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:

The Idea of Agent-Based Modeling

This short book explains what agent-based modeling is. It warns of some dangers and describes typical ways of doing agent-based modeling. And it offers a range of examples from many of the social sciences.

This first chapter begins with a brief overview of agent-based modeling before contrasting it with other, perhaps more familiar forms of modeling and describing several examples of current agent-based modeling research. Chapter 2 goes into more detail, considering a range of methodological and theoretical issues and explaining what an agent is. Chapter 3 dives into the specifics, showing with a simple example how one can design an agent-based model. Chapter 4 provides some practical advice about developing, verifying, and validating agent-based models. Finally, Chapter 5 discusses ...

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