This paper presents a method for automating the revise phase of case-based reasoning systems. The revision is carried out using a rule -based system, which adapts its rules or knowledge base as the working environment, to which the system is applied, evolves in time. This actualisation is carried out by a belief revision technique. An example has been introduced to illustrate the working mode of the revision techniqu
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
University of Technology, Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVA...
With the rapid development of case-based reasoning (CBR) techniques such as case retrieval and case ...
International audienceAdaptation is a task of case-based reasoning (CBR) that aims at modifying a ca...
International audienceAdaptation is a task of case-based reasoning (CBR) that aims at modifying a ca...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
The knowledge acquired through past experiences is of the most importance when humans or machines tr...
Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar...
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
The knowledge acquired through past experiences is of the most importance when humans or machines tr...
Case-Based Reasoning is a reasoning model for problem resolution by reusing the experience of previo...
Abstract. The development of effective knowledge adaption techniques is one of the promising solutio...
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previousl...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
Abstract. Previous case-based reasoning research makes a compelling case for the importance of CBR s...
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
University of Technology, Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVA...
With the rapid development of case-based reasoning (CBR) techniques such as case retrieval and case ...
International audienceAdaptation is a task of case-based reasoning (CBR) that aims at modifying a ca...
International audienceAdaptation is a task of case-based reasoning (CBR) that aims at modifying a ca...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
The knowledge acquired through past experiences is of the most importance when humans or machines tr...
Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar...
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
The knowledge acquired through past experiences is of the most importance when humans or machines tr...
Case-Based Reasoning is a reasoning model for problem resolution by reusing the experience of previo...
Abstract. The development of effective knowledge adaption techniques is one of the promising solutio...
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previousl...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
Abstract. Previous case-based reasoning research makes a compelling case for the importance of CBR s...
The knowledge stored in a case base is central to the problem solving of a case-based reasoning (CBR...
University of Technology, Sydney. Faculty of Engineering and Information Technology.NO FULL TEXT AVA...
With the rapid development of case-based reasoning (CBR) techniques such as case retrieval and case ...