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Visualisation Approaches in Qualitative Metasynthesis for Health Research. [PDF]
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Copper-Mediated Leaching of LiNi<sub>0.65</sub>Co<sub>0.25</sub>Mn<sub>0.10</sub>O<sub>2</sub> in H<sub>3</sub>PO<sub>4</sub>: Thermodynamics, Structural Evolution, and Redox Mechanism. [PDF]
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Influence Diagrams have been recognized as a suitable formalism for building probabilistic expert systems. Nevertheless, the most part of applications consists in stand-alone systems, concerning a very limited domain. On the other hand, Artificial Intelligence research has outlined Blackboard Architectures as the basis for building expert systems in ...
Riccardo Bellazzi, Silvana Quaglini
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The Influence of Influence Diagrams in Medicine
Decision Analysis, 2005Although influence diagrams have used medical examples almost from their inception, that graphical representation of decision problems has disseminated surprisingly slowly in the medical literature and among clinicians performing decision analyses. Clinicians appear to prefer decision trees as their primary modeling metaphor. This perspective examines
Stephen G. Pauker, John B. Wong
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The Influence of Influence Diagrams on Artificial Intelligence
Decision Analysis, 2005Howard and Matheson’s article “Influence Diagrams” has had a substantial impact on research in artificial intelligence (AI). In this perspective, I briefly discuss the importance of influence diagrams as a model for decision making under uncertainty in the AI research community; but I also identify some of the less direct, but no less important ...
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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.
Jesus Rios, David Ríos Insua
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Influence Diagram Retrospective
Decision Analysis, 2005Since the invention of Influence diagrams in the mid-1970s, they have become a ubiquitous tool for representing uncertain situations. This single diagram replaced awkward manipulations of decision trees and nature’s trees with a single representation that displays both the sequential and informational structure of decisions.
Ronald A. Howard, James E. Matheson
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