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James Slagle

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2 papers

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AAAI Conference 1986 Conference Paper

AGNESS: A Generalized Network-based Expert System Shell

James Slagle

AGNESS is an expert system shell developed at the University of Minnesota. AGNESS is more general than other shells. It uses a computation network to represent expert defined rules, and can handle any well-defined inference method. The system works with non-numeric as well as numeric data, and shares constructs whenever possible to achieve increased storage efficiency. AGNESS uses a menu-driven user interface, and has several features that make the system friendly and convenient to use. The system includes eight explanation queries designed to increase the amount of information available to the user, the expert, and the knowledge engineer while remaining simple enough to be included in most of today’s expert system shells. AGNESS has been tested on several domains ranging from simplified problems to real world medical analysis.

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AAAI Conference 1983 Conference Paper

Expert System Consultation Control Strategy

James Slagle

User interfaces to expert systems represent a bottleneck since consultation time is proportional to the amount of information the system asks the user to supply. An efficient, rather than exhaustive, strategy to direct user questioning will reduce consultation time and effort. An intelligent strategy to minimize questioning, the merit system, has been successfully implemented in Battle, an expert consultant system developed for the Marine Corps. The merit strategy enables Battle to focus the consultation process on the most meritorious questions allowing the military commander to respond quickly awith the most pertinent information The merit system, originally defined for logical functions in the iVultiple program, has been extended to the Mycin style of propagation and to the method of subjective Bayesian assignments used by Prospector. A procedure for merit calculations with any differentiable, real-valued ass; gnment function is presented. Our experience has shown that merit values provide an efficient flow of control for expert consultation,

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