Artificial Intelligence
Model-based reasoning: troubleshooting
Exploring artificial intelligence
Second generation expert systems
Second generation expert systems
Communications of the ACM
Functional Reasoning and Functional Modelling
IEEE Expert: Intelligent Systems and Their Applications
Robust fault diagnosis of physical systems in operation
Robust fault diagnosis of physical systems in operation
Directions for AI in the eighties
ACM SIGART Bulletin
Modeling dynamic collections of interdependent objects using path-based rules
Proceedings of the 12th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications
ANSWER: network monitoring using object-oriented rules
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A model based reasoning approach to network monitoring
CIKM '96 Proceedings of the workshop on Databases: active and real-time
R++: Adding Path-Based Rules to C++
IEEE Transactions on Knowledge and Data Engineering
Distributed Mobile Communication Base Station Diagnosis and Monitoring Using Multi-agents
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Path-based rules in object-oriented programming
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
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Device representation and reasoning with affective relations occupies a middle ground between classical model-based diagnosis and heuristic expert systems. A device is modeled by specifying a set of diagnostically motivated affective relations among its components. Reasoning is then performed by a set of inference rules that reason with the model to propagate symptoms through the components. Representation and reasoning with affective relations extends several benefits of classical model-based diagnosis--the model as a unifying framework for knowledge, methodical coverage of the domain, and diagnostic reasoning based on equipment design and causality--to a class of problems where classical model-based diagnosis cannot be applied because the required models cannot be reasonably obtained or represented. Our work evolved from our redesign of a heuristic expert system for monitoring long-distance telephone switching systems, and is applicable to highly complex self-checking systems.