LSA, University of Kaiserslautern. Ouvrage (éditeur).This half-a-day workshop took place during the Third Internation Conference on Case-Based Reasoning (ICCBR-99). Five papers were presented and there were some discussions about adaptation in CBR. The papers are: [P. Avesani and E. Blanzieri] ``Adaptation-Dependent Retrieval Problem: A Formal Definition''. [Béatrice Fuchs] ``A Knowledge-level Analysis of Adaptation in CBR'' [P. Gonzales-Calero and colleagues] ``A Subsitution-Based Adaptation Model''. [J. Lieber] ``Reformulations and Adaptation Decomposition''. [N. Neagu and B. Faltings] ``Constraint Satisfaction for Case Adaptation''
In case-based reasoning (CBR), problems are solved by retrieving prior cases and adapting their solu...
The ability of case-based reasoning (CBR) systems to apply cases to novel situations depends on thei...
This thesis presents some contributions in three research domains : case-based reasoning, knowledge ...
The CBR team of the LISA is involved in several applied research projects based on the CBR paradigm....
International audienceCase-based reasoning (CBR) uses various knowledge containers for problem solvi...
Adaptation is the least well studied process in case-based reasoning (CBR). The main reasons for thi...
Although several systematic analyses of existing approaches to adaptation have been published recent...
In this paper we present a framework for learning adaptation knowledge which knowledge light approac...
In current CBR systems, case adaptation is usually performed by rule-based methods that use task-sp...
In case-based reasoning (CBR), problems are solved by retrieving prior cases and adapting their solu...
This document presents some researches centered on the issue of the design of a case-based reasoning...
Colloque avec actes et comité de lecture.Case-based reasoning exploits memorized problem solving epi...
Several current AI techniques are based on the reuse of problem solving knowledge. Case-based reason...
In this paper we present a framework for learning adaptation knowledge with knowledge light approach...
In case-based reasoning systems, the case adaptation process is traditionally controlled by static l...
In case-based reasoning (CBR), problems are solved by retrieving prior cases and adapting their solu...
The ability of case-based reasoning (CBR) systems to apply cases to novel situations depends on thei...
This thesis presents some contributions in three research domains : case-based reasoning, knowledge ...
The CBR team of the LISA is involved in several applied research projects based on the CBR paradigm....
International audienceCase-based reasoning (CBR) uses various knowledge containers for problem solvi...
Adaptation is the least well studied process in case-based reasoning (CBR). The main reasons for thi...
Although several systematic analyses of existing approaches to adaptation have been published recent...
In this paper we present a framework for learning adaptation knowledge which knowledge light approac...
In current CBR systems, case adaptation is usually performed by rule-based methods that use task-sp...
In case-based reasoning (CBR), problems are solved by retrieving prior cases and adapting their solu...
This document presents some researches centered on the issue of the design of a case-based reasoning...
Colloque avec actes et comité de lecture.Case-based reasoning exploits memorized problem solving epi...
Several current AI techniques are based on the reuse of problem solving knowledge. Case-based reason...
In this paper we present a framework for learning adaptation knowledge with knowledge light approach...
In case-based reasoning systems, the case adaptation process is traditionally controlled by static l...
In case-based reasoning (CBR), problems are solved by retrieving prior cases and adapting their solu...
The ability of case-based reasoning (CBR) systems to apply cases to novel situations depends on thei...
This thesis presents some contributions in three research domains : case-based reasoning, knowledge ...