Heuristics for determining the elimination ordering in the influence diagram evaluation with binary trees

Rafael Cabañas, Andrés Cano, Manuel Gómez-Olmedo, Anders L. Madsen

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2 Citationer (Scopus)

Abstract

Finding an optimal elimination ordering is a NP-hard problem of crucial importance for the efficiency of the Influence Diagrams evaluation. Some of the traditional methods for determining the elimination ordering use heuristics that consider that potentials are represented as tables. However, if potentials are represented using binary trees traditional methods may not offer the best results. In the present paper, two new heuristics that consider that potentials are represented as binary trees are proposed. As a result, the storage requirements for evaluating an ID with binary trees is reduced.

OriginalsprogEngelsk
TitelTwelfth Scandinavian Conference on Artificial Intelligence
RedaktørerManfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
Antal sider10
Vol/bind257
ForlagIOS Press
Publikationsdato1 dec. 2013
Sider65-74
ISBN (Trykt)978-1-61499-329-2
ISBN (Elektronisk)978-1-61499-330-8
DOI
StatusUdgivet - 1 dec. 2013
NavnFrontiers in Artificial Intelligence and Applications
ISSN0922-6389

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