Complexity Results in Epistemic Planning

Abstract

Epistemic planning is a very expressive framework that extends automated planning by the incorporation of dynamic epistemic logic (DEL). We provide complexity results on the plan existence problem for multi-agent planning tasks, focusing on purely epistemic actions with propositional preconditions. We show that moving from epistemic preconditions to propositional preconditions makes it decidable, more precisely in EXPSPACE. The plan existence problem is PSPACE-complete when the underlying graphs are trees and NP-complete when they are chains (including singletons). We also show PSPACE-hardness of the plan verification problem, which strengthens previous results on the complexity of DEL model checking.

Cite

Text

Bolander et al. "Complexity Results in Epistemic Planning." International Joint Conference on Artificial Intelligence, 2015.

Markdown

[Bolander et al. "Complexity Results in Epistemic Planning." International Joint Conference on Artificial Intelligence, 2015.](https://mlanthology.org/ijcai/2015/bolander2015ijcai-complexity/)

BibTeX

@inproceedings{bolander2015ijcai-complexity,
  title     = {{Complexity Results in Epistemic Planning}},
  author    = {Bolander, Thomas and Jensen, Martin Holm and Schwarzentruber, François},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2015},
  pages     = {2791-2797},
  url       = {https://mlanthology.org/ijcai/2015/bolander2015ijcai-complexity/}
}