Agent-based Computational SociologyeBook - 2012
Most of the intriguing social phenomena of our time, such asinternational terrorism, social inequality, and urban ethnicsegregation, are consequences of complex forms of agent interactionthat are difficult to observe methodically and experimentally. Thisbook looks at a new research stream that makes use of advancedcomputer simulation modelling techniques to spotlight agentinteraction that allows us to explain the emergence of socialpatterns. It presents a method to pursue analytical sociologyinvestigations that look at relevant social mechanisms in variousempirical situations, such as markets, urban cities, andorganisations.
This book:Provides a comprehensive introduction to epistemological,theoretical and methodological features of agent-based modelling insociology through various discussions and examples. Presents the pros and cons of using agent-based models insociology. Explores agent-based models in combining quantitative andqualitative aspects, and micro- and macro levels of analysis. Looks at how to pose an agent-based research question,identifying the model building blocks, and how to validatesimulation results. Features examples of agent-based models that look at crucialsociology issues. Supported by an accompanying website featuring data sets andcode for the models included in the book.
Agent-Based Computational Sociology is written in acommon sociological language and features examples of models thatlook at all the traditional explanatory challenges of sociology.Researchers and graduate students involved in the field ofagent-based modelling and computer simulation in areas such associal sciences, cognitive sciences and computer sciences willbenefit from this book.