Agent-based Models

Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.

Series Editor's Introduction Preface Acknowledgments
The Idea of Agent-Based Modeling
Agent-Based Modeling
Some Examples
The Features of Agent-Based Modeling
Other Related Modeling Approaches
Agents, Environments, and Timescales
Agents
Environments
Randomness
Time
Using Agent-Based Models in Social Science Research
An Example of Developing an Agent-Based Model
Verification: Getting Rid of the Bugs
Validation
Techniques for Validation
Summary
Designing and Developing Agent-Based Models
Modeling Toolkits, Libraries, Languages, Frameworks, and Environments
Using NetLogo to Build Models
Building the Collectivities Model Step by Step
Planning an ABM Project
Reporting Agent-Based Model Research
Summary
Advances in Agent-Based Modeling
Geographical Information Systems
Learning
Simulating Language
Resources
Glossary
References
Index
About the Author
Table of Contents provided by Publisher. All Rights Reserved.

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Summary

Table of Contents

Supplemental Materials