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A Comparative Study of Control Strategies for Expert Systems: Age Implementation of Three Variations of PUFF

Conference Paper Expert Systems Artificial Intelligence

Abstract

This paper presents the results of comparing three control strategies for expert systems: event driven, expectation driven, and goal driven. Three different versions of a pulmonary function analysis system (PUFF) were implemented, each with a different control strategy. The systems are described and compared for efficiency and naturalness. The advantages and disadvantages of each strategy are discussed. The reasons why one approach, the expectation-drive strategy, is best suited for the PUFF application are summarized.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
64442462580563323