Agent-oriented knowledge elicitation for modeling the winning of “hearts and minds”

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 agent-oriented modeling. The models created by means of agent-oriented modeling can be implemented on several simulation platforms, such as NetLogo, Jason, and JADE.