Agent-Oriented Knowledge Elicitation for Modeling the Winning of "Hearts and Minds"
نویسندگان
چکیده
Agent-oriented modeling is a top-down approach for modeling and simulating the behaviors of complex systems. This research addresses the application of agent-oriented modeling to eliciting and representing knowledge for social simulations. We provide an overview of agent-oriented modeling and describe a case study on conflict resolution that has an impact on winning “hearts and minds” of the occupied territory’s population. After that we propose a method for eliciting and representing knowledge for social simulations by means of agentoriented modeling. The models created by means of agentoriented modeling can be implemented on several simulation platforms, such as NetLogo, Jason, and JADE.
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