A Case for Folk Arguments in Case-Based Reasoning

An approach to enhancement of case-based reasoning in situations where substantial amounts of the knowledge are expressed as informal or “folk” arguments is applied to the authentication (dating) of paintings. It emphasizes knowledge acquisition templates, indexing through numerical taxonomy and close attention to typing of the arguments. This work has shown that even simple types can be regarded as attributes of the arguments, hence attributes of their cases. The cases are then organized and retrieved through structuring of the case bases by methods of numerical taxonomy. Expertise expressed as texts of detailed reports on dating of paintings from historical and chemical knowledge is the source material from which the cases are constructed. Case bases with and without folk-argument knowledge, for the same paintings, are compared for their ability to assign correct date ranges. In this test, the performance of the case base containing argument knowledge is consistently superior.

[1]  Kevin D. Ashley,et al.  Law, learning and representation , 2003, Artif. Intell..

[2]  Bernard F. Buxton,et al.  Folk Arguments, Numerical Taxonomy and Case-Based Reasoning , 2008, ECCBR.

[3]  Nicholas Eastaugh,et al.  Scientific dating of paintings , 2006 .

[4]  Bernard F. Buxton,et al.  A Case for Numerical Taxonomy in Case-Based Reasoning , 2008, SBIA.

[5]  Ana Gabriela Maguitman,et al.  Logical models of argument , 2000, CSUR.

[6]  Peter H. A. Sneath,et al.  Numerical Taxonomy: The Principles and Practice of Numerical Classification , 1973 .

[7]  V. R. Benjamins,et al.  Problem-Solving Methods for Diagnosis and their Role in Knowledge Acquisition , 1996 .

[8]  N. Eastaugh,et al.  The pigment compendium: optical microscopy of historical pigments , 2004 .

[9]  Eric O. Postma,et al.  Computer analysis of Van Gogh's complementary colours , 2007, Pattern Recognit. Lett..

[10]  H. Prauser,et al.  Robert R. Sokal und Peter H. A. Sneath, Principles of Numerical Taxonomy 1. Aufl. XVI, 359 S., 38 Abb., 21 Tab. San Francisco and London 1963: W. H. Freeman and Company 60 s , 1966 .

[11]  Barry Smyth,et al.  Advances in Case-Based Reasoning , 1996, Lecture Notes in Computer Science.

[12]  Guus Schreiber,et al.  Knowledge Engineering and Management: The CommonKADS Methodology , 1999 .

[13]  Gerson Zaverucha,et al.  Advances in Artificial Intelligence - SBIA 2008, 19th Brazilian Symposium on Artificial Intelligence, Savador, Brazil, October 26-30, 2008. Proceedings , 2008, SBIA.

[14]  Alexander Rush,et al.  Cognitive Patterns: Problem-Solving Frameworks for Object Technology , 1998 .