Emergency Evacuation Simulator (EES) - A Tool for Planning Community Evacuations in Australia
Abstract
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 state-of-the-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.
Cite
Text
Singh and Padgham. "Emergency Evacuation Simulator (EES) - A Tool for Planning Community Evacuations in Australia." International Joint Conference on Artificial Intelligence, 2017. doi:10.24963/IJCAI.2017/780Markdown
[Singh and Padgham. "Emergency Evacuation Simulator (EES) - A Tool for Planning Community Evacuations in Australia." International Joint Conference on Artificial Intelligence, 2017.](https://mlanthology.org/ijcai/2017/singh2017ijcai-emergency/) doi:10.24963/IJCAI.2017/780BibTeX
@inproceedings{singh2017ijcai-emergency,
title = {{Emergency Evacuation Simulator (EES) - A Tool for Planning Community Evacuations in Australia}},
author = {Singh, Dhirendra and Padgham, Lin},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2017},
pages = {5249-5251},
doi = {10.24963/IJCAI.2017/780},
url = {https://mlanthology.org/ijcai/2017/singh2017ijcai-emergency/}
}