| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 723105 | IFAC Proceedings Volumes | 2006 | 6 Pages |
Abstract
CBR is an original paradigm to adapt solutions of past problems in order to solve new similar problems. A case is a problem with its solution and cases are stored in a case library. The reasoning process obeys to a cycle allowing to “learn” from new solved cases. This approach is also viewed as a lazy learning method when applied for classification. This AI technology is applied for various tasks as designing, planning, diagnosing, information retrieving, etc. The talk will be the occasion to go a step further in reusing past experience, by considering traces of computer use as experience knowledge containers for contextual and situation based problem solving.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Alain Mille,