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espace at MMU > Research Institutes > Research Institute for Business and Management (RIBM) > Centre for Policy Modelling > Towards good social science

Please use this identifier to cite or link to this item: http://hdl.handle.net/2173/95370
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Title: Towards good social science
Authors: Moss, Scott
Edmonds, Bruce
Citation: Journal of artificial societies and social simulation, 2005, vol. 8, no. 4
Publisher: University of Surrey, Department of Sociology
Issue Date: Oct-2005
URI: http://hdl.handle.net/2173/95370
Additional Links: http://jasss.soc.surrey.ac.uk/JASSS.html
Abstract: The paper investigates what is meant by "good science" and "bad science" and how these differ as between the natural (physical and biological) sciences on the one hand and social sciences on the other. We conclude on the basis of historical evidence that the natural science are much more heavily constrained by evidence and observation than by theory while the social sciences are constrained by prior theory and hardly at all by direct evidence. Current examples of the latter proposition are taken from recent issues of leading social science journals. We argue that agent based social simulations can be used as a tool to constrain the development of a new social science by direct (what economists dismiss as anecdotal) evidence and that to do so would make social science relevant to the understanding and influencing of social processes. We argue that such a development is both possible and desirable. We do not argue that it is likely.
Type: Article
Language: en
Description: Full-text of this article is not available in this e-prints service. This article was originally published in Journal of Artificial Societies and Social Simulation, published by and copyright University of Surrey, Department of Sociology.
Keywords: Methodology
Agent-based Social Simulation
Qualitative Analysis
Evidence
Conditions of Application
History of Science
ISSN: 1460-7425
Appears in Collections: Centre for Policy Modelling

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