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What are agent-based models?
TLDR
This chapter discusses designing and Developing Agent-Based Models, and building the Collectivities Model Step by Step, as well as reporting on advances in agent-Based Modeling.Abstract:
Series Editor's Introduction Preface Acknowledgments 1. The Idea of Agent-Based Modeling 1.1 Agent-Based Modeling 1.2 Some Examples 1.3 The Features of Agent-Based Modeling 1.4 Other Related Modeling Approaches 2. Agents, Environments, and Timescales 2.1 Agents 2.2 Environments 2.3 Randomness 2.4 Time 3. Using Agent-Based Models in Social Science Research 3.1 An Example of Developing an Agent-Based Model 3.2 Verification: Getting Rid of the Bugs 3.3 Validation 3.4 Techniques for Validation 3.5 Summary 4. Designing and Developing Agent-Based Models 4.1 Modeling Toolkits, Libraries, Languages, Frameworks, and Environments 4.2 Using NetLogo to Build Models 4.3 Building the Collectivities Model Step by Step 4.4 Planning an Agent-Based Model Project 4.5 Reporting Agent-Based Model Research 4.6 Summary 5. Advances in Agent-Based Modeling 5.1 Geographical Information Systems 5.2 Learning 5.3 Simulating Language Resources Glossary References Index About the Authorread more
Citations
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References
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Journal ArticleDOI
Intelligent Agents: Theory and Practice
TL;DR: Agent theory is concerned with the question of what an agent is, and the use of mathematical formalisms for representing and reasoning about the properties of agents as discussed by the authors ; agent architectures can be thought of as software engineering models of agents; and agent languages are software systems for programming and experimenting with agents.
Journal ArticleDOI
Dynamic models of segregation
TL;DR: The systemic effects are found to be overwhelming: there is no simple correspondence of individual incentive to collective results, and a general theory of ‘tipping’ begins to emerge.
Journal ArticleDOI
Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review
TL;DR: In this paper, an overview of multi-agent system models of land-use/cover change (MAS/LUCC) is presented, which combine a cellular landscape model with agent-based representations of decisionmaking, integrating the two components through specification of interdependencies and feedbacks between agents and their environment.
Journal ArticleDOI
FROM FACTORS TO ACTORS: Computational Sociology and Agent-Based Modeling
Michael W. Macy,Robert Willer +1 more
TL;DR: Agent-based models (ABMs) as mentioned in this paper have been widely used in computational sociology to model social life as interactions among adaptive agents who influence one another in response to the influence they receive, such as diffusion of information, emergence of norms, coordination of conventions or participation in collective action.
Journal ArticleDOI
Rationality in Psychology and Economics
TL;DR: The authors compare and contrast the concepts of rationality that are prevalent in psychology and economics, respectively, and conclude that economics has almost uniformly treated human behavior as rational and psychology has always been concerned with both the irrational and the rational aspects of behavior.