2.50
Hdl Handle:
http://hdl.handle.net/2173/95370
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
Publication 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

Full metadata record

DC FieldValue Language
dc.contributor.authorMoss, Scotten
dc.contributor.authorEdmonds, Bruceen
dc.date.accessioned2010-03-31T12:56:56Z-
dc.date.available2010-03-31T12:56:56Z-
dc.date.issued2005-10-
dc.identifier.citationJournal of artificial societies and social simulation, 2005, vol. 8, no. 4en
dc.identifier.issn1460-7425-
dc.identifier.urihttp://hdl.handle.net/2173/95370-
dc.descriptionFull-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.en
dc.description.abstractThe 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.en
dc.language.isoenen
dc.publisherUniversity of Surrey, Department of Sociologyen
dc.relation.urlhttp://jasss.soc.surrey.ac.uk/JASSS.htmlen
dc.subjectMethodologyen
dc.subjectAgent-based Social Simulationen
dc.subjectQualitative Analysisen
dc.subjectEvidenceen
dc.subjectConditions of Applicationen
dc.subjectHistory of Scienceen
dc.titleTowards good social scienceen
dc.typeArticleen
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