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Methodological Investigations in Agent-Based Modelling

With Applications for the Social Sciences

  • Book
  • Open Access
  • © 2018

You have full access to this open access Book

Overview

  • This open access book provides an innovative and comprehensive philosophical analysis of simulation methodology in the social sciences
  • In-depth examination of the use of agent-based models across disciplines
  • Includes cutting-edge work on agent-based models applied to population studies?

Part of the book series: Methodos Series (METH, volume 13)

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Table of contents (12 chapters)

  1. Agent-Based Models

  2. Modelling Social Systems

  3. Case Study: Simulation in Demography

Keywords

About this book

This open access book examines the methodological complications of using complexity science concepts within the social science domain.  The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences.  Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography.  This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.​

Authors and Affiliations

  • MRC/CSO Social and Public Health Sciences Unit, University of Glasgow, Glasgow, United Kingdom

    Eric Silverman

Bibliographic Information

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