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Kim, Namhun
UNIST Computer-Integrated Manufacturing Lab (UCIM)
Research Interests
  • Additive Manufacturing (3D Printing), Manufacturing Systems, Agent-based Simulation


Agent-based simulation of affordance-based human behaviors in emergency evacuation

DC Field Value Language Joo, Jaekoo ko Kim, Namhun ko Wysk, Richard A. ko Rothrock, Ling ko Son, Young-Jun ko Oh, Yeong-gwang ko Lee, Seungho ko 2014-04-10T02:21:57Z - 2013-07-01 ko 2013-03 ko
dc.identifier.citation SIMULATION MODELLING PRACTICE AND THEORY, v.32, pp.99 - 115 ko
dc.identifier.issn 1569-190X ko
dc.identifier.uri -
dc.description.abstract Complex cognitive processes corresponding to human control behaviors cannot be easily inferred using (1) a logical rule-based model, (2) a statistical model, or (3) an analytical predictive model. Predicting human behaviors in complex and uncertain environments like emergency evacuation is considered almost impossible (at least NP hard) in systems theory. In this paper, we explore simulating human behaviors using affordance-based finite state automata (FSA) modeling, based on the ecological concept of affordance theory. To this end, we introduce the conceptual and generic framework of affordance-based human behavior simulation developed through our previous work. Following the generic framework, formal simulation models of affordance-based human behaviors are developed, especially for emergency evacuation, to mimic perception-based dynamic human actions interacting with emergent environmental changes, such as fire. A "warehouse fire evacuation" case is used to demonstrate the applicability of the proposed framework. The human action planning algorithms in the simulation model are developed and implemented using the Adjusted Floor Field Indicators, which represent not only the evacuee's prior knowledge of the floor layout but the perceivable information about dynamic environmental changes. The results of our simulation study verify that the proposed framework accurately simulates human fire evacuation behavior. The proposed framework is expected to capture the natural manner in which humans behave in emergency evacuation and enhance the simulation fidelity of analyses and predictions of perceptual human behaviors/responses in the systems by incorporating cognitive intent into human behavior simulations. ko
dc.description.statementofresponsibility close -
dc.language 영어 ko
dc.publisher ELSEVIER SCIENCE BV ko
dc.title Agent-based simulation of affordance-based human behaviors in emergency evacuation ko
dc.type ARTICLE ko
dc.identifier.scopusid 2-s2.0-84872443573 ko
dc.identifier.wosid 000316426800007 ko
dc.type.rims ART ko
dc.description.wostc 4 *
dc.description.scopustc 5 * 2015-02-28 * 2014-07-12 *
dc.identifier.doi 10.1016/j.simpat.2012.12.007 ko
dc.identifier.url ko
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