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1 January 1990 Developing PC-based expert systems: promises fulfilled and lessons learned
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gaylen Drape, Lawrence Lafferty, and Suzanne Leonard "Developing PC-based expert systems: promises fulfilled and lessons learned", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); https://doi.org/10.1117/12.21097
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