Case-base reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving: new problems are solved by reusing the solutions to similar problems that have been solved in the past. To date CBR has enjoyed considerable 2 R. LÓPEZ DE MÁNTARAS ET AL. success in a wide variety of problem solving tasks and domains. In this paper, following a brief overview of the traditional problem-solving cycle in case-based reasoning, we examine the cognitive science foundations of CBR and the relationship between CBR and analogical reasoning. We then go on to review a representative selection of CBR research on aspects o
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important...
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) s...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This critical literature review documents the shifts and variations in Case-Based Reasoning (CBR) te...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-Based Reasoning (CBR) is a rapidly growing eld in AI. It is a memory-driven approach to problem...
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previousl...
Case-based reasoning (CBR) is now a mature subfield of artificial intelligence. The fundamental prin...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
Case-based reasoning (CBR) was first formalised in the 1980s following from the work of Schank and o...
Case-based reasoning (CBR) was first formalised in the 1980s following from the work of Schank and o...
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important...
Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior exper...
Cognitive Systems understand the world through learning and experience. Case Based Reasoning (CBR) s...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
This critical literature review documents the shifts and variations in Case-Based Reasoning (CBR) te...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-Based Reasoning (CBR) is a rapidly growing eld in AI. It is a memory-driven approach to problem...
Case-based reasoning (CBR) infers a solution to a new problem by searching a collection of previousl...
Case-based reasoning (CBR) is now a mature subfield of artificial intelligence. The fundamental prin...
This paper gives a survey about existing case-based reasoning systems and what can be learned from t...
Case-based reasoning (CBR) was first formalised in the 1980s following from the work of Schank and o...
Case-based reasoning (CBR) was first formalised in the 1980s following from the work of Schank and o...
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
Case-based Reasoning (CBR), a method of analogical reasoning which is common and extremely important...