IEEE Transactions on Systems, Man and Cybernetics
Knowledge representation and inference in intelligent decision systems
Knowledge representation and inference in intelligent decision systems
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Decision analysis: practice and promise
Management Science
An approximate nonmyopic computation for value of information
Proceedings of the seventh conference (1991) on Uncertainty in artificial intelligence
Fusion and propagation with multiple observations in belief networks
Artificial Intelligence
Probabilistic similarity networks
Probabilistic similarity networks
Computation and action under bounded resources
Computation and action under bounded resources
Reformulating inference problems through selective conditioning
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
Representing context-sensitive knowledge in a network formalism: a preliminary report
UAI '92 Proceedings of the eighth conference on Uncertainty in Artificial Intelligence
On state-space abstraction for anytime evaluation of Bayesian networks
ACM SIGART Bulletin
Dynamic construction of belief networks
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
Ideal reformulation of belief networks
UAI '90 Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence
The concept of influence and its use in structuring complex decision problems.
The concept of influence and its use in structuring complex decision problems.
Myopic Policies in Sequential Classification
IEEE Transactions on Computers
Decision-theoretic foundations for causal reasoning
Journal of Artificial Intelligence Research
Reflection and action under scarce resources: theoretical principles and empirical study
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Clustering without (thinking about) triangulation
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Efficient decision-theoretic planning: techniques and empirical analysis
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
A Bayesian approach to learning causal networks
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
Bayesian Update of Recursive Agent Models
User Modeling and User-Adapted Interaction
Rational Communication in Multi-Agent Environments
Autonomous Agents and Multi-Agent Systems
An Information-Theoretic Approach for the Quantification of Relevance
ECAL '01 Proceedings of the 6th European Conference on Advances in Artificial Life
Efficient non-myopic value-of-information computation for influence diagrams
International Journal of Approximate Reasoning
Efficient active fusion for decision-making via VOI approximation
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Structured arc reversal and simulation of dynamic probabilistic networks
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
Myopic value of information in influence diagrams
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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We derive qualitative relationships about the informational relevance of variables in graphical decision models based on a consideration of the topology of the models. Specifically, we identify dominance relations for the expected value of information on chance variables in terms of their position and relationships in influence diagrams. The qualitative relationships can be harnessed to generate nonnumerical procedures for ordering uncertain variables in a decision model by their informational relevance.