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S-SALT: A problem-solver, knowledge acquisition tool and associated knowledge base refinement mechanisms

Published online by Cambridge University Press:  27 February 2009

Pietro Leo ,
Derek Sleeman  and
Augoustos Tsinakos
Pietro Leo
Affiliation:
Department of Computing Science, University of Aberdeen, Scotland, U.K., AB9 2UB
Derek Sleeman
Affiliation:
Department of Computing Science, University of Aberdeen, Scotland, U.K., AB9 2UB
Augoustos Tsinakos
Affiliation:
Department of Computing Science, University of Aberdeen, Scotland, U.K., AB9 2UB
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Abstract

SALT is the highly influential system implemented by Marcus (1988), which is able to acquire knowledge and solve problems using the propose-and-revise strategy. The primary task to which this has been applied is the design of elevators, or lifts (Marcus et al., 1988). Recently we have re-implemented and extended the system at Aberdeen, S-SALT, the new system, has the following enhancements:

Information

Type
Research Abstracts
Information
AI EDAM , Volume 10 , Issue 2: Special Issue: Machine learning in design , April 1996 , pp. 157 - 159
Copyright
Copyright © Cambridge University Press 1996

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References

REFERENCES

Craw, S. & Sleeman, D. (1990). Automating the refinement of knowledge-based systems. Proc. ECAI 90, 167–172.Google Scholar
Leo, P., Sleeman, D., & Tsinakos, A. (1994). S-SALT: A problem solver plus knowledge acquisition tool which can additionally refine its knowledge base. EKAW-94 Conf. Proc.Google Scholar
Leo, P. (199x). S-SALT: A problem solver plus knowledge acquisition tool which additionally can refine its knowledge base. M.Sc. Thesis, University of Aberdeen, UK.Google Scholar
Marcus, S. (1988). A knowledge acquisition tool for propose-and-revise systems. In Automating Knowledge Acquisition for Expert Systems, (Marcus, S., Eds.), pp. 81–123. Kluwer Academic, Boston.Google Scholar
Marcus, S., Stout, J., & McDermott, J. (1988). VT: An expert elevator configurer that uses knowledge-based backtracking. Al Magazine 9(1), 95–112.Google Scholar