Toward automating recognition of differing problem-solving demands*

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SALT provides a knowledge acquisition framework for the development of expert systems that use propose-and-revise as their problem-solving method. These systems incrementally construct a tentative design, identify constraints on the design and revise design decisions in response to constraint violations. By having an under-standing of the specific problem-solving method used to integrate the knowledge it acquires, it has been previously shown that SALT possesses a number of advantages over less restrictive programming languages. We have applied SALT to a new type of propose-and-revise task, and have identified areas where SALT was too restrictive to adequately permit acquisition of domain knowledge or efficient utilization of that knowledge. Addressing these problems has led to a more “general” SALT and to a better understanding of when it is an appropriate tool.

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*

Based on a paper presented at the Second AAAI Workshop on Knowledge Acquisition for Knowledge-Based Systems, Banff, October 1987

Now at CERMA-ENPC, La Courtine B.P. 105, 93194 Noisy le Grand, France.

Now at the Advanced Technology Center, Boeing Computer Services, P.O. Box 24346, M/S 7L-64, Seattle, WA 98124, USA.

§

Currently on leave at Digital Equipment Corporation, HL02-3/CO7, 77 Reed Rd, Hudson, MA 01749, USA.

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