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DELTA: An expert system to troubleshoot diesel electric locomotives

Published: 01 January 1983 Publication History

Abstract

In the last few years, expert systems have become the most visible and fastest growing branch of Artificial Intelligence. Their objective is to capture the knowledge of an expert in a particular problem domain, represent it in a modular, expandable structure, and transfer it to other users in the same problem domain. To accomplish this goal, it is necessary to address issues of knowledge acquisition, knowledge representation, inference mechanisms, control strategies, user interface and dealing with uncertainty.

Cited By

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  • (2012)More Intelligent Statistical Software and Statistical Expert Systems: Future DirectionsThe American Statistician10.1080/00031305.1985.1047937539:1(1-8)Online publication date: 12-Mar-2012
  • (2012)An ontology-driven decision support system for high-performance and cost-optimized design of complex railway portal framesExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.02.00239:10(8784-8792)Online publication date: 1-Aug-2012
  • (1992)JETA: A knowledge-based approach to aircraft gas turbine engine maintenanceApplied Intelligence10.1007/BF000585742:1(25-46)Online publication date: Jul-1992
  • Show More Cited By

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cover image ACM Conferences
ACM '83: Proceedings of the 1983 annual conference on Computers : Extending the human resource
January 1983
278 pages
ISBN:0897911202
DOI:10.1145/800173
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 January 1983

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Cited By

View all
  • (2012)More Intelligent Statistical Software and Statistical Expert Systems: Future DirectionsThe American Statistician10.1080/00031305.1985.1047937539:1(1-8)Online publication date: 12-Mar-2012
  • (2012)An ontology-driven decision support system for high-performance and cost-optimized design of complex railway portal framesExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.02.00239:10(8784-8792)Online publication date: 1-Aug-2012
  • (1992)JETA: A knowledge-based approach to aircraft gas turbine engine maintenanceApplied Intelligence10.1007/BF000585742:1(25-46)Online publication date: Jul-1992
  • (1989)An Industrial First Generation Kbs (Expert System): Delta/CatsExpert Systems in Structural Safety Assessment10.1007/978-3-642-83991-7_5(80-89)Online publication date: 1989
  • (1989)Knowledge Representation and Inference in Knowledge Based Systems (Expert Systems)Expert Systems in Structural Safety Assessment10.1007/978-3-642-83991-7_3(53-65)Online publication date: 1989
  • (1988)A knowledge-based diagnosis system for automobile enginesThe International Journal of Advanced Manufacturing Technology10.1007/BF026015983:3(159-169)Online publication date: Jul-1988

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