A comparison of two approaches for solving unconstrained influence diagrams

DOI10.1016/j.ijar.2008.08.001zbMath1191.68669OpenAlexW2122619124MaRDI QIDQ962843

Thomas D. Nielsen, Ole Pedersen, Kristian S. Ahlmann-Ohlsen, Marta Vomlelová, Finn Verner Jensen

Publication date: 7 April 2010

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2008.08.001

zbMATH Keywords

variable eliminationsolution algorithmsany-space inferenceunconstrained influence diagrams

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (5)

Cost-Sensitive Classification with Unconstrained Influence Diagrams ⋮ Decision analysis networks ⋮ Probabilistic decision graphs for optimization under uncertainty ⋮ Probabilistic decision graphs for optimization under uncertainty ⋮ Variable elimination for influence diagrams with super value nodes

Cites Work

• Unnamed Item
• A comparison of graphical techniques for decision analysis
• A forward-backward Monte Carlo method for solving influence diagrams
• Representing and Solving Decision Problems with Limited Information
• Bayesian Networks and Decision Graphs
• Valuation-Based Systems for Bayesian Decision Analysis
• AN EXTENSION OF LAZY EVALUATION FOR INFLUENCE DIAGRAMS AVOIDING REDUNDANT VARIABLES IN THE POTENTIALS
• Recursive conditioning

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