CBR for diagnosis and decision support

Issue title: ECAI-96 Budapest

Article type: Research Article

Authors: Lenz, Mario | Burkhard, Hans-Dieter | Pirk, Petra | Auriol, Eric | Manago, Michel

Affiliations: Humboldt-Universität zu Berlin, LFG für KI, Institut für Informatik, Lindenstraße 54a, 10117 Berlin, Germany. E-mail: lenz@informatik.hu-berlin.de, hdb@informatik.hu-berlin.de and pirk@informatik.hu-berlin.de | AcknoSoft, 58a rue du Dessous-des-Berges, F-75013 Paris, France

Abstract: This article focuses on the utilisation of the Case-Based Reasoning paradigm for solving problems concerned with diagnosis and decision support. After a brief overview, the pros and cons of CBR for diagnostic purposes will be discussed. Finally, a section on prototypical and fielded applications will demonstrate the applicability of the paradigm.

DOI: 10.3233/AIC-1996-9306

Journal: AI Communications, vol. 9, no. 3, pp. 138-146, 1996