Wilke, W., Vollrath, I., Althoff, K.D., Bergmann, R.: A framework for learning adaptation knowledge based on knowledge light approaches. In 5th German Workshop on CBR, 1997.  Home/Search Document Details and Download
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Learning to Adapt for Case-Based Design - Wiratunga, Craw, Rowe (2002) (Correct)
....tools. Our contribution falls within this area of research and is particularly focused on design tasks. Since adaptation knowledge is elicited from cases that are already available in the case base our work also falls under the knowledge light approach to learning adaptation knowledge proposed in [19]. Systems that advocate the knowledge light approach typically apply adaptations according to differences between the new problem and the retrieved case s problem. McSherry s CREST system [9] explicitly finds a case pair from the existing case base with similar differences and uses the ....
Wilke, W., Vollrath, I., Althoff, K.D., Bergmann, R.: A framework for learning adaptation knowledge based on knowledge light approaches. In 5th German Workshop on CBR, 1997.
Using Case-Base Data to Learn Adaptation Knowledge for Design - Jarmulak, Craw, Rowe (2001) (Correct)
....most useful cases, and, in particular, automating the acquisition of adaptation knowledge. These issues are now being addressed in recent research: Smyth and McKenna [1999] aim to build compact competent case bases, Jarmulak et al. 2000] introduce ways of automatically optimising retrieval, and Wilke et al. 1997] consider knowledge light approaches for learning adaptation suitable for incorporation into CBR tools. In this paper we present a selection of generic methods suitable for automating the acquisition of adaptation knowledge for configuration and formulation tasks, a subclass of design tasks. We ....
....between the problem and the best matching case by searching for case pairs with the same difference in corresponding features. The major restriction of this method is the assumption that the estimated value is approximated well by an additive function. This severely limits its application area. Wilke et al. 1997] present a framework for learning adaptation knowledge using knowledge light approaches. Simple algorithms, like optimisation or inductive learning, can make use of the knowledge contained in the case base, the similarity measure, and possibly already existing adaptation knowledge, to learn or ....
Wolfgang Wilke, Ivo Vollrath, KlausDieter Althoff, and Ralph Bergmann. A framework for learning adaptation knowledge based on knowledge light approaches. In 5th German Workshop on CBR, 1997.
CBR in Design: Towards more creative system using.. - Saniepour, Hajji, .. (1998) (Correct)
....of reasoning has been previously used in many works. While Richter [ 5 ] has explained four containers for storing the knowledge in CBR (Vocabulary used to describe the domain, case base, similarity measure used for retrieval, solution transformation used during adaptation) Wilke et al. [ 4 ] have introduced a framework of transforming knowledge from one container to other when there is lack of knowledge in one of the containers. Here we want to investigate the role of adaptation knowledge in situation assessment step. Situation assessment is the process of analyzing a raw situation ....
W. Wilke, I. Vollrath, K. Altho , R. Bergmann, A Framework for Learning Adaptation Knowledge Based on Knowledge Light Approaches, Adaptation in Case Based Reasoning: A Workshop at ECAI 1996 in Budapest (1996)
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