Community-Based Rehabilitation (CBR) and empowerment are critical issues in contemporary discourse within both development studies and disability studies. These issues have long been fraught with controversy, yet there remains little understanding of how CBR and empowerment interrelate, not only within programmes but also in a normative sense. There is even less understanding of what the outcom...

In the CBR literature from the past 25 years there is a considerable amount of research work that makes use of cases that are subspaces of some representation space rather than points in it. For cases of that kind, different terms have been used such as generalized case, prototype, schema, script, or abstract case. Our analysis of selected publications yields that on the one hand the same term ...

The aim of this paper is to introduce a new method for finding and reusing process equipment design and inherently safer process configurations by case-based reasoning (CBR) and object database techniques. CBR is based on finding most alike existing solutions and applying the knowledge of their properties for solving new problems in the early phases of design. This supports design engineer's kn...

One of the major issues confronting case-based reasoning (CBR) is rapid retrieval of similar cases from a large case base. This paper describes three algorithms which address this problem. The first algorithm works with quantitative cases using a graphical paradigm where the hyperspace containing the cases is divided into smaller and smaller hypercubes. The retrieval time for this algorithm is ...

The case* based reasoning process depends on multiple overlapping knowledge sources, each of which provides an opportunity for learning. Exploiting these opportunities requires not only determining the learning mechanisms to use for each individual knowledge source, but also how the different learning mechanisms interact and their combined utility. This paper presents a case study examining the...

Much current CBR research focuses on how to compact, rene, and augment the contents of individual case bases, in order to distill needed information into a single concise and authoritative source. However, as deployed case-based reasoning systems become increasingly prevalent, opportunities will arise for supplementing local case bases on demand, by drawing on the case bases of other CBR system...

Case Based Reasoning is a feasible approach for recognizing and predicting behavior of agents within the RoboCup domain. Using the method described here, on average 98.4 percent of all situations within a game of virtual robotic soccer have been successfully classified as part of a behavior pattern. Based on the assumption that similar triggering situations lead to similar behavior patterns, a ...