Agent-Based Models
1st Edition
Published on 12. November 2007
Book
Paperback/Softback
112 pages
978-1-4129-4964-4 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Product notice
Paperback (trade)
Dimensions
Height: 207 mm
Width: 139 mm
Thickness: 6 mm
Weight
54 gr
ISBN-13
978-1-4129-4964-4 (9781412949644)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Nigel Gilbert
Agent-Based Models
Book
05/2020
2nd Edition
SAGE Publications Inc
€65.86
Shipment within 15-20 days
Person
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.
Content
Series Editor's Introduction
Preface
Acknowledgments
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
2. Agents, Environments, and Timescales
2.1 Agents
2.2 Environments
2.3 Randomness
2.4 Time
3. Using Agent-Based Models in Social Science Research
3.1 An Example of Developing an Agent-Based Model
3.2 Verification: Getting Rid of the Bugs
3.3 Validation
3.4 Techniques for Validation
3.5 Summary
4. Designing and Developing Agent-Based Models
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 Planning an Agent-Based Model Project
4.5 Reporting Agent-Based Model Research
4.6 Summary
5. Advances in Agent-Based Modeling
5.1 Geographical Information Systems
5.2 Learning
5.3 Simulating Language
Resources
Glossary
References
Index
About the Author
Preface
Acknowledgments
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
2. Agents, Environments, and Timescales
2.1 Agents
2.2 Environments
2.3 Randomness
2.4 Time
3. Using Agent-Based Models in Social Science Research
3.1 An Example of Developing an Agent-Based Model
3.2 Verification: Getting Rid of the Bugs
3.3 Validation
3.4 Techniques for Validation
3.5 Summary
4. Designing and Developing Agent-Based Models
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 Planning an Agent-Based Model Project
4.5 Reporting Agent-Based Model Research
4.6 Summary
5. Advances in Agent-Based Modeling
5.1 Geographical Information Systems
5.2 Learning
5.3 Simulating Language
Resources
Glossary
References
Index
About the Author