations cause a significant stratospheric cooling only up to the mid-1990s, when they start to decrease because of the implementation of the Montreal Protocol. Sporadic volcanic events and the solar cycle have a distinct signature in the time series of stratospheric temperature anomalies but do not play a statistically significant role in the long-term trends from 1979 to 2014. Several factors combine to produce the step-like behavior in the stratospheric temperatures: in the lower stratosphere, the flattening starting in the mid-1990s is due to the decrease in ozone-depleting substances; Mount Pinatubo and the solar cycle cause the abrupt steps through the aerosol-associated warming and the volcanically induced ozone depletion. In the middle and upper stratosphere, changes in solar irradiance are largely

Age- and treatment-related associations with health behavior change among breast cancer survivors.

Science.gov (United States)

Anderson, Chelsea; Sandler, Dale P; Weinberg, Clarice R; Houck, Kevin; Chunduri, Minal; Hodgson, M Elizabeth; Sabatino, Susan A; White, Mary C; Rodriguez, Juan L; Nichols, Hazel B

2017-06-01

The aim of this study was to identify demographic and treatment-related factors associated with health-promoting behavior changes after a breast cancer diagnosis. Changes in health behaviors were also evaluated according to weight, exercise, diet and alcohol consumption patterns before breast cancer diagnosis. We examined self-reported behavior changes among 1415 women diagnosed with breast cancer in the NIEHS Sister Study cohort. Women reported changes in exercising, eating healthy foods, maintaining a healthy body weight, drinking alcohol, smoking, getting enough sleep, spending time with family and friends, and participating in breast cancer awareness events. On average, women were 3.7 years from their breast cancer diagnosis. Overall, 20-36% reported positive changes in exercise, eating healthy foods, maintaining a healthy weight, or alcohol consumption. However, 17% exercised less. With each 5-year increase in diagnosis age, women were 11-16% less likely to report positive change in each of these behaviors (OR = 0.84-0.89; p exercise, eating healthy foods, efforts to maintain a healthy weight, alcohol consumption, sleep patterns, or time spent with family or friends. Many women reported no change in cancer survivorship guideline-supported behaviors after diagnosis. Positive changes were more common among younger women or those who underwent chemotherapy. Copyright © 2017 Elsevier Ltd. All rights reserved.

Can agent based models effectively reduce fisheries management implementation uncertainty?

Science.gov (United States)

Drexler, M.

2016-02-01

Uncertainty is an inherent feature of fisheries management. Implementation uncertainty remains a challenge to quantify often due to unintended responses of users to management interventions. This problem will continue to plague both single species and ecosystem based fisheries management advice unless the mechanisms driving these behaviors are properly understood. Equilibrium models, where each actor in the system is treated as uniform and predictable, are not well suited to forecast the unintended behaviors of individual fishers. Alternatively, agent based models (AMBs) can simulate the behaviors of each individual actor driven by differing incentives and constraints. This study evaluated the feasibility of using AMBs to capture macro scale behaviors of the US West Coast Groundfish fleet. Agent behavior was specified at the vessel level. Agents made daily fishing decisions using knowledge of their own cost structure, catch history, and the histories of catch and quota markets. By adding only a relatively small number of incentives, the model was able to reproduce highly realistic macro patterns of expected outcomes in response to management policies (catch restrictions, MPAs, ITQs) while preserving vessel heterogeneity. These simulations indicate that agent based modeling approaches hold much promise for simulating fisher behaviors and reducing implementation uncertainty. Additional processes affecting behavior, informed by surveys, are continually being added to the fisher behavior model. Further coupling of the fisher behavior model to a spatial ecosystem model will provide a fully integrated social, ecological, and economic model capable of performing management strategy evaluations to properly consider implementation uncertainty in fisheries management.

Crowd-Designed Motivation: Motivational Messages for Exercise Adherence Based on Behavior Change Theory

NARCIS (Netherlands)

de Vries, R.A.J.; Truong, Khiet Phuong; Kwint, Sigrid; Drossaert, Constance H.C.; Evers, Vanessa

2016-01-01

Developing motivational technology to support long-term behavior change is a challenge. A solution is to incorporate insights from behavior change theory and design technology to tailor to individual users. We carried out two studies to investigate whether the processes of change, from the

A hybrid agent-based approach for modeling microbiological systems.

Science.gov (United States)

Guo, Zaiyi; Sloot, Peter M A; Tay, Joc Cing

2008-11-21

Models for systems biology commonly adopt Differential Equations or Agent-Based modeling approaches for simulating the processes as a whole. Models based on differential equations presuppose phenomenological intracellular behavioral mechanisms, while models based on Multi-Agent approach often use directly translated, and quantitatively less precise if-then logical rule constructs. We propose an extendible systems model based on a hybrid agent-based approach where biological cells are modeled as individuals (agents) while molecules are represented by quantities. This hybridization in entity representation entails a combined modeling strategy with agent-based behavioral rules and differential equations, thereby balancing the requirements of extendible model granularity with computational tractability. We demonstrate the efficacy of this approach with models of chemotaxis involving an assay of 10(3) cells and 1.2x10(6) molecules. The model produces cell migration patterns that are comparable to laboratory observations.

Agent-based modeling and simulation Part 3 : desktop ABMS.

Energy Technology Data Exchange (ETDEWEB)

Macal, C. M.; North, M. J.; Decision and Information Sciences

2007-01-01

Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support their research. Some have gone so far as to contend that ABMS 'is a third way of doing science,' in addition to traditional deductive and inductive reasoning (Axelrod 1997b). Computational advances have made possible a growing number of agent-based models across a variety of application domains. Applications range from modeling agent behavior in the stock market, supply chains, and consumer markets, to predicting the spread of epidemics, the threat of bio-warfare, and the factors responsible for the fall of ancient civilizations. This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing agent models, and illustrates the development of a simple agent-based model of shopper behavior using spreadsheets.

Immune–neural connections: how the immune system’s response to infectious agents influences behavior

Science.gov (United States)

McCusker, Robert H.; Kelley, Keith W.

2013-01-01

Summary Humans and animals use the classical five senses of sight, sound, touch, smell and taste to monitor their environment. The very survival of feral animals depends on these sensory perception systems, which is a central theme in scholarly research on comparative aspects of anatomy and physiology. But how do all of us sense and respond to an infection? We cannot see, hear, feel, smell or taste bacterial and viral pathogens, but humans and animals alike are fully aware of symptoms of sickness that are caused by these microbes. Pain, fatigue, altered sleep pattern, anorexia and fever are common symptoms in both sick animals and humans. Many of these physiological changes represent adaptive responses that are considered to promote animal survival, and this constellation of events results in sickness behavior. Infectious agents display a variety of pathogen-associated molecular patterns (PAMPs) that are recognized by pattern recognition receptors (PRRs). These PRR are expressed on both the surface [e.g. Toll-like receptor (TLR)-4] and in the cytoplasm [e.g. nucleotide-binding oligomerization domain (Nod)-like receptors] of cells of the innate immune system, primarily macrophages and dendritic cells. These cells initiate and propagate an inflammatory response by stimulating the synthesis and release of a variety of cytokines. Once an infection has occurred in the periphery, both cytokines and bacterial toxins deliver this information to the brain using both humoral and neuronal routes of communication. For example, binding of PRR can lead to activation of the afferent vagus nerve, which communicates neuronal signals via the lower brain stem (nucleus tractus solitarius) to higher brain centers such as the hypothalamus and amygdala. Blood-borne cytokines initiate a cytokine response from vascular endothelial cells that form the blood–brain barrier (BBB). Cytokines can also reach the brain directly by leakage through the BBB via circumventricular organs or by being

Analysis of behavioral change techniques in community-led total sanitation programs.

Science.gov (United States)

Sigler, Rachel; Mahmoudi, Lyana; Graham, Jay Paul

2015-03-01

The lack of sanitation facilitates the spread of diarrheal diseases-a leading cause of child deaths worldwide. As of 2012, an estimated 1 billion people still practiced open defecation (OD). To address this issue, one behavioral change approach used is community-led total sanitation (CLTS). It is now applied in an estimated 66 countries worldwide, and many countries have adopted this approach as their main strategy for scaling up rural sanitation coverage. While it appears that many of the activities used in CLTS-that target community-level changes in sanitation behaviors instead of household-level changes-have evolved out of existing behavior change frameworks and techniques, it is less clear how these activities are adapted by different organizations and applied in different country contexts. The aims of this study are to (i) show which behavior change frameworks and techniques are the most common in CLTS interventions; (ii) describe how activities are implemented in CLTS interventions by region and context; and (3) determine which activities program implementers considered the most valuable in achieving open defecation free (ODF) status and sustaining it. The results indicate that a wide range of activities are conducted across the different programs and often go beyond standard CLTS activities. CLTS practitioners ranked follow-up and monitoring activities as the most important activities for achieving an ODF community, yet only 1 of 10 organizations conducted monitoring and follow-up throughout their project. Empirical studies are needed to determine which specific behavioral change activities are most effective at ending OD and sustaining it. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Generating Culture-Specific Gestures for Virtual Agent Dialogs

DEFF Research Database (Denmark)

Endrass, Birgit; Damian, Ionut; Huber, Peter

2010-01-01

Integrating culture into the behavioral model of virtual agents has come into focus lately. When investigating verbal aspects of behavior, nonverbal behaviors are desirably added automatically, driven by the speech-act. In this paper, we present a corpus driven approach of generating gestures...

Applying social marketing in health care: communicating evidence to change consumer behavior.

Science.gov (United States)

Evans, W Douglas; McCormack, Lauren

2008-01-01

Social marketing uses commercial marketing strategies to change individual and organizational behavior and policies. It has been effective on a population level across a wide range of public health and health care domains. There is limited evidence of the effectiveness of social marketing in changing health care consumer behavior through its impact on patient-provider interaction or provider behavior. Social marketers need to identify translatable strategies (e.g., competition analysis, branding, and tailored messages) that can be applied to health care provider and consumer behavior. Three case studies from social marketing illustrate potential strategies to change provider and consumer behavior. Countermarketing is a rapidly growing social marketing strategy that has been effective in tobacco control and may be effective in countering pharmaceutical marketing using specific message strategies. Informed decision making is a useful strategy when there is medical uncertainty, such as in prostate cancer screening and treatment. Pharmaceutical industry marketing practices offer valuable lessons for developing competing messages to reach providers and consumers. Social marketing is an effective population-based behavior change strategy that can be applied in individual clinical settings and as a complement to reinforce messages communicated on a population level. There is a need for more research on message strategies that work in health care and population-level effectiveness studies.

Predicting behavior change from persuasive messages using neural representational similarity and social network analyses.

Science.gov (United States)

Pegors, Teresa K; Tompson, Steven; O'Donnell, Matthew Brook; Falk, Emily B

2017-08-15

Neural activity in medial prefrontal cortex (MPFC), identified as engaging in self-related processing, predicts later health behavior change. However, it is unknown to what extent individual differences in neural representation of content and lived experience influence this brain-behavior relationship. We examined whether the strength of content-specific representations during persuasive messaging relates to later behavior change, and whether these relationships change as a function of individuals' social network composition. In our study, smokers viewed anti-smoking messages while undergoing fMRI and we measured changes in their smoking behavior one month later. Using representational similarity analyses, we found that the degree to which message content (i.e. health, social, or valence information) was represented in a self-related processing MPFC region was associated with later smoking behavior, with increased representations of negatively valenced (risk) information corresponding to greater message-consistent behavior change. Furthermore, the relationship between representations and behavior change depended on social network composition: smokers who had proportionally fewer smokers in their network showed increases in smoking behavior when social or health content was strongly represented in MPFC, whereas message-consistent behavior (i.e., less smoking) was more likely for those with proportionally more smokers in their social network who represented social or health consequences more strongly. These results highlight the dynamic relationship between representations in MPFC and key outcomes such as health behavior change; a complete understanding of the role of MPFC in motivation and action should take into account individual differences in neural representation of stimulus attributes and social context variables such as social network composition. Copyright © 2017 Elsevier Inc. All rights reserved.

Development of the Systems Thinking Scale for Adolescent Behavior Change.

Science.gov (United States)

Moore, Shirley M; Komton, Vilailert; Adegbite-Adeniyi, Clara; Dolansky, Mary A; Hardin, Heather K; Borawski, Elaine A

2018-03-01

This report describes the development and psychometric testing of the Systems Thinking Scale for Adolescent Behavior Change (STS-AB). Following item development, initial assessments of understandability and stability of the STS-AB were conducted in a sample of nine adolescents enrolled in a weight management program. Exploratory factor analysis of the 16-item STS-AB and internal consistency assessments were then done with 359 adolescents enrolled in a weight management program. Test-retest reliability of the STS-AB was .71, p = .03; internal consistency reliability was .87. Factor analysis of the 16-item STS-AB indicated a one-factor solution with good factor loadings, ranging from .40 to .67. Evidence of construct validity was supported by significant correlations with established measures of variables associated with health behavior change. We provide beginning evidence of the reliability and validity of the STS-AB to measure systems thinking for health behavior change in young adolescents.

Counseling for health behavior change in people with COPD: systematic review

Directory of Open Access Journals (Sweden)

Williams MT

2017-07-01

Full Text Available Marie T Williams,1 Tanja W Effing,2,3 Catherine Paquet,4 Carole A Gibbs,5 Hayley Lewthwaite,1 Lok Sze Katrina Li,6 Anna C Phillips,6 Kylie N Johnston6 1Health and Alliance for Research in Exercise, Nutrition and Activity (ARENA, School of Health Sciences, Sansom Institute for Health Research, University of South Australia, 2Department of Respiratory Medicine, Repatriation General Hospital, 3School of Medicine, Flinders University, 4Division of Health Sciences, Centre for Population Health Research, School of Health Sciences, Sansom Institute for Health Research, 5Library, University of South Australia, 6Division of Health Sciences, School of Health Sciences, Sansom Institute for Health Research, University of South Australia, Adelaide, SA, Australia Abstract: Counseling has been suggested as a promising approach for facilitating changes in health behavior. The aim of this systematic review of counseling interventions for people with COPD was to describe: 1 counseling definitions, 2 targeted health behaviors, 3 counseling techniques and 4 whether commonalities in counseling techniques were associated with improved health behaviors. Ten databases were searched for original randomized controlled trials which included adults with COPD, used the term “counseling” as a sole or component of a multifaceted intervention and were published in the previous 10 years. Data extraction, study appraisal and coding for behavior change techniques (BCTs were completed by two independent reviewers. Data were synthesized descriptively, with meta-analysis conducted where possible. Of the 182 studies reviewed as full-text, 22 were included. A single study provided a definition for counseling. Two key behaviors were the main foci of counseling: physical activity (n=9 and smoking cessation (n=8. Six studies (27% reported underlying models and/or theoretical frameworks. Counseling was the sole intervention in 10 studies and part of a multicomponent intervention in 12

Changing beliefs and behavior through experience-taking.