A complete parameterized complexity analysis of bounded planning

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The propositional planning problem is a notoriously difficult computational problem, which remains hard even under strong syntactical and structural restrictions. Given its difficulty it becomes natural to study planning in the context of parameterized complexity. In this paper we continue the work initiated by Downey, Fellows and Stege on the parameterized complexity of planning with respect to the parameter “length of the solution plan.” We provide a complete classification of the parameterized complexity of the planning problem under two of the most prominent syntactical restrictions, i.e., the so called PUBS restrictions introduced by Bäckström and Nebel and restrictions on the number of preconditions and effects as introduced by Bylander. We also determine which of the considered fixed-parameter tractable problems admit a polynomial kernel and which do not.

论文关键词:Complexity of automated planning,Parameterized complexity,Kernelization

论文评审过程:Received 24 October 2013, Revised 25 October 2014, Accepted 18 March 2015, Available online 21 April 2015, Version of Record 10 June 2015.

论文官网地址:https://doi.org/10.1016/j.jcss.2015.04.002