Operations Research
Valuation-based systems for Bayesian decision analysis
Operations Research
Structuring conditional relationships in influence diagrams
Operations Research
A Comparison of Graphical Techniques for Asymmetric Decision Problems
Management Science
Representing asymmetric decision problems using coarse valuations
Decision Support Systems
Lazy evaluation of symmetric Bayesian decision problems
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Unconstrained influence diagrams
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
From influence diagrams to junction trees
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Solving asymmetric decision problems with influence diagrams
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Formulating Asymmetric Decision Problems as Decision Circuits
Decision Analysis
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We describe a new graphical language for specifying asymmetric decision problems. The language is based on a filtered merge of several existing languages including sequential valuation networks, asymmetric influence diagrams, and unconstrained influence diagrams. Asymmetry is encoded using a structure resembling a clustered decision tree, whereas the representation of the uncertainty model is based on the (unconstrained) influence diagram framework. We illustrate the proposed language by modeling several highly asymmetric decision problems, and we describe an efficient solution procedure.