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Planning with Domain Rules Based on State-Independent Activation Sets

  • Zhi-hua Jiang
  • Yun-fei Jiang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4303)

Abstract

In AI planning community, planning domains with derived predicates are very challenging to many planning system. Derived predicate is a new application of domain rules and domain knowledge acquisition. In this paper, we propose an approach to planning with derived predicates: defining activation sets of a derived predicate which are unrelated to any specific state and computing them in the preprocess phase through the instantiation rule-graph; replacing a derived predicate with one of its activation sets in relax-plan to extract action sequences. And we also implement the proposed approach in a new planner, called FF-DP, which shows good performance in our experiments.

Keywords

Deterministic planning Domain rules activation sets 

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Zhi-hua Jiang
    • 1
  • Yun-fei Jiang
    • 2
  1. 1.Dep. of Computer ScienceJi Nan UniversityGuang zhouChina
  2. 2.Software Research InstitutionZhong Shan UniversityGuang zhouChina

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