While knowledge-based systems (KBSs) differ from conventional computer systems, lessons in their construction can be drawn from years of conventional artificial intelligence, software engineering, and soft'' operations research/systems analysis techniques. Proposes an engineering methodology that is an extension of these techniques. Examines these three disciplines and their relationship to KBSs. Sets out the POLITE methodology for building KBSs, including some of the work on KBSs in conventional systems design. Draws on the experience gained from developing several systems of varying sizes, but particularly from the "Intellipse" project which encouraged links between building KBSs and structured methods for conventional software engineering.
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In order for knowledge-based systems to be of practical value to commercial organizations, reliable methods need to be available for deciding when they may be of use, specifying them and constructing them. Edwards examines a methodology for building the systems from a problem-driven rather than a solution-driven perspective. The material is of valu
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