ISE Seminar “An Extended Belief-Desire-Intention (BDI) Model for Human Behaviors”

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An Extended Belief-Desire-Intention (BDI) Model for Human Behaviors: Emergency Evacuation and Driving Applications

Speaker: Dr. Young-Jun Son
James J. Solberg Head and Ransburg Professor
School of Industrial Engineering
Purdue University

In this talk, we will discuss an integrated Belief-Desire-Intention (BDI) modeling framework for human decision making, whose sub-modules are based on Bayesian belief network, Decision-Field-Theory, and probabilistic depth first search technique. A key novelty of the proposed model is its ability to represent both the human decision-making and decision-planning functions in a unified framework. In this talk, the proposed modeling framework is demonstrated for human’s evacuation behaviors under a terrorist bomb attack situation and driver’s behaviors. To mimic realistic human behaviors, attributes of the BDI framework are reverse-engineered from the human-in-the-loop experiments conducted in the virtual reality (VR) environment (e.g. Cave Automatic Virtual Environment (CAVE) or VR headset). A crowd simulation is then constructed, where individual human behaviors are based on what was learned from the VR experiments. In this work, the simulated environment and humans conforming to the proposed BDI framework are implemented in AnyLogic® agent-based simulation software. The constructed crowd simulation is then used to test impact of several factors (e.g. demographics of people, number of policemen, information sharing via speakers) on evacuation performance (e.g. average evacuation time, percentage of casualties). Finally, we briefly discuss other applications (e.g. driver’s behaviors) and research extensions for the proposed BDI framework.