Abstract
When a building is designed it possesses a spatial layout of routes and passageways all of which contribute to the building’s egress capability—a key consideration in the context of health and safety for occupants. In this paper we examine how such a spatial layout can be interpreted as a vital system of egress, which if processed exhaustively by a naïve agent will identify with a measure of egress complexity. We further examine how the established rule-based mechanism for the determination of egress complexity satisfies the generically accepted axioms of complexity and we illustrate some of the algorithms of egress complexity with examples.
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References
Ashby WR (1973). Some peculiarities of complex systems. Cybernet Med 9(2): 1–7
Collinson D (1987). Fifty major philosophers. Routledge, London and NY
(1991). Fire Safety Science–Proceedings of the Third International Symposium. Elsevier Appl. Sci., London
Donegan HA and McMaster TBM (2001). Formal aspects of egress complexity. Math Comp Model 35: 119–128
Donegan HA, Taylor IR, Christie G and Livesey G (1999). Illustrating some rule based algorithms of egress complexity using simple case studies. J Appl Fire Sci 8(3): 243–258
Donegan HA and Pollock AJ (1996). A mathematical basis for egress complexity. J Appl Math Lett 9(2): 75–80
Donegan HA, Pollock AJ, Taylor IR (1994) Egress complexity of a building. In: Kashiwagi T (ed) Fire Safety Science–Proceedings of the Fourth International Symposium, Int. Assn. Fire Safety Sci., USA: 601–612
Düntsch I and Gediga G (2000). Rough set data analysis. Methodos Publishers (UK), Bangor
Grove AJ, Halpern JY and Koller D (1994). Random world and maximum entropy. J AI Res 2: 22–33
Harary F (1969) Graph theory. Addison-Wesley
Jackson AH (1988). Machine learning. Expert Syst 5(2): 132–150
(1994). Fire Safety Science-Proceedings of the Fourth International Symposium. Int. Assn. Fire Safety Sci., USA
Kisko TM and Francis RL (1985). EVACNET : a computer program to determine optimal building evacuation plans. Fire Safety J 9: 211–220
Klir GJ, Folger TA (1988) Fuzzy sets, uncertainty, and information. Prentice-Hall
Livesey GE (2003) Advancing egress complexity in support of rule-based evacuation modelling, PhD Thesis, University of Ulster
Livesey GE, Taylor IR, Donegan HA (2001) A consideration of evacuation attributes and their functional sensitivities. Proceedings of the 2nd International Symposium on Human Behaviour in Fire, Boston, Interscience Communications: 111–122
Oliver P (2001). Diagrammatic reasoning: an artificial intelligence perspective. Artif Intell Rev 15: 63–78
Pollock AJ, Donegan HA and Taylor IR (1994). Interfacing architectural CAD data with KBS technology. Math Comp Modell 19(9): 17–21
Pollock AJ (1995) Intelligent Interpretation of CAD Drawings for Building Evaluation, D.Phil Thesis, University of Ulster
Quinlan JR (1982) Semi-autonomous Acquisition of patterned based knowledge. In: Michie D (ed) Inductory Readings in Expert Systems. Gordon & Breech, 192–207
Shannon CE (1948) The mathematical theory of communication. Bell Syst Tech J 27:379–423 and 623–656
Shields TJ (ed) (1998) Human behaviour in Fire, Proceedings of the First International Symposium, University of Ulster
Stenning K and Lemon O (2001). Aligning logical and psychological perspectives on diagrammatic reasoning. Artif Intell Rev 15: 29–62
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Donegan, H.A., Livesey, G., McMaster, T.B.M. et al. Axiomatic considerations of a rule based mechanism for the determination of a building’s egress capability. Artif Intell Rev 27, 5–19 (2007). https://doi.org/10.1007/s10462-007-9053-2
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DOI: https://doi.org/10.1007/s10462-007-9053-2