Proceedings

DANTES: An Expert System for Real-Time Network Troubleshooting

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Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 527-529.

Abstract

Today's ~omputu networks ar• IDrg• and ~omplu. Their dayto-day operation and malntenan~• ~an benefit from the support of an •xpert system, mainly as an aid in troubleshooting. Network troubleshooting has ~hara~tuisti~s, like in~omplete data, high rate of events, simultan•ous presence of several problems, whi~h raise inter•sting probl•ms in the d•velopment of an expert system. DANTES is an expert system designed to provide r•al-time assistance to network operators. This paper presents the system and stresses the dndopment issu•s that are peculiar to network troubleshoot i ng . Of parti~ular importance are : performance of inferen~e in r•al-time, multi-problem handling, and ~ons ideration of time in reasoning and revision of belief. Dealing with su~h issues and especially with real-time effi~iency is primarily a question of system design. This has impli~ations for th• knowledg• base organization, reasoning me~hanism, and re~ording of dedu~tions

Robert Mathonet, Herwig Van Cotthem, and Leon Vanryckeghem. 1987. DANTES: An Expert System for Real-Time Network Troubleshooting. In Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87. IJCAI, 527–529. https://ijcai.org/proceedings/1987/105
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