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Proceedings Paper

Automated support for developing retrieve-and-propose systems
Author(s): Evangelos Simoudis; Albert Mendall; Peter Miller
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Paper Abstract

We have studied the retrieve-and-propose problem-solving method, a specialization of the general case-based reasoning method, in terms of its tasks in the context of fault recovery domains. We analyzed the case retrieval and learning tasks that are primarily used in the retrieve-and-propose method, decomposed them into appropriate subtasks, associated decisions for selecting each subtask, and implemented methods for accomplishing each task. We have implemented a system, called REPRO for retrieve and propose, that incorporates the results of this analysis and facilitates the selection of the appropriate algorithms for implementing a case- based expert system. We have used REPRO to develop the CABER case-based fault recovery system.

Paper Details

Date Published: 23 March 1993
PDF: 8 pages
Proc. SPIE 1963, Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry, (23 March 1993); doi: 10.1117/12.141746
Show Author Affiliations
Evangelos Simoudis, Lockheed AI Ctr. (United States)
Albert Mendall, Lockheed AI Ctr. (United States)
Peter Miller, Lockheed AI Ctr. (United States)


Published in SPIE Proceedings Vol. 1963:
Applications of Artificial Intelligence 1993: Knowledge-Based Systems in Aerospace and Industry
Usama M. Fayyad; Ramasamy Uthurusamy, Editor(s)

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