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Simulation in Social Sciences

Simulation in Social Sciences
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Author(s): R. Axelrod (University of Michigan, USA)
Copyright: 2007
Pages: 11
Source title: Handbook of Research on Nature-Inspired Computing for Economics and Management
Source Author(s)/Editor(s): Jean-Philippe Rennard (Grenoble Graduate School of Business, France)
DOI: 10.4018/978-1-59140-984-7.ch007

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Abstract

Advancing the state of the art of simulation in the social sciences requires appreciating the unique value of simulation as a third way of doing science, in contrast to both induction and deduction. Simulation can be an effective tool for discovering surprising consequences of simple assumptions. This chapter offers advice for doing simulation research, focusing on the programming of a simulation model, analyzing the results, sharing the results, and replicating other people’s simulations. Finally, suggestions are offered for building a community of social scientists who do simulation.

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