Case-based reasoning systems store information about situations in their memory. As new problems arise, similar situations are searched to help solve them. The author places special emphasis on applying case-based reasoning to complex real-world problem- solving tasks such as medical diagnosis, design, conflict resolution, and planning. The approach combines cognitive science and engineering, and is based on analysis of both expert and common- sense tasks. Guidelines for building case-based expert systems are provided. Annotation copyright Book News, Inc. Portland, Or. Book Description
textabstractOver the past decade, case-based reasoning (CBR) has emerged as a major research area wi...
Case-based reasoning, broadly construed, is the process of solving new problems based on the solutio...
In this paper we present the results of the MIE/GMDS-2000 Workshop 'Case-Based Reasoning for Medical...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
Case-based reasoning (CBR) is now a mature subfield of artificial intelligence. The fundamental prin...
This paper gives an overview of the foundational issues related to case based reasoning, describes s...
Traditional expert systems model human problem solving as a deductive process. They construct a solu...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
The "frame problem" is at the core of artificial intelligence and decision making research...
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Within this paper we focus on both the solution of real, complex problems using expert system techno...
Case Based Reasoning (CBR) is an intelligent systems methodology that enables information managers t...
Traditional expert systems model human problem solving as a deductive process. They construct a sol...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
textabstractOver the past decade, case-based reasoning (CBR) has emerged as a major research area wi...
Case-based reasoning, broadly construed, is the process of solving new problems based on the solutio...
In this paper we present the results of the MIE/GMDS-2000 Workshop 'Case-Based Reasoning for Medical...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
Case-based reasoning (CBR) is now a mature subfield of artificial intelligence. The fundamental prin...
This paper gives an overview of the foundational issues related to case based reasoning, describes s...
Traditional expert systems model human problem solving as a deductive process. They construct a solu...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
The "frame problem" is at the core of artificial intelligence and decision making research...
This paper surveys the field of case-based reasoning (CBR) -- both in science and in industrial appl...
Within this paper we focus on both the solution of real, complex problems using expert system techno...
Case Based Reasoning (CBR) is an intelligent systems methodology that enables information managers t...
Traditional expert systems model human problem solving as a deductive process. They construct a sol...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
textabstractOver the past decade, case-based reasoning (CBR) has emerged as a major research area wi...
Case-based reasoning, broadly construed, is the process of solving new problems based on the solutio...
In this paper we present the results of the MIE/GMDS-2000 Workshop 'Case-Based Reasoning for Medical...