Human Societies: Understanding Observed Social Phenomena

Bruce Edmonds, Pablo Lucas, Juliette Rouchier and Richard Taylor
Additional contact information
Bruce Edmonds: CPM - Center for Policy Modelling - MMU - Manchester Metropolitan University
Juliette Rouchier: GREQAM - Groupement de Recherche en Économie Quantitative d'Aix-Marseille - EHESS - École des hautes études en sciences sociales - AMU - Aix Marseille Université - ECM - École Centrale de Marseille - CNRS - Centre National de la Recherche Scientifique
Richard Taylor: International Baccalaureate Organization [Cardiff]

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Abstract: The chapter begins by briefly describing two contrasting simulations: the iconic system dynamics model publicised under the "Limits to Growth" book and a detailed model of 1st millennium Native American societies in the south west of the US. These are used to bring out the issues of: abstraction, replicability, model comprehensibility, understanding vs. prediction, and the extent to which simulations go beyond what is observed. These issues and difficulties result in three "dimensions" in which simulation approaches differ. These issues are each rooted in some fundamental difficulties in the project of simulating observed societies that are then briefly discussed. The core of the chapter is a look at 15 different possible simulation goals, both abstract and concrete, giving some examples of each and discussing them. The different inputs and results from such simulations are briefly discussed as to their importance for simulating human societies. The chapter ends with a brief critical assessment of the state of the art in terms of using simulation techniques for helping to understand human societies.

Keywords: Economie; quantitative (search for similar items in EconPapers)
Date: 2013
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Published in Edmonds, Bruce and Meyer, Ruth. Simulating Social Complexity, Springer Berlin Heidelberg, pp.709--748, 2013, Understanding Complex Systems, 978-3-540-93812-5

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01499639

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