Abstract
Modeling of human behaviors in systems engineering has been regarded as an extremely complex problem due to the ambiguity and difficulty of representing human decision processes. Unlike modeling of traditional physical systems, from which active humans are assumed to be excluded, HECS has some peculiar characteristics which can be summarized as follows: 1) Environments and human itself are nondeterministic and dynamic that there are many different ways in which they dynamically evolve. 2) Human perceives a set of perceptual information taken locally from surrounding environments and other humans in the environment, which will guide human actions toward his or her goal achievement. In order to overcome the challenges due to the above characteristics, we present an human agent model for mimicking perception-based rational human behaviors in complex systems by combining the ecological concepts of affordance- and the Belief-Desire-Intention (BDI) theory. Illustrative models of fire evacuation simulation are developed to show how the proposed framework can be applied. The proposed agent model is expected to realize their potential and enhance the simulation fidelity in analyzing and predicting human behaviors in HECS.
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References
Gibson, J.J.: The Ecological Approach to Visual Perception. Houghton Mifflin, Boston (1979)
Rao, A.S., Georgeff, M.P.: BDI Agents: From Theory to Practice, Tech. Rep. 56, Australian artificial intelligence institute, Melbourne, Austrailia (1995)
Bratman, M. E.: Intentions, plans and practical reason. Cambridge University Press (1987)
Joo, J., Kim, N., Wysk, R.A., Rothrock, L., Son, Y., Oh, Y., Lee, S.: Agent-based simulation of affordance-based human behaviors in emergency evacuation. Simulation Modeling Practice and Theory 32 (2013)
Turvey, M.T.: Affordances and Prospective Control: An Outline of the Ontology. Ecological Psychology 4(3), 173–187 (1992)
Kim, N., Joo, J., Rothrock, L., Wysk, R.: An Affordance-Based Formalism for Modeling Human-involvement in Complex Systems for Prospective Control. In: Proceedings of the 2010 Winter Simulation Conference, Baltimore, MD, pp. 811–823 (2010)
Raubal, M.: Human wayfinding in unfamiliar buildings: a simulation with a cognizing agent. Cognitive Processing (2-3) 363-388 (2001)
Shendarkar, A., Vasudevan, K., Lee, S., Son, Y.: Crowd simulation for emergency response using BDI agents based on immersive virtual reality. Simulation Modelling Practice and Theory 16, 1415–1429 (2008)
Shi, J., Ren, A., Chen, C.: Agent-based evacuation model of large public buildings under fire conditions. Automation in Construction 18, 338–347 (2009)
Virtual Environment V 5.9. Simulex User Guide, Integrated Environmental Solutions Ltd.
Galea, E.R., Lawrence, P. J., Gwynne, S., Filippidis, L., Blackshields, D., and Cooney, D: Building EXODUS V 4.06, User Guide and Technical Manual (2006)
Zhang, Z., Zhang, C.: Agent-Based Hybrid Intelligent Systems: An Agent-Based Framework for Complex Problem Solving. Springer, New York (2004)
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Joo, J. (2013). Perception and BDI Reasoning Based Agent Model for Human Behavior Simulation in Complex System. In: Kurosu, M. (eds) Human-Computer Interaction. Towards Intelligent and Implicit Interaction. HCI 2013. Lecture Notes in Computer Science, vol 8008. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39342-6_8
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DOI: https://doi.org/10.1007/978-3-642-39342-6_8
Publisher Name: Springer, Berlin, Heidelberg
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