Comparing Agent-Based Computational Simulation Models in Cross-Cultural Research

Cross-Cultural Research 45(2) 208-230, 2011

24 Pages Posted: 10 Jul 2013

See all articles by Claudio Cioffi-Revilla

Claudio Cioffi-Revilla

George Mason University - Center for Social Complexity; American Association for the Advancement of Science; American Mathematical Society; Society for Political Methodology

Date Written: May 1, 2011

Abstract

Mel Ember was co-Principal Investigator in the Mason-HRAF Joint Project on Eastern Africa, a multiyear project aimed at developing and analyzing advanced computational agent-based models of human societies across 10 countries and 12 ecosystems. A major unsolved challenge in this kind of social science research is to devise a systematic way to compare, contrast, and communicate different models of social dynamics along relevant dimensions and characteristics, given the inherent complexity of most computational agent-based models. This article proposes a viable systematic framework for comparing models and illustrates its application using some of the models that Mel helped inspire and develop as senior project participant.

Suggested Citation

Cioffi-Revilla, Claudio, Comparing Agent-Based Computational Simulation Models in Cross-Cultural Research (May 1, 2011). Cross-Cultural Research 45(2) 208-230, 2011, Available at SSRN: https://ssrn.com/abstract=2291538

Claudio Cioffi-Revilla (Contact Author)

George Mason University - Center for Social Complexity ( email )

430 Alhambra Circle
Coral Gables, FL 33134
United States

HOME PAGE: http://socialcomplexity.gmu.edu

American Association for the Advancement of Science ( email )

Washington, DC 20005
United States

American Mathematical Society ( email )

Society for Political Methodology ( email )

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