B. Smyth et al., Hierarchical case-based reasoning integrating case-based and decompositional problem-solving techniques for plant-control software design, IEEE KNOWL, 13(5), 2001, pp. 793-812
Citations number
43
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Case-based reasoning (CBR) is an artificial intelligence technique that emp
hasises the role of past experience during future problem solving. New prob
lems are solved by retrieving and adapting the solutions to similar problem
s, solutions that have been stored and indexed for future reuse as cases in
a case-base. The power of CBR is severely curtailed if problem solving is
limited to the retrieval and adaptation of a single case so most CBR system
s dealing with complex problem solving tasks have to use multiple cases. Th
is paper describes and evaluates the technique of hierarchical case-based r
easoning, which allows complex problems to be solved by reusing multiple ca
ses at various levels of abstraction. The technique is described in the con
text of Deja Vu, a CBR system aimed at automating plant-control software de
sign.