Agent-based models

著者

書誌事項

Agent-based models

Nigel Gilbert

（Sage publications series, . Quantitative applications in the social sciences ; v. 153）

Sage, c2020

2nd ed

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注記

Summary: "Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies. A website to accompany the book includes a simulation using NetLogo"-- Provided by publisher

Includes bibliographical references and index

内容説明・目次

内容説明

Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.

目次

Series Editor's Introduction Preface Acknowledgments About the Author Chapter 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 Chapter 2: Agents, Environments, and Timescales 2.1 Agents 2.2 Environments 2.3 Randomness 2.4 Time 2.5 Population Learning Chapter 3: Designing an Agent-Based Model 3.1 Design Steps 3.2 An Example of Developing an Agent-Based Model Chapter 4: Developing an Agent-Based Model 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 Verification: Getting Rid of the Bugs 4.5 Validation 4.6 Techniques for Validation Chapter 5: Using Agent-Based Models 5.1 Planning an Agent-Based Modeling Project 5.2 Reporting Agent-Based Model Research 5.3 Agent-Based Models for Public Policy Resources Societies and Associations Journals Mailing List and Web Sites Glossary References Index

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