creators_name: Balakrishnan, Karthik creators_name: Honavar, Vasant type: journalp datestamp: 2002-09-21 lastmod: 2011-03-11 08:55:00 metadata_visibility: show title: Intelligent Diagnosis Systems ispublished: pub subjects: comp-sci-mach-learn subjects: comp-sci-neural-nets subjects: comp-sci-art-intel full_text_status: public keywords: Intelligent diagnosis, expert systems, neural networks, case-based reasoning, model-based systems, decision trees, knowledge acquisition abstract: This paper examines and compares several different approaches to design of intelligent systems for diagnosis applications. These include expert systems (or knowledge based systems), truth (or reason) maintenance systems, case based reasoning systems, and inductive approaches like decision trees, neural networks (or connectionist systems), and statistical pattern classification systems. Each of these approaches is demonstrated through the design of a system for a simple automobile fault diagnosis task. The paper also discusses the domain characteristics that influence the choice of a specific technique (or combination of techniques) for a given application. date: 1998 date_type: published publication: Journal of Intelligent Systems volume: 8 number: 3/4 pagerange: 239-290 refereed: TRUE citation: Balakrishnan, Karthik and Honavar, Vasant (1998) Intelligent Diagnosis Systems. [Journal (Paginated)] document_url: http://cogprints.org/2469/1/diagnosis.pdf