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Modeling culture in trade: uncertainty avoidance
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Multi-Agent-Based Simulation IX
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ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
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iTrust'06 Proceedings of the 4th international conference on Trust Management
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AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Close Encounters of the Agent Kind: Designing Agents for Effective Training
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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This paper presents an approach to formalize the influence of culture on the decision functions of agents in social simulations. The key components are (a) a definition of the domain of study in the form of a decision model, (b) knowledge acquisition based on a dimensional theory of culture, resulting in expert validated computational models of the influence of single dimensions, and (c) a technique for integrating the knowledge about individual dimensions. The approach is developed in a line of research that studies the influence of culture on trade processes. Trade is an excellent subject for this study of culture's consequences because it is ubiquitous, relevant both socially and economically, and often increasingly cross-cultural in a globalized world.