Agent-Based Models

Second Edition
Nigel Gilbert
Quantitative Applications in the Social Sciences
Agent-Based Models
December 2019 | 128 pages | Sage US
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Description

Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.  An accompanying simulation using NetLogo and commentary on the program can be downloaded on the book's website: https://study.sagepub.com/researchmethods/qass/gilbert-agent-based-models-2e 



Contents

Series Editor's Introduction

Series Editor's Introduction

Preface

Preface

Acknowledgments

Acknowledgments

About the Author

About the Author

Chapter 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

Chapter 2: Agents, Environments, and Timescales

  • 2.1 Agents
  • 2.2 Environments
  • 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

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
  • 4.6 Techniques for Validation

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

Glossary

References

References

Index

Index

Description

Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.  An accompanying simulation using NetLogo and commentary on the program can be downloaded on the book's website: https://study.sagepub.com/researchmethods/qass/gilbert-agent-based-models-2e 



Contents

Series Editor's Introduction

Series Editor's Introduction

Preface

Preface

Acknowledgments

Acknowledgments

About the Author

About the Author

Chapter 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

Chapter 2: Agents, Environments, and Timescales

  • 2.1 Agents
  • 2.2 Environments
  • 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

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
  • 4.6 Techniques for Validation

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

Glossary

References

References

Index

Index

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Agent-Based Models

Nigel Gilbert
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December 2019 | 128 pages | Sage US

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Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert's Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based modelling project, publish the results and apply agent-based modeling to formulate and evaluate social and economic policies.  An accompanying simulation using NetLogo and commentary on the program can be downloaded on the book's website: https://study.sagepub.com/researchmethods/qass/gilbert-agent-based-models-2e 




Table Of Contents:

  • Series Editor's Introduction
  • Preface
  • Acknowledgments
  • About the Author
  • Chapter 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
  • Chapter 2: Agents, Environments, and Timescales
  • 2.1 Agents
  • 2.2 Environments
  • 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
  • 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
  • 4.6 Techniques for Validation
  • 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

Recent Product Reviews:

The new edition of Agent-Based Models provides the same strong conceptual overview as the first edition, with significant updates and elaborations to reflect ten years of growth in this important approach to modeling.
Sally Jackson, University of Illinois at Urbana-Champaign
Nigel Gilbert is one of the fathers of agent-based modeling and in this book provides a great introduction into the field.
Garry Sotnik, Portland State University
A great introduction for social scientists who want to know about agent-based modeling. It offers readers guidelines on how to build such models and what to consider when designing and testing them.
Andrew Crooks, George Mason University
If you are planning to motivate and introduce the field of agent-based modeling to social scientists who have little or no prior knowledge of the topic, then this is your book.
James Nolan, University of Sasketchewan

Recommendations