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Proceedings Paper

Developing PC-based expert systems: promises fulfilled and lessons learned
Author(s): Gaylen Drape; Lawrence Lafferty; Suzanne Leonard
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Paper Abstract

In the development of PC-based expert systems for "niche" applications, a conflict exists between maximizing the value delivered to the customer and minimizing the development cost. Good expert systems must have an effective human-machine interface, be highly integrated within their operating environment, and have user credibility. Considerable engineering effort is required to provide this functionality on a PC within cost and schedule constraints. We illustrate our approach to resolving the value vs. cost dilemma by describing our development of a system called LESTER. Results achieved via the implementation of LESTER are discussed, as well as the areas in which we encountered development difficulties. From our experiences, we argue that the need exists for an implementation environment that simplifies the building of expert systems and thus lowers their cost. Tools for efficient prototyping, knowledge acquisition and code development are conceptualized. These tools address some of the more troublesome aspects of expert system development. Creating the right tools for an environment is an evolutionary process, one that will allow developers (and their customers) to ultimately achieve a high return from their investment.

Paper Details

Date Published: 1 January 1990
PDF: 10 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21097
Show Author Affiliations
Gaylen Drape, ENSCO, Inc. (United States)
Lawrence Lafferty, ENSCO, Inc. (United States)
Suzanne Leonard, ENSCO, Inc. (United States)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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