Bayesian affordance-based agent model for wayfinding behaviors in evacuation problems
- Title
- Bayesian affordance-based agent model for wayfinding behaviors in evacuation problems
- Author
- 신동민
- Keywords
- Affordance; dynamic programming; Markov Decision Process; way-finding
- Issue Date
- 2013-07
- Publisher
- Springer
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 8025 LNCS, NO. PART 1, Page. 297-306
- Abstract
- In this paper, we propose a modeling framework of rational human actions in human-environment systems by evaluating probable human actions in physical and psychological dimensions. In the affordance theoretic perspective, an environment offers certain physical and psychological limitations to filter a finite number of feasible human actions that lead to desired system states in a spatio-temporal dimension. By integrating physical and psychological constraints in human decision making processes, a value-based Bayesian-affordance model is proposed using Markov Decision Model. To this ends, two different types of filters, 'F1' and 'F2' are proposed, where 'F1' is a preference-based numerical filter conceived at the planning level for psychological constraints and 'F2' an affordance-based numerical filter at the execution level in which agent's perception of physical action availability plays a big role. Finally, a simple example based on the proposed model is illustrated to verify the proposed framework and the analysis results are discussed. © 2013 Springer-Verlag.
- URI
- https://link.springer.com/chapter/10.1007/978-3-642-39173-6_35https://repository.hanyang.ac.kr/handle/20.500.11754/183707
- ISSN
- 0302-9743
- DOI
- 10.1007/978-3-642-39173-6_35
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > INDUSTRIAL AND MANAGEMENT ENGINEERING(산업경영공학과) > Articles
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