Efficient non-myopic value-of-information computation for influence diagrams

DOI10.1016/j.ijar.2008.04.003zbMath1191.68688OpenAlexW2152288028MaRDI QIDQ962648

Wenhui Liao, Qiang Ji

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.2008.04.003

zbMATH Keywords

decision makinginfluence diagramscentral-limit theoremstress modelingvalue-of-information

Mathematics Subject Classification ID

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

Related Items (2)

Probabilistic decision graphs for optimization under uncertainty ⋮ Probabilistic decision graphs for optimization under uncertainty

Cites Work

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• Evidence Propagation and Value of Evidence on Influence Diagrams
• MONTE CARLO METHODS FOR SOLVING MULTIVARIABLE PROBLEMS
• Improved Algorithms For Linear Inequalities with Two Variables Per Inequality

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