Agent-Based Models

ISBN-10: 1412949645

ISBN-13: 9781412949644

Edition: 2008

Authors: Nigel Gilbert

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Description:

Agent-based modeling (ABM) is a technique increasingly used in a broad range of social sciences. It involves building a computational model consisting of agents, each of which represents an actor in the social world, and an "environment" in which the agents act. Agents are able to interact with each other and are programmed to be pro-active, autonomous and able to perceive their virtual world. The techniques of ABM are derived from artificial intelligence and computer science, but are now being developed independently in research centers throughout the world. In Agent-Based Models , Nigel Gilbert reviews a range of examples of agent-based modeling, describes how to design and build your own models, and considers practical issues such as verification, validation, planning a modeling project, and how to structure a scholarly article reporting the results of agent-based modeling. It includes a glossary, an annotated list of resources, advice on which programming environment to use when creating agent-based models, and a worked, step-by-step example of the development of an ABM. This latest volume in the SAGE Quantitative Applications in the Social Sciences series will have wide appeal in the social sciences, including the disciplines of sociology, economics, social psychology, geography, economic history, science studies, and environmental studies. It is appropriate for graduate students, researchers and academics in these fields, for both those wanting to keep up with new developments in their fields and those who are considering using ABM for their research. Key Features Aimed at readers who are new to ABM Offers a brief, but thorough, treatment of a cutting-edge technique Offers practical advice about how to design and create ABM Includes carefully chosen examples from different disciplines
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Book details

List price: $22.00
Copyright year: 2008
Publisher: SAGE Publications, Incorporated
Publication date: 9/14/2007
Binding: Paperback
Pages: 112
Size: 5.75" wide x 8.75" long x 0.50" tall
Weight: 0.924

Nigel Gilbert read for a first degree in Engineering, intending to go into the computer industry. However, he was lured into sociology and obtained his doctorate on the sociology of scientific knowledge from the University of Cambridge, under the supervision of Michael Mulkay. His research and teaching interests have reflected his continuing interest in both sociology and computer science (and engineering more widely). His main research interests are processual theories of social phenomena, the development of computational sociology and the methodology of computer simulation, especially agent-based modelling. He is Director of the Centre for Research in Social Simulation. He is also Director of the University's Institute of Advanced Studies and responsible for its development as a leading centre for intellectual interchange. He is the author or editor of several textbooks on sociological methods of research and statistics and editor of the Journal of Artificial Societies and Social Simulation.

Series Editor's Introduction
Preface
Acknowledgments
The Idea of Agent-Based Modeling
Agent-Based Modeling
Some Examples
The Features of Agent-Based Modeling
Other Related Modeling Approaches
Agents, Environments, and Timescales
Agents
Environments
Randomness
Time
Using Agent-Based Models in Social Science Research
An Example of Developing an Agent-Based Model
Verification: Getting Rid of the Bugs
Validation
Techniques for Validation
Summary
Designing and Developing Agent-Based Models
Modeling Toolkits, Libraries, Languages, Frameworks, and Environments
Using NetLogo to Build Models
Building the Collectivities Model Step by Step
Planning an Agent-Based Model Project
Reporting Agent-Based Model Research
Summary
Advances in Agent-Based Modeling
Geographical Information Systems
Learning
Simulating Language
Resources
Glossary
References
Index
About the Author
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