Agent-Based Models and Simulations in Economics and Social Sciences: from conceptual exploration to distinct ways of experimenting

Journal of Artificial Societies and Social Simulation 13 (1) (2010)
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Abstract

Now that complex Agent-Based Models and computer simulations spread over economics and social sciences - as in most sciences of complex systems -, epistemological puzzles (re)emerge. We introduce new epistemological concepts so as to show to what extent authors are right when they focus on some empirical, instrumental or conceptual significance of their model or simulation. By distinguishing between models and simulations, between types of models, between types of computer simulations and between types of empiricity obtained through a simulation, section 2 gives the possibility to understand more precisely - and then to justify - the diversity of the epistemological positions presented in section 1. Our final claim is that careful attention to the multiplicity of the denotational powers of symbols at stake in complex models and computer simulations is necessary to determine, in each case, their proper epistemic status and credibility.

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Author Profiles

Denis Phan
Centre National de la Recherche Scientifique
Franck Varenne
University Of Rouen

Citations of this work

From Models to Simulations.Franck Varenne - 2018 - London, UK: Routledge.
Can Analytical Sociology Do without Methodological Individualism?Nathalie Bulle & Denis Phan - 2017 - Philosophy of the Social Sciences 47 (6):379-409.
Les simulations computationnelles dans les sciences sociales.Franck Varenne - 2010 - Nouvelles Perspectives En Sciences Sociales 5 (2):17-49.

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