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CAI
2006
Springer
13 years 11 months ago
Symbolic Explanation of Similarities in Case-based Reasoning
CBR systems solve problems by assessing their similarity with already solved problems (cases). Explanation of a CBR system prediction usually consists of showing the user the set o...
Eva Armengol, Enric Plaza
AEI
2007
102views more  AEI 2007»
13 years 11 months ago
Incremental development of CBR strategies for computing project cost probabilities
This paper presents three CBR systems that have been developed over seven years in collaboration with two industrial partners. In this research, case based reasoning (CBR) is used...
Benny Raphael, Bernd Domer, Sandro Saitta, Ian F. ...
AAAI
1994
14 years 16 days ago
Towards More Creative Case-Based Design Systems
Case-based reasoning (CBR) has a great deal to o er in supporting creative design, particularly processes that rely heavily on previous design experience, such as framing the prob...
Linda M. Wills, Janet L. Kolodner
IJCAI
2001
14 years 17 days ago
Using Case-Base Data to Learn Adaptation Knowledge for Design
One advantage of Case-Based Reasoning (CBR) is the relative ease of constructing and maintaining CBR systems, especially as a number of commercial CBR tools are available. However...
Jacek Jarmulak, Susan Craw, Ray Rowe
EWCBR
2008
Springer
14 years 29 days ago
Noticeably New: Case Reuse in Originality-Driven Tasks
"Similar problems have similar solutions" is a basic tenet of case-based inference. However this is not satisfied for CBR systems where the task is to achieve original so...
Belén Díaz-Agudo, Enric Plaza, Juan ...
EWCBR
2004
Springer
14 years 4 months ago
Explanations and Case-Based Reasoning: Foundational Issues
By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial...
Thomas Roth-Berghofer