TCD-CS-93-23
Smyth, B. & Cunningham, P.
Complexity of Adaptation in Real-World Case-Based
Reasoning Systems
September 1993
(Also in Artificial
Intelligence & Cognitive Science VI, Belfast: Queens University
Press).
Abstract
The essence of Case-Based Reasoning (CBR) as a problem solving
paradigm is that solutions are generated by adapting the solutions of
similar problems rather then solving the problem from first
principles. In this paper we present a categorisation of problem
solving tasks, arranged according to the complexity of the adaptation
process involved. We describe three CBR systems; a system for
property valuation, a system for software design and a system for
modelling in engineering analysis. We discuss the manner in which
the advantage of a CBR solution to these problems shifts as the task
becomes more complex and the complexity of the adaptation process
changes.
Technical Reports Home Page