Abstract. By design, Case-Based Reasoning (CBR) systems do not need deep general knowledge. In contrast to (rule-based) expert systems, CBR systems can already be used with just some initial knowledge. Fur-ther knowledge can then be added manually or learned over time. CBR systems are not addressing a special group of users. Expert systems, on the other hand, are intended to solve problems similar to human ex-perts. Because of the complexity and difficulty of building and using expert systems, research in this area addressed generating explanations right from the beginning. But for knowledge-intensive CBR applications, the demand for explanations is also growing. This paper is a first pass on examining issues concerning explanations produce...
Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
Research on explanation in Case-Based Reasoning (CBR) is a topic that gains momentum. In this conte...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Case-Based Reasoning (CBR) is a rapidly growing eld in AI. It is a memory-driven approach to problem...
Abstract. We present an overview of different theories of explanation from the philosophy and cognit...
International audienceCase-based reasoning (CBR) uses various knowledge containers for problem solvi...
International audienceCase-based reasoning (CBR) uses various knowledge containers for problem solvi...
. Case-based reasoning depends on multiple knowledge sources beyond the case library, including know...
This paper gives an overview of the foundational issues related to case based reasoning, describes s...
Experience plays an important role in the development of human expertise. One computational model of...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
In this paper we present a framework for learning adaptation knowledge which knowledge light approac...
This critical literature review documents the shifts and variations in Case-Based Reasoning (CBR) te...
Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...
Research on explanation in Case-Based Reasoning (CBR) is a topic that gains momentum. In this conte...
In case-based reasoning (CBR) a problem is solved by matching the problem description to a previousl...
Case-Based Reasoning (CBR) is a rapidly growing eld in AI. It is a memory-driven approach to problem...
Abstract. We present an overview of different theories of explanation from the philosophy and cognit...
International audienceCase-based reasoning (CBR) uses various knowledge containers for problem solvi...
International audienceCase-based reasoning (CBR) uses various knowledge containers for problem solvi...
. Case-based reasoning depends on multiple knowledge sources beyond the case library, including know...
This paper gives an overview of the foundational issues related to case based reasoning, describes s...
Experience plays an important role in the development of human expertise. One computational model of...
Case-based reasoning is a recent approach to problem solving and learning that has got a lot of atte...
In this paper we present a framework for learning adaptation knowledge which knowledge light approac...
This critical literature review documents the shifts and variations in Case-Based Reasoning (CBR) te...
Case-based reasoning (CBR) is a simple idea: solve new problems by adapting old solutions to similar...
A surprisingly large number of research disciplines have contributed towards the development of know...
Case-Based Reasoning (CBR) is an Artificial Intelligence approach to learning and problem solving ba...