Opportunistic Acquisition of Adaptation Knowledge and Cases - The IakA Approach

A case-based reasoning system relies on different knowledge containers, including cases and adaptation knowledge. The knowledge acquisition that aims at enriching these containers for the purpose of improving the accuracy of the CBR inference may take place during design, maintenance, and also on-line, during the use of the system. This paper describes IakA , an approach to on-line acquisition of cases and adaptation knowledge based on interactions with an oracle (a kind of "ideal expert"). IakA exploits failures of the CBR inference: when such a failure occurs, the system interacts with the oracle to repair the knowledge base. IakA-NF is a prototype for testing IakA in the domain of numerical functions with an automatic oracle. Two experiments show how IakA opportunistic knowledge acquisition improves the accuracy of the CBR system inferences. The paper also discusses the possible links between IakA and other knowledge acquisition approaches.

[1]  Henri Prade,et al.  Fuzzy Modelling of Case-Based Reasoning and Decision , 1997, ICCBR.

[2]  Mathieu d'Aquin,et al.  Case Base Mining for Adaptation Knowledge Acquisition , 2007, IJCAI.

[3]  Barry Smyth,et al.  Adaptation-Guided Retrieval: Questioning the Similarity Assumption in Reasoning , 1998, Artif. Intell..

[4]  Luc Lamontagne,et al.  Case-Based Reasoning Research and Development , 1997, Lecture Notes in Computer Science.

[5]  M. Kendall,et al.  The Advanced Theory of Statistics: Volume 1, Distribution Theory , 1978 .

[6]  Alain Mille,et al.  Failure Analysis for Domain Knowledge Acquisition in a Knowledge-Intensive CBR System , 2007, ICCBR.

[7]  Susan Craw,et al.  Learning adaptation knowledge to improve case-based reasoning , 2006, Artif. Intell..

[8]  David C. Wilson,et al.  Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning , 1997, IJCAI.

[9]  David C. Wilson,et al.  Learning to Improve Case Adaption by Introspective Reasoning and CBR , 1995, ICCBR.

[10]  Stefan Wess,et al.  Topics in Case-Based Reasoning , 1994 .

[11]  F. Wilcoxon.  Individual Comparisons by Ranking Methods , 1945 .

[12]  Barry Smyth,et al.  Retrieving Adaptable Cases: The Role of Adaptation Knowledge in Case Retrieval , 1993, EWCBR.

[13]  Alain Mille,et al.  Engineering and Learning of Adaptation Knowledge in Case-Based Reasoning , 2006, EKAW.

[14]  Steffen Staab,et al.  Managing Knowledge in a World of Networks , 2008 .

[15]  Kristian J. Hammond,et al.  Explaining and Repairing Plans that Fail , 1987, IJCAI.