Abstract

In recent years there has been significant progress in developing computer programs that can perform technical tasks normally thought to require the knowledge, experience and judgment of human specialists. Known as expert systems or knowledge-based systems, these programs have achieved high levels of performance at such diverse but specialized tasks as medical diagnosis, mass-spectrum analysis, chemical synthesis, mineral exploration, and computer system configuration. This seminar will give an overview of the fundamental principles of knowledge representation and plausible inference used in these systems. Particular emphasis will be placed on rule-based systems, which provide a particularly attractive, uniform approach to representing and using judgmental knowledge. The following outline summarizes the topics to be covered.

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