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On SPI for Evaluating Influence Diagrams
2014An Influence Diagram is a probabilistic graphical model used to represent and solve decision problems under uncertainty. Its evaluation requires to perform a series of combinations and marginalizations with the potentials attached to the Influence Diagram.
Rafael Cabañas 0001 +3 more
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Extended Influence Diagram Generation
2007One step towards achieving high interoperability is to get an understanding of the current degree of interoperability, which calls for interoperability analyses. Extended influence diagrams have been proposed as an approach for conducting such interoperability analyses [1].
Robert Lagerström +2 more
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An ordered examination of influence diagrams
Networks, 1990AbstractInfluence diagrams are a directed network representation for decision making under uncertainty. The nodes in the diagram represent uncertain and decision variables, and the arcs indicate probabilistic dependence and observability. This paper examines the graphical orderings underlying the influence diagram and the primitive interchange ...
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Probabilistic Planning With Influence Diagrams
Proceedings of the AAAI Conference on Artificial Intelligence, 2018Graphical models provide a powerful framework for reasoning under uncertainty, and an influence diagram (ID) is a graphical model of a sequential decision problem that maximizes the total expected utility of a non-forgetting agent. Relaxing the regular modeling assumptions, an ID can be flexibly extended to general decision scenarios ...
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Influence Diagrams: A Practitioner's Perspective
Decision Analysis, 2005I have found influence diagrams to be indispensable in building models with clients, keeping track of what probability distributions are needed, explaining the results of calculations to clients, explaining the analysis process to clients, and teaching decision analysis to undergraduate and graduate students.
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Management Science, 1989
An influence diagram is a network representation of probabilistic inference and decision analysis models. The nodes correspond to variables that can be either constants, uncertain quantities, decisions, or objectives. The arcs reveal probabilistic dependence of the uncertain quantities and information available at the time of the decisions.
Ross D. Shachter, C. Robert Kenley
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An influence diagram is a network representation of probabilistic inference and decision analysis models. The nodes correspond to variables that can be either constants, uncertain quantities, decisions, or objectives. The arcs reveal probabilistic dependence of the uncertain quantities and information available at the time of the decisions.
Ross D. Shachter, C. Robert Kenley
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Algorithms for Influence Diagrams
2001An influence diagram has three types of nodes, chance nodes, decision nodes, and utility nodes. The set of chance nodes is denoted U C , the set of decision nodes is denoted U D , and the set of utility nodes is denoted U V . The universe is U = U C ∪ U D . We also refer to the members of U as the variables of the influence diagram.
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A review of representation issues and modeling challenges with influence diagrams
Omega, 2011Concha Bielza, Prakash P Shenoy
exaly