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Agent-based models
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Agent-based models

Author: G Nigel Gilbert
Publisher: Los Angeles : Sage Publications, ©2008.
Series: Sage university papers series., Quantitative applications in the social sciences ;, no. 07-153.
Edition/Format:   Book : EnglishView all editions and formats
Summary:
"Agent-Based Models is a short, straightforward primer that introduces an increasingly popular form of modeling in the social sciences. Reviewing a range of examples, author Nigel Gilbert gives practical advice on how to design and build agent-based models. The book also considers practical issues such as planning a modeling project, verification, validation, and how to structure a scholarly article reporting the  Read more...
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Details

Genre/Form: Einführung
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: G Nigel Gilbert
ISBN: 9781412949644 1412949645
OCLC Number: 122974218
Description: xiii, 98 p. : ill. ; 22 cm.
Contents: 1. The Idea of Agent-Based Modeling --
1.1 Agent-Based Modeling --
1.1.1 A Computational Method --
1.1.2 Experiments --
1.1.3 Models --
1.1.4 Agents --
1.1.5 The Environment --
1.2 Some Examples --
1.2.1 Urban Models --
1.2.2 Opinion Dynamics --
1.2.3 Consumer Behavior --
1.2.4 Industrial Networks --
1.2.5 Supply Chain Management --
1.2.6 Electricity Markets --
1.2.7 Participative and Companion Modeling --
1.3 The Features of Agent-Based Modeling --
1.3.1 Ontological Correspondence --
1.3.2 Heterogeneous Agents --
1.3.3 Representation of the Environment --
1.3.4 Agent Interactions --
1.3.5 Bounded Rationality --
1.3.6 Learning --
1.4 Other Related Modeling Approaches --
1.4.1 Microsimulation --
1.4.2 System Dynamics --
2. Agents, Environments, and Timescales --
2.1 Agents --
2.1.1 Ad-Hoc Programming --
2.1.2 Production Rule Systems --
2.1.3 Neural Networks --
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 --
3.1.1 Macro-Level Regularities --
3.1.2 Micro-Level Behavior --
3.1.3 Designing a Model --
3.1.4 Verification --
3.2 Verification: Getting Rid of the Bugs --
3.3 Validation --
3.3.1 Abstract Models --
3.3.2 Middle Range Models --
3.3.3 Facsimile Models --
3.4 Techniques for Validation --
3.4.1 Comparing Theory and the Model: Sensitivity Analysis --
3.4.2 Comparing the Model and Empirical Data --
3.5 Summary --
4. Designing and Developing Agent-Based Models --
4.1 Modeling Toolkits, Libraries, Languages, Frameworks, and Environments --
4.1.1 Repast --
4.1.2 Mason --
4.1.3 NetLogo --
4.1.4 Comparison --
4.2 Using NetLogo to Build Models --
4.3 Building the Collectivities Model Step by Step --
4.3.1 Commentary on the Program --
4.4 Planning an ABM Project --
4.5 Reporting Agent-Based Model Research --
4.6 Summary --
5. Advances in Agent-Based Modeling --
5.1 Geographical Information Systems (GIS) --
5.2 Learning --
5.2.1 Reinforcement Learning --
5.2.2 Evolutionary Computation --
5.3 Simulating Language --
Resources --
Glossary --
References --
Index --
About the Author.
Series Title: Sage university papers series., Quantitative applications in the social sciences ;, no. 07-153.
Responsibility: Nigel Gilbert.
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