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Agent-Based Models
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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.  An accompanying simulation using NetLogo and commentary on the program can be downloaded on the book's website: https://study.sagepub.com/researchmethods/qass/gilbert-agent-based-models-2e 




 
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

Sample Materials & Chapters

Chapter 1. The Idea of Agent-Based Modeling


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