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

Show simple item record Cioffi-Revilla, Claudio 2015-03-27T19:21:06Z 2015-03-27T19:21:06Z 2011-05
dc.identifier.citation Cioffi-Revilla, Claudio, Comparing Agent-Based Computational Simulation Models in Cross-Cultural Research. Cross-Cultural Research 45(2) 208-230, 2011. en_US
dc.identifier.other DOI: 10.1177/1069397110393894
dc.description.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.
dc.description.sponsorship Funding for this study was provided by the Center for Social Complexity of George Mason University and by ONR MURI grant no. N00014-08-1-0921. en_US
dc.language.iso en_US en_US
dc.publisher SAGE en_US
dc.rights © 2010 SAGE Publications en_US
dc.subject Agent-based model en_US
dc.subject Social sciences--Simulation methods en_US
dc.subject Africa, East en_US
dc.subject Cross-cultural studies en_US
dc.title Comparing Agent-Based Computational Simulation Models in Cross-Cultural Research en_US
dc.type Article en_US

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