Heuristics for Planning with SAT and Expressive Action Definitions

Authors

  • Jussi Rintanen The Australian National University

DOI:

https://doi.org/10.1609/icaps.v21i1.13478

Abstract

We present the first effective SAT heuristics for planning with expressive planning languages such as ADL. Recently, SAT heuristics for STRIPS planning have been introduced. In this work we show that the basic ideas in the heuristic can be generalized to actions with conditional effects but without disjunction, and that disjunction requires a more fundamental analysis of the STRIPS heuristic, which, despite complications, will still lead to a natural heuristic which can be implemented efficiently. The experimental analysis shows substantial and systematic improvements over the state of the art in planning with SAT with ADL.

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Published

2011-03-22

How to Cite

Rintanen, J. (2011). Heuristics for Planning with SAT and Expressive Action Definitions. Proceedings of the International Conference on Automated Planning and Scheduling, 21(1), 210-217. https://doi.org/10.1609/icaps.v21i1.13478