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

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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (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.

Original languageEnglish
Title of host publicationTwelfth Scandinavian Conference on Artificial Intelligence
EditorsManfred Jaeger, Thomas Dyhre Nielsen, Paolo Viappiani
Number of pages10
Volume257
PublisherIOS Press
Publication date1 Dec 2013
Pages65-74
ISBN (Print)978-1-61499-329-2
ISBN (Electronic)978-1-61499-330-8
DOIs
Publication statusPublished - 1 Dec 2013
SeriesFrontiers in Artificial Intelligence and Applications
ISSN0922-6389

Keywords

  • Binary trees
  • Elimination ordering
  • Heuristics
  • Influence Diagrams
  • Variable elimination

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