A Cause Based Method Of Knowledge Representation And Its Application To Lift Scheduling

Alan Howson; Duncan Gillies

doi:10.1117/12.964158

26 March 1986 A Cause Based Method Of Knowledge Representation And Its Application To Lift Scheduling

Alan Howson, Duncan Gillies

Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964158
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States

Abstract

The traditional way of encoding knowledge for an expert system is to use the Horn clause. This allows easy implementation of goal-oriented search procedures, but requires that the data base must be complete and consistent. An alternative scheme is to use cause based systems, where an identified cause can lead to one or more effects. With a knowledge base encoded in this way, it is possible to use a learning procedure to determine which effects are related to which cause. In this way rules can be continually inferred from the input data stream. The method has been sucessfully tried on two systems with dynamic properties. These are a lift scheduler and a system for discovering patterns of digits which are randomly embedded in noise.

Citation Download Citation

Alan Howson and Duncan Gillies "A Cause Based Method Of Knowledge Representation And Its Application To Lift Scheduling", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964158

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