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 …

As case-based reasoning systems are deployed in real-world situations the issue of case
maintenance becomes more and more critical. Uncontrolled case-base growth can cause …

Autonomously discovering temporally extended actions, or skills, is a longstanding goal of
hierarchical reinforcement learning. We propose a new algorithm that combines skill …

The central task for experience management is the retrieval of reusable experience. This
retrieval task requires additional knowledge besides the experience itself. It requires …

The utility problem occurs when the cost associated with searching for relevant knowledge
outweighs the benefit of applying this knowledge. One common machine learning strategy …

Rule‐based and case‐based reasoning are two popular approaches used in intelligent
systems. Rules usually represent general knowledge, whereas cases encompass …

The competence of a case-based system (the range of problems it can solve) depends
critically on the cases in the case-base. However, the precise relationship between cases …

This handbook provides information about fundamental aspects of the field and explores the
myriad applications of fuzzy logic techniques and methods. It presents basic conceptual …

This paper addresses the role of abstraction in case-based reasoning. We develop a
general framework for reusing cases at several levels of abstraction, which is particularly …

We formalize the problem of selecting the optimal set of options for planning as that of
computing the smallest set of options so that planning converges in less than a given …