Citation

Knight B, Taylor S, Petridis M, Ewer J, Galea ER. Eng. Appl. Artif. Intell. 1999; 12(2): 213-219.

Affiliation

University of Greenwich, London, UK

Copyright

(Copyright © 1999, Elsevier Publishing)

DOI

10.1016/S0952-1976(98)00057-8

PMID

unavailable

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.