Agent-Based Models

Оглавление

Nigel Gilbert. Agent-Based Models

Agent-Based Models

Agent-Based Models

Contents

Series Editor’s Introduction

Preface

Acknowledgments

About the Author

Chapter 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 Modeling Policy

1.2.8 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

1.4.3 Discrete Event Simulation

Descriptions of Images and Figures

Chapter 2 Agents, Environments, And Timescales

2.1 Agents

2.1.1 Agents as Objects

2.1.2 Production Rule Systems

2.1.3 Agents That Learn

2.1.4 Cognitive Models

The Belief-Desires-Intention Model

Normative Agents

2.2 Environments

2.2.1 Features of Environments

2.2.2 Geography

2.3 Randomness

2.4 Time

2.5 Population Learning

Chapter 3 Designing An Agent-Based Model

3.1 Design Steps

3.2 An Example of Developing an Agent-Based Model

3.2.1 Macrolevel Features and Patterns

3.2.2 Microlevel Behavior

3.2.3 Designing a Model. Related Models

The Model

Descriptions of Images and Figures

Chapter 4 Developing An Agent-Based Model. 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 Verification: Getting Rid of the Bugs

4.5 Validation

4.5.1 Abstract Models

4.5.2 Middle-Range Models

4.5.3 Facsimile Models

4.5.4 Complexity

4.6 Techniques for Validation

4.6.1 Comparing Theory and the Model: Sensitivity Analysis

4.6.2 Comparing the Model and Empirical Data

Appendix: The Features of Simulation Libraries and Environments

Descriptions of Images and Figures

Chapter 5 Using Agent-Based Models. 5.1 Planning an Agent-Based Modeling Project

5.2 Reporting Agent-Based Model Research

5.3 Agent-Based Models for Public Policy

Resources. Societies and Associations

Journals

Mailing List and Web Sites

Glossary

References

Index

Отрывок из книги

Second Edition

A SAGE PUBLICATIONS SERIES

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Agent-based modeling is a fast-moving area, especially in breadth of application. In addition, ABMs are increasingly a focus of interdisciplinary collaboration, between social/behavioral scientists from different disciplines (e.g., sociology and geography), between social/behavioral science and natural science (e.g., environmental science), and between social/behavioral science and computer science. Depending on purpose, the rules central to agent-based models can be derived from theory, past empirical research, and/or conversations with local experts. Indeed, ABMs are increasingly used in community-based participatory research. Given these trends, the need for a generally accessible primer is even greater now than when the first edition was published in 2007. This second edition fully satisfies that need.

Barbara Entwisle

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