Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design
Issue No. 05 - September/October (2001 vol. 13)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/69.956101
<p><b>Abstract</b>—Case-based reasoning (CBR) is an artificial intelligence technique that emphasises the role of past experience during future problem solving. New problems are solved by retrieving and adapting the solutions to similar problems, 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 systems dealing with complex problem solving tasks have to use multiple cases. This paper describes and evaluates the technique of hierarchical case-based reasoning, which allows complex problems to be solved by reusing multiple cases at various levels of abstraction. The technique is described in the context of Déjà Vu, a CBR system aimed at automating plant-control software design.</p>
Case-based reasoning, case-based organization, hierarchical problem solving, automated software design.
P. Cunningham, M. T. Keane and B. Smyth, "Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design," in IEEE Transactions on Knowledge & Data Engineering, vol. 13, no. , pp. 793-812, 2001.