Artificiality in Social Sciences

Rennard, Jean-Philippe (2006): Artificiality in Social Sciences. Published in: Rennard, J.-P. (Ed.), Handbook of Research on Nature Inspired Computing for Economics and Management, IGR (2006): pp. 1-15.

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.

• Item Type: MPRA Paper
• Institution: Grenoble Ecole de Management
• Language: English
• Keywords: artificial societies; multi-agent systems; distributed artificial intelligence; complexity
• Subjects: C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C63 - Computational Techniques ; Simulation Modeling

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