Del 153 - Quantitative Applications in the Social Sciences

Agent-Based Models

Häftad, Engelska, 2020

659 kr

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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.

Produktinformation

Utgivningsdatum2020-05-07
Mått139 x 215 x 12 mm
Vikt160 g
FormatHäftad
SpråkEngelska
SerieQuantitative Applications in the Social Sciences
Antal sidor128
Upplaga2
FörlagSAGE Publications
ISBN9781506355603

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Nigel Gilbert is Professor of Sociology at the University of Surrey, Guildford, England. He is the author or editor of 34 books and many academic papers and was the founding editor of the Journal of Artificial Societies and Social Simulation. His current research focuses on the application of agent-based models to understanding social and economic phenomena, especially the emergence of norms, culture, and innovation. He obtained a doctorate in the sociology of scientific knowledge in 1974 from the University of Cambridge and has subsequently taught at the universities of York and Surrey in England. He is one of the pioneers in the field of social simulation and is past president of the European Social Simulation Association. He is a Fellow of the UK Academy of Social Sciences and of the Royal Academy of Engineering.

Series Editor′s IntroductionPrefaceAcknowledgmentsAbout the AuthorChapter 1: The Idea of Agent-Based Modeling1.1 Agent-Based Modeling1.2 Some Examples1.3 The Features of Agent-Based Modeling1.4 Other Related Modeling ApproachesChapter 2: Agents, Environments, and Timescales2.1 Agents2.2 Environments2.3 Randomness2.4 Time2.5 Population LearningChapter 3: Designing an Agent-Based Model3.1 Design Steps3.2 An Example of Developing an Agent-Based ModelChapter 4: Developing an Agent-Based Model4.1 Modeling Toolkits, Libraries, Languages, Frameworks, and Environments4.2 Using NetLogo to Build Models4.3 Building the Collectivities Model Step by Step4.4 Verification: Getting Rid of the Bugs4.5 Validation4.6 Techniques for ValidationChapter 5: Using Agent-Based Models5.1 Planning an Agent-Based Modeling Project5.2 Reporting Agent-Based Model Research5.3 Agent-Based Models for Public PolicyResourcesSocieties and AssociationsJournalsMailing List and Web SitesGlossaryReferencesIndex