SOAR: an architecture for general intelligence
Artificial Intelligence
Unified theories of cognition
Virtual reality applications
Folk Psychology for Human Modelling: Extending the BDI Paradigm
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Reasoning and unsupervised learning in a fuzzy cognitive map
Information Sciences—Informatics and Computer Science: An International Journal
Information Sciences: an International Journal
Using 2D and 3D modeling and simulation for emergency situations management
CEA'10 Proceedings of the 4th WSEAS international conference on Computer engineering and applications
Study of an emergency situation using 2D and 3D simulation models
WSEAS TRANSACTIONS on SYSTEMS
Behaviour models for the evacuation of a motorway tunnel
ICOSSSE '09 Proceedings of the 8th WSEAS international conference on System science and simulation in engineering
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part II
Proceedings of the Winter Simulation Conference
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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® agent-based 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).