Tools and techniques for social science simulation

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Physica-Verlag, 2000 - Business & Economics - 387 pages
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This book provides an overview of social science simulation as a tool for modelling & theory building. It is shown how simulation may be applied to the analysis of social & economic problems using techniques such as multi-agent simulation, cellular automata & multi-level modelling. Particular attention is paid to the sensitivity analysis of model parameters. The book also describes the architecture & user interfaces of several simulation tools. The book is based on an international conference that brought together social scientists & computer scientists engaged in a wide range of simulation approaches. It represents a report on the state of the art in social science simulation.

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Towards a Simulation Toolkit
Simulating the Role of Nonliniarity and Discreteness
Questions in the Methodology of Artificial Societies

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About the author (2000)

Nigel Gilbert is a Professor of Sociology at the University of Surrey. He was one of the pioneers of the use of Agent-Based Models in the social sciences. He co-edited the January 2005 special issue of the American Journal of Sociology", which was devoted to computational modeling. He also edited "Researching Social Life, Second Edition" (SAGE, 2001) and Understanding Social Statistics, Second Edition" (2006, SAGE) with Jane Fielding. He is President of the European Social Simulation Association (ESSA).