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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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An influence diagram approach to automating lead time estimation in Agile Kanban project management
Expert Systems With Applications, 2022Eric Weflen +2 more
exaly
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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Learning Influence Diagram Utility Function by Observing Behavior
Lecture Notes in Electrical Engineering, 2020Bai Lei, Lei Bai
exaly