Diagnostic reasoning based on structure and behavior
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
ESCORT: the application of causal knowledge to real-time process control
Proc. of the fifth technical conference of the British Computer Society Specialist Group on Expert Systems on Expert systems 85
Building expert systems
Principles of artificial intelligence
Principles of artificial intelligence
INCA - An Innovative Approach to Constructing Large-Scale Real-Time Expert Systems
IAAI '90 Proceedings of the The Second Conference on Innovative Applications of Artificial Intelligence
Policy-driven fault management in distributed systems
ISSRE '96 Proceedings of the The Seventh International Symposium on Software Reliability Engineering
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Today's computer networks are large and complex. Their day-to-day operation and maintenance can benefit from the support of an expert system, mainly as an aid in troubleshooting. Network troubleshooting has characteristics, like incomplete data, high rate of events, simultaneous presence of several problems, which raise interesting problems in the development of an expert system. DANTES is an expert system designed to provide real-time assistance to network operators. This paper presents the system and stresses the development issues that are peculiar to network troubleshooting. Of particular importance are performance of inference in real-time, multi-problem handling, and consideration of time in reasoning and revision of belief Dealing with such issues and especially with real-time efficiency is primarily a question of system design. This has implications for the knowledge base organization, reasoning mechanism, and recording of deductions.