A knowledge based approach to FMS scheduling

Describes work done within the Software Technology Department of British Aerospace (Military Aircraft) Ltd. to investigate the application of IKBS to scheduling and planning problems. The basis of the work performed at UMIST was the automated acquisition of knowledge. The creation of a prototype FMS scheduler was selected as a basis for the study. The paper comments on the suitability of the problem for AI treatment and discusses the tools and techniques adopted. It reviews the performance of the current scheduler and suggests further improvements which are being investigated.<
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