This paper contains a brief overview of case-based reasoning (CBR) with an emphasis on European activities in the field. The main objective was to have a balance between brevity and expressiveness and providing helpful pointers to the field. It identifies major open problems of CBR associated with: retrieval/selection, memory organization, matching, adaptation/evaluation, forgetting and, finally, integration with other techniques. It is intended for readers with knowledge in the area and contains a list of almost one hundred references in the field
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
A surprisingly large number of research disciplines have contributed towards the development of know...
Software products are taking and increasingly important part in everyday life and all kinds of indus...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
This paper gives an overview of the foundational issues related to case based reasoning, describes s...
Abstract. In this book, we have colleted a selection of papers on very re-cent Case-based reasoning ...
Case-based reasoning (CBR) is now a mature subfield of artificial intelligence. The fundamental prin...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
. Case-based reasoning depends on multiple knowledge sources beyond the case library, including know...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
Case-based reasoning (CBR) was first formalised in the 1980s following from the work of Schank and o...
This critical literature review documents the shifts and variations in Case-Based Reasoning (CBR) te...
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
A surprisingly large number of research disciplines have contributed towards the development of know...
Software products are taking and increasingly important part in everyday life and all kinds of indus...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
This paper gives an overview of the foundational issues related to case based reasoning, describes s...
Abstract. In this book, we have colleted a selection of papers on very re-cent Case-based reasoning ...
Case-based reasoning (CBR) is now a mature subfield of artificial intelligence. The fundamental prin...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
. Case-based reasoning depends on multiple knowledge sources beyond the case library, including know...
Case-Based Reasoning is a methodology that uses information that has been considered as valid in pre...
Case-based reasoning (CBR) was first formalised in the 1980s following from the work of Schank and o...
This critical literature review documents the shifts and variations in Case-Based Reasoning (CBR) te...
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
A surprisingly large number of research disciplines have contributed towards the development of know...
Software products are taking and increasingly important part in everyday life and all kinds of indus...