Agent-Based Models

1. Auflage 2007
ISBN: 978-1-4129-4964-4
Verlag: SAGE Publications, Inc

Buch, Englisch, Band 153, 112 Seiten, Format (B × H): 139 mm x 207 mm, Gewicht: 142 g

Reihe: Quantitative Applications in the Social Sciences

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.

Autoren/Hrsg.

Gilbert, Nigel

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Demographie, Demoskopie

Inhaltsverzeichnis

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

Über Autor(innen)

Gilbert, Nigel
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.