Oversubscription Planning: Complexity and Compilability

Authors

  • Meysam Aghighi Linköping University
  • Peter Jonsson Linköping University

DOI:

https://doi.org/10.1609/aaai.v28i1.9025

Keywords:

oversubscription planning, computational complexity, compilability

Abstract

Many real-world planning problems are oversubscription problems where all goals are not simultaneously achievable and the planner needs to find a feasible subset. We present complexity results for the so-called partial satisfaction and net benefit problems under various restrictions; this extends previous work by van den Briel et al. Our results reveal strong connections between these problems and with classical planning. We also present a method for efficiently compiling oversubscription problems into the ordinary plan existence problem; this can be viewed as a continuation of earlier work by Keyder & Geffner.

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Published

2014-06-21

How to Cite

Aghighi, M., & Jonsson, P. (2014). Oversubscription Planning: Complexity and Compilability. Proceedings of the AAAI Conference on Artificial Intelligence, 28(1). https://doi.org/10.1609/aaai.v28i1.9025