Intelligent Diagnosis Systems

Balakrishnan, Karthik and Honavar, Vasant (1995) Intelligent Diagnosis Systems. Technical Report TR95-22, Department of Computer Science, Iowa State University.

Abstract

Intelligent Diagnosis Systems
Karthik Balakrishnan & Vasant Honavar
Artificial Intelligence Research Group
Department of Computer Science
Iowa State University
Ames, Iowa 50011-1040
balakris@cs.iastate.edu, honavar@cs.iastate.edu
Abstract
This paper examines and compares several different approaches to the design
of
intelligent systems for diagnosis and advising applications.
These include
expert systems or knowledge-based systems, case-based reasoning
systems, truth (or reason) maintenance systems, statistical pattern
classification systems, decision trees, and artificial neural networks
(or connectionist systems). The key aspects of each approach are
demonstrated through the design of a system for a simple automobile
fault diagnosis task. The paper also discusses the domain characteristics
and design and performance requirements that influence
the choice of a specific technique (or a combination of techniques) for
a given application.


Subjects:
All uncategorized technical reports


ID code:
00000110
Deposited by:
Staff Account on 03 October 1995





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