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Agent-based models

G. Nigel Gilbert (Author)
"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. A website to accompany the book includes a simulation using NetLogo"-- Provided by publisher
Print Book, English, 2020
Second edition View all formats and editions
SAGE Publications, Inc., Thousand Oaks, California, 2020
xv, 112 pages : illustrations ; 22 cm.
9781506355603, 1506355609
Series Editor′s IntroductionPrefaceAcknowledgmentsAbout the AuthorChapter 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 ApproachesChapter 2: Agents, Environments, and Timescales 2.1 Agents 2.2 Environments 2.3 Randomness 2.4 Time 2.5 Population LearningChapter 3: Designing an Agent-Based Model 3.1 Design Steps 3.2 An Example of Developing an Agent-Based ModelChapter 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 ValidationChapter 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 PolicyResources Societies and Associations Journals Mailing List and Web SitesGlossaryReferencesIndex