- Nigel Gilbert - University of Surrey, UK
Quantitative/Statistical Research | Statistical Computing Environments
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
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.
Nigel Gilbert is one of the fathers of agent-based modeling and in this book provides a great introduction into the field.
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.
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.
Sample Materials & Chapters
Chapter 1. The Idea of Agent-Based Modeling