This work addresses the problem of encoding cognitive agents that are capable of complex reasoning beyond simple rules, within agent-based models (ABM). This is particularly important for social simulation where agents represent people. We provide a general solution to this problem through infrastructure that allows the integration of stateofthe-art Belief-Desire-Intention (BDI) and ABM systems. In this paper, we demonstrate how this infrastructure is being used to help emergency services in Australia plan for community evacuations.
CITATION STYLE
Singh, D., & Padgham, L. (2017). Emergency evacuation simulator (EES) - A tool for planning community evacuations in Australia (demonstration). In IJCAI International Joint Conference on Artificial Intelligence (pp. 5249–5251). International Joint Conferences on Artificial Intelligence.
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