The background of this paper is the area of case-based reasoning. This is a reasoning technique where one tries to use the solution of some problem which has been solved earlier in order to obtain a solution of a given problem. As example of types of problems where this kind of reasoning occurs very often is the diagnosis of diseases or faults in technical systems. In abstract terms this reduce...

Abstract. Reasoning and learning from cases are based on the concept of similarity often estimated by a distance. This paper presents LAUD, a distance measure that can be used to estimate similarity among relational cases. This measure is adequate for domains where cases are best represented by relations among entities. An experimental evaluation of the accuracy of LAUD is presented for the tas...

The goal of this paper is to show how it is possible to support design decisions with two different tools relying on two kinds of knowledge: case-based reasoning operating with contextual knowledge embodied in past cases and constraint filtering that operates with general knowledge formalized using constraints. Our goals are, firstly to make an overview of existing works that analyses the vario...

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Quality on the welfare services in caring, and the trend to minimize the economical and social-political costs that come with such practice, due to the population aging, are paramount nowadays, i.e., health care reform has become the leading policy issue in all latitudes. Indeed, the major thrust of all this research is the perception that escalating costs make the current structure and financi...

Most case-based reasoning systems have used a single "best" or "most similar" case as the basis for a solution. For many problems, however, there is no single exact solution. Rather, there is a range of acceptable answers. We use cases not only as a basis for a solution, but also to indicate the boundaries within which a solution can be found. We solve problems by choosing some point within tho...

A primary research stream that contributed to the birth of case-based reasoning (CBR) was AI and Law. Since law is largely about cases, it is a particularly interesting domain for CBR researchers. This article surveys some of the historically significant systems and developments in this field.

ECCBR 2008 is the 9th European Conference on Case-Based Reasoning (CBR) following a series of successful European conferences and workshops. This four-day conference will be held at the University of Trier in Germany from 1–4 September 2008. The conference programme will include invited talks, oral and poster presentations as well as workshops (see separate calls) on both fundamental and applie...