Towards a General Framework for Substitutional Adaptation in Case-Based Reasoning

Abstract. Adaptation is one of the most problematic steps in the design and development of Case Based Reasoning (CBR) systems, as it may require considerable domain knowledge and involve complex knowledge engineering tasks. This paper describes a general framework for substitutional adaptation, which only requires analogical domain knowledge, very similar to the one required to define a similarity function. The approach is formally defined, and its applicability is discussed with reference to case structure and its variability. A case study focused on the adaptation of cases related to truck tyre production processes is also presented.

• Type: Conference
• Year: 2005
• Where: AIIA
• Authors: Sara Manzoni, Fabio Sartori, Giuseppe Vizzari
• Keywords: AIIA 2005, Analogical Domain Knowledge, Artificial Intelligence, Considerable Domain Knowledge, Domain Knowledge