Using case based reasoning for basis development in intelligent decision systems

The artificial intelligence technique of case based reasoning is proposed to support the initial structuring of decision theoretic models. Case based reasoning obtains an initial problem structure by accessing and manipulating influence diagrams stored in a large knowledge base of cases. A matching...

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Veröffentlicht in:European journal of operational research 1994-08, Vol.77 (1), p.40-59
Hauptverfasser: McGovern, Jim, Samson, Danny, Wirth, Andrew
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container_title European journal of operational research
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creator McGovern, Jim
Samson, Danny
Wirth, Andrew
description The artificial intelligence technique of case based reasoning is proposed to support the initial structuring of decision theoretic models. Case based reasoning obtains an initial problem structure by accessing and manipulating influence diagrams stored in a large knowledge base of cases. A matching process locates all cases which match a specification on influences which are direct, indirect and analogous. The set of matching cases is reduced to the smallest sub-set which contains all influences. This set is then ranked. If this phase does not produce a suitable basis the matched cases and any unmatched influences are merged to produce a new case. An architecture which incorporates case based reasoning with traditional intelligent decision system architectures is described.
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language eng
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subjects Applied sciences
Artificial intelligence
Case based reasoning
Decision support systems
Decision theory
Decision theory. Utility theory
Exact sciences and technology
Influence diagrams
Operational research and scientific management
Operational research. Management science
Operations research
Studies
title Using case based reasoning for basis development in intelligent decision systems
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