31 search results - page 1 / 7 » Using symbolic descriptions to explain similarity on CBR |
CCIA
2005
Springer
13 years 10 months ago
2005
Springer
The explanation of the results is a key point of automatic problem solvers. CBR systems solve a new problem by assessing its similarity with already solved cases and they commonly ...
AIR
2005
13 years 4 months ago
2005
A desired capability of automatic problem solvers is that they can explain the results. Such explanations should justify that the solution proposed by the problem solver arises fr...
CAI
2006
Springer
13 years 4 months ago
2006
Springer
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...
APIN
2004
13 years 4 months ago
2004
Here we first describe the concepts, components and features of CBR. The feasibility and merits of using CBR for problem solving is then explained. This is followed by a descriptio...
IRI
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract— Conversational Case-Based-Reasoning (CCBR) provides a mixed-initiative dialog for guiding users to construct their problem description incrementally through a question-...