Complexity of Adaptation in Real-World Case-Based Reasoning Systems
Citation:
Smyth, Barry; Cunningham, Padraig. 'Complexity of Adaptation in Real-World Case-Based Reasoning Systems'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-93-23, 1993, pp13Download Item:
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 than solving the problem from first
principles. In this paper we present a categorisation of problem
solving tasks, arranged according to complexity. In addition we
categorise CBR systems 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.
Description:
Also in Artificial Intelligence & Congnitive Science VI, Belfast: Queens University Press.
Author: Smyth, Barry; Cunningham, Padraig
Publisher:
Trinity College Dublin, Department of Computer ScienceType of material:
Technical ReportCollections
Series/Report no:
Computer Science Technical ReportTCD-CS-93-23
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Computer ScienceMetadata
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