Complexity Results for Planning
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 274-278.
Abstract
I describe several computational complexity results for planning, some of which identify tractable planning problems. The model of planning, called "propositional planning," is simple-conditions within operators are literals with no variables allowed . The different planning problems are defined by different restrictions on the preconditions and postconditions of operators. The main results are: Propositional planning is PSPACE-complete, even if operators are restricted to two positive (nonnegated) preconditions and two postconditions, or if operators are restricted to one postcondition (with any number of preconditions). It is NP-complete if operators are restricted to positive postconditions, even if operators are restricted to one precondition and one positive postcondition. It is tractable in a few restricted cases, one of which is if each operator is restricted to positive preconditions and one postcondition. The blocks-world problem, slightly modified, is a subproblem of this restricted planning problem.
@inproceedings{ijcai1991p41,
title = {Complexity Results for Planning},
author = {Bylander, Tom},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {274--278},
year = {1991},
month = {8},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1991/41},
}
TY - CPAPER TI - Complexity Results for Planning AU - Bylander, Tom T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 274 EP - 278 UR - https://ijcai.org/proceedings/1991/41 ER -Copied
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