Integrated human decision making model under Belief-Desire-Intention framework for crowd simulation

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

• Type: Conference
• Year: 2008
• Where: WSC
• Authors: Seungho Lee, Young-Jun Son
• Keywords: BDI Framework, Human's Evacuation Behaviors, Modeling And Simulation, Modeling Framework, WSC 2008