TY  - INPR
A1  - Bergmann, Ralph
A1  - Wilke, Wolfgang
A1  - Pews, Gerd
T1  - Explanation-based Similarity: A Unifying Approach for Integrating Domain
N2  - Case-based problem solving can be significantly improved by applying domain knowledge (in opposition to problem solving knowledge), which can be acquired with reasonable effort, to derive explanations of the correctness of a case. Such explanations, constructed on several levels of abstraction, can be employed as the basis for similarity assessment as well as for adaptation by solution refinement. The general approach for explanation-based similarity can be applied to different real world problem solving tasks such as diagnosis and planning in technical areas. This paper presents the general idea as well as the two specific, completely implemented realizations for a diagnosis and a planning task.
KW  - Case-based problem solving
KW  - learning system
KW  - explanation-based learning
Y1  - 1999
UR  - https://kluedo.ub.uni-kl.de/frontdoor/index/index/docId/196
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:386-kluedo-1679
N1  - PARIS is a fully implemented system which integrates learning and problem solving (planning).
ER  -