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A knowledge-based system to represent spatial reasoning for fire modelling

A knowledge-based system to represent spatial reasoning for fire modelling

Knight, Brian, Taylor, Steve, Petridis, Miltos, Ewer, John and Galea, Edwin ORCID: 0000-0002-0001-6665 (1999) A knowledge-based system to represent spatial reasoning for fire modelling. Engineering Applications of Artificial Intelligence, 12 (2). pp. 213-219. ISSN 0952-1976 (doi:10.1016/S0952-1976(98)00057-8)

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Abstract

This paper describes the architecture of the knowledge based system (KBS) component of Smartfire, a fire field modelling tool for use by members of the fire safety engineering community who are not expert in modelling techniques. The KBS captures the qualitative reasoning of an experienced modeller in the assessment of room geometries, so as to set up the important initial parameters of the problem. Fire modelling expertise is an example of geometric and spatial reasoning, which raises representational problems. The approach taken in this project is a qualitative representation of geometric room information based on Forbus’ concept of a metric diagram. This takes the form of a coarse grid, partitioning the domain in each of the three spatial dimensions. Inference over the representation is performed using a case-based reasoning (CBR) component. The CBR component stores example partitions with key set-up parameters; this paper concentrates on the key parameter of grid cell distribution.

Item Type: Article
Additional Information: [1] First published online: 15 March 1999. [2] Published in print: April 1999. [3] CMS Ref. No: 99/108.
Uncontrolled Keywords: spatial reasoning, metric diagrams, case-based reasoning, fire modelling
Subjects: Q Science > QA Mathematics
T Technology > T Technology (General)
Pre-2014 Departments: School of Computing & Mathematical Sciences
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis
School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group
School of Computing & Mathematical Sciences > Computer & Computational Science Research Group
School of Computing & Mathematical Sciences > Department of Computer Science
School of Computing & Mathematical Sciences > Department of Mathematical Sciences
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Last Modified: 14 Oct 2016 09:00
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/489

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