Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Elements of information theory
Elements of information theory
Technical Note: \cal Q-Learning
Machine Learning
Domains: a framework for structuring management policy
Network and distributed systems management
Decision-theoretic troubleshooting
Communications of the ACM
Network management (2nd ed.): a practical perspective
Network management (2nd ed.): a practical perspective
A coding approach to event correlation
Proceedings of the fourth international symposium on Integrated network management IV
Integrated management of networked systems: concepts, architectures, and their operational application
Dynamic Programming and Optimal Control
Dynamic Programming and Optimal Control
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Neuro-Dynamic Programming
A comparison of decision alaysis and expert rules for sequential diagnosis
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
Distributed management by delegation
ICDCS '95 Proceedings of the 15th International Conference on Distributed Computing Systems
Planning and acting in partially observable stochastic domains
Artificial Intelligence
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In this paper, we present a framework for supporting intelligent fault and performance management for communication networks. Belief networks are taken as the basis for knowledge representation and inference under evidence. When using belief networks for diagnosis, we identify two questions: When can I say that I get the right diagnosis and stop? If right diagnosis has not been obtained yet, which test should I choose next? For the first question, we define the notion of right diagnosis via the introduction of intervention networks. For the second question, we formulate the decision making procedure using the framework of partially observable Markov decision processes. A heuristic dynamic strategy is proposed to solve this problem and the effectiveness is shown via simulation.