The second edition of this popular book introduces agent-based modeling, an increasingly popular approach enabling researchers to build models where individual entities and their interactions are directly represented. 

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

The new edition of Agent-Based Models provides the same strong conceptual overview as the first edition, with significant updates and elaborations to reflect ten years of growth in this important approach to modeling.