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Operations Research, 1986
An influence diagram is a graphical structure for modeling uncertain variables and decisions and explicitly revealing probabilistic dependence and the flow of information. It is an intuitive framework in which to formulate problems as perceived by decision makers and to incorporate the knowledge of experts.
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An influence diagram is a graphical structure for modeling uncertain variables and decisions and explicitly revealing probabilistic dependence and the flow of information. It is an intuitive framework in which to formulate problems as perceived by decision makers and to incorporate the knowledge of experts.
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Supporting Negotiations over Influence Diagrams
Decision Analysis, 2009We deal with issues concerning negotiation support for group decisions over influence diagrams, when the group members disagree about utility and probability assessments. We base our discussion on a modification of the balanced increment solution, which guarantees a final negotiated Pareto optimal alternative.
Rios Aliaga, Jesus, Insua, D. Rios
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2003
This paper presents an architecture for exact evaluation of influence diagrams containing a mixture of continuous and discrete variables. The proposed architecture is the first architecture for efficient exact solution of linear-quadratic conditional Gaussian influence diagrams with an additively decomposing utility function.
Anders L. Madsen, Frank Jensen
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This paper presents an architecture for exact evaluation of influence diagrams containing a mixture of continuous and discrete variables. The proposed architecture is the first architecture for efficient exact solution of linear-quadratic conditional Gaussian influence diagrams with an additively decomposing utility function.
Anders L. Madsen, Frank Jensen
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Interactive dynamic influence diagrams
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems, 2007Partially Observable Markov Decision Processes (POMDPs) emerged as the primary framework for decision-theoretic planning in single agent settings. Solutions to POMDPs are optimal plans which are conditional on future observations. Dynamic Influence Diagrams (DIDs) are computational representations of POMDPs which compute solutions for finite time ...
Kyle Polich, Piotr Gmytrasiewicz
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Probabilistic Inference and Influence Diagrams
Operations Research, 1988An influence diagram is a network representation for probabilistic and decision analysis models. The nodes correspond to variables which can be constants, uncertain quantities, decisions, or objectives. The arcs reveal the probabilistic dependence of the uncertain quantities and the information available at the time of the decisions. The detailed data
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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].
R. Lagerström, P. Johnson, P. Närman
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