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

被引:4
|
作者
Cioffi-Revilla, Claudio [1 ]
机构
[1] George Mason Univ, Ctr Social Complex, Krasnow Inst Adv Study, Fairfax, VA 22030 USA
关键词
cross-cultural research; computational social science; Eastern Africa; social simulation; agent-based modeling; comparative analysis; computational methodology; MASON; FRAMEWORK;
D O I
10.1177/1069397110393894
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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.
引用
收藏
页码:208 / 230
页数:23
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