TY - GEN
T1 - Integrated human decision making model under belief-desire-intention framework for crowd simulation
AU - Lee, Seungho
AU - Son, Young Jun
PY - 2008
Y1 - 2008
N2 - An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), Decision-Field-Theory (DFT), and probabilistic depth first search (PDFS) technique. To mimic realistic human behaviors, attributes of the BDI framework are reverse-engineered from the human-in-the-loop experiments conducted in the Cave Automatic Virtual Environment (CAVE). The proposed modeling framework is demonstrated for human's evacuation behaviors under a terrorist bomb attack situation. The simulated environment and agents (human model) conforming to the proposed BDI framework are implemented in AnyLogic® agentbased simulation software, where each agent calls external Netica BBN software to perform its perceptual processing function and Soar software to perform its real-time planning and decision-execution functions. The constructed simulation has been used to test impact of several factors (e.g. demographics of people, number of policemen) on evacuation performance (e.g. average evacuation time, percentage of casualties).
AB - An integrated Belief-Desire-Intention (BDI) modeling framework is proposed for human decision making and planning, whose sub-modules are based on Bayesian belief network (BBN), Decision-Field-Theory (DFT), and probabilistic depth first search (PDFS) technique. To mimic realistic human behaviors, attributes of the BDI framework are reverse-engineered from the human-in-the-loop experiments conducted in the Cave Automatic Virtual Environment (CAVE). The proposed modeling framework is demonstrated for human's evacuation behaviors under a terrorist bomb attack situation. The simulated environment and agents (human model) conforming to the proposed BDI framework are implemented in AnyLogic® agentbased simulation software, where each agent calls external Netica BBN software to perform its perceptual processing function and Soar software to perform its real-time planning and decision-execution functions. The constructed simulation has been used to test impact of several factors (e.g. demographics of people, number of policemen) on evacuation performance (e.g. average evacuation time, percentage of casualties).
UR - http://www.scopus.com/inward/record.url?scp=60749105801&partnerID=8YFLogxK
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U2 - 10.1109/WSC.2008.4736153
DO - 10.1109/WSC.2008.4736153
M3 - Conference contribution
AN - SCOPUS:60749105801
SN - 9781424427086
T3 - Proceedings - Winter Simulation Conference
SP - 886
EP - 894
BT - Proceedings of the 2008 Winter Simulation Conference, WSC 2008
T2 - 2008 Winter Simulation Conference, WSC 2008
Y2 - 7 December 2008 through 10 December 2008
ER -