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Biographical note
Nigel Gilbert is Professor of Sociology at the University of Surrey, Guildford, England. He is the author or editor of 34 books and many academic papers and was the founding editor of the Journal of Artificial Societies and Social Simulation. His current research focuses on the application of agent-based models to understanding social and economic phenomena, especially the emergence of norms, culture, and innovation. He obtained a doctorate in the sociology of scientific knowledge in 1974 from the University of Cambridge and has subsequently taught at the universities of York and Surrey in England. He is one of the pioneers in the field of social simulation and is past president of the European Social Simulation Association. He is a Fellow of the UK Academy of Social Sciences and of the Royal Academy of Engineering.The new edition of <em>Agent-Based Models</em> 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. <br />
- Sally Jackson, review
Nigel Gilbert is one of the fathers of agent-based modeling and in this book provides a great introduction into the field. <br />
- Garry Sotnik, Review
<p>A great introduction for social scientists who want to know about agent-based modeling. It offers readers guidelines on how to build such models and what to consider when designing and testing them. </p>
- Andrew Crooks, Review
If you are planning to motivate and introduce the field of agent-based modeling to social scientists who have little or no prior knowledge of the topic, then this is your book. <br />
- James Nolan, Review
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.
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.