Agent-based models

By: Gilbert, Nigel
Material type: TextTextSeries: Quantitative applications in the social science 153Publisher: Thousand Oaks Sage Publications 2020Edition: 2ndDescription: xv, 112 p.: ill. Includes references and indexISBN: 9781506355603Subject(s): Computer simulation | Statistics - Models | Social sciences - MethodsDDC classification: 519.3 Summary: Agent-based simulation has become increasingly popular as a modelling 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 modelling to formulate and evaluate social and economic policies. https://in.sagepub.com/en-in/sas/agent-based-models/book251732
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Slot 1407 (0 Floor, East Wing) Non-fiction 519.3 G4A4 (Browse shelf) Available 204037

Table of Contents

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
Glossary
References
Index

Agent-based simulation has become increasingly popular as a modelling 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 modelling to formulate and evaluate social and economic policies.

https://in.sagepub.com/en-in/sas/agent-based-models/book251732

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