Solving Non-deterministic Planning Problems with Pattern Database Heuristics

  • Pascal Bercher
  • Robert Mattmüller
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5803)

Abstract

Non-determinism arises naturally in many real-world applications of action planning. Strong plans for this type of problems can be found using AO* search guided by an appropriate heuristic function. Most domain-independent heuristics considered in this context so far are based on the idea of ignoring delete lists and do not properly take the non-determinism into account. Therefore, we investigate the applicability of pattern database (PDB) heuristics to non-deterministic planning. PDB heuristics have emerged as rather informative in a deterministic context. Our empirical results suggest that PDB heuristics can also perform reasonably well in non-deterministic planning. Additionally, we present a generalization of the pattern additivity criterion known from classical planning to the non-deterministic setting.

Keywords

Heuristic search non-deterministic planning PDB heuristics 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pascal Bercher
    • 1
  • Robert Mattmüller
    • 2
  1. 1.Institut für Künstliche IntelligenzUniversität UlmGermany
  2. 2.Institut für InformatikAlbert-Ludwigs-Universität FreiburgGermany

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