Artificiality in Social Sciences

Jean-Philippe Rennard

MPRA Paper from University Library of Munich, Germany

Abstract: This text provides with an introduction to the modern approach of artificiality and simulation in social sciences. It presents the relationship between complexity and artificiality, before introducing the field of artificial societies which greatly benefited from the computer power fast increase, gifting social sciences with formalization and experimentation tools previously owned by "hard" sciences alone. It shows that as "a new way of doing social sciences", artificial societies should undoubtedly contribute to a renewed approach in the study of sociality and should play a significant part in the elaboration of original theories of social phenomena.

Keywords: artificial societies; multi-agent systems; distributed artificial intelligence; complexity (search for similar items in EconPapers)
JEL-codes: C63 (search for similar items in EconPapers)
Date: 2006
New Economics Papers: this item is included in nep-cbe, nep-cmp and nep-ict
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Published in Rennard, J.-P. (Ed.), Handbook of Research on Nature Inspired Computing for Economics and Management, IGR (2006): pp. 1-15

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:1458

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