Featured papers, researchers and projects, links to CBR people, research centres and projects, along with a comprehensive guide to software tools, a searchable online bibliography, virtual library, and a mailing list.

A list of home pages for people in machine learning and case-based reasoning.

Contents of book by Ian Watson, on Morgan Kaufmann Publishers site. Can order online.

"System that aids conceptual design of electro-mechanical devices and is based on the paradigm of Case-based Reasoning." Project information, members, publications.

"This paper gives an overview of the foundational issues related to case-based reasoning, describes some of the leading methodological approaches within the field, and exemplifies the current state through pointers to some systems." Published in 1994 in AICOM (Artificial Intelligence Communications).

Abstract for full paper, PDF full text available. "An architecture is presented for combining rule-based and case-based reasoning." Published in Artificial Intelligence in 1996.

Direct link to CBR software and materials in the CMU AI repository.

Short intro includes information about technical issues, applications, suitability conditions, tools, and related websites and mailing lists.

CBR is proposed as a basis to support recognition-primed decision making by system operators. A conceptual architecture that uses case-based reasoning as a source of control expertise is offered to support operations planning and automatic control. Published in 1995 Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics.

Abstract of paper about use of CBR in radiology (selecting diagnostic imagery techniques).