Decidability and complexity of action-based temporal planning over dense time
作者:
摘要
In this paper, we study the computational complexity of action-based temporal planning interpreted over dense time. When time is assumed to be discrete, the problem is known to be EXPSPACE-complete. However, the official PDDL 2.1 semantics and many implementations interpret time as a dense domain. This work provides several results about the complexity of the problem, focusing on some particularly interesting cases: whether a minimum amount ε of separation between mutually exclusive events is given, in contrast to the separation being simply required to be non-zero, and whether or not actions are allowed to overlap already running instances of themselves. We prove the problem to be PSPACE-complete when self-overlap is forbidden, whereas, when it is allowed, it becomes EXPSPACE-complete with ε-separation and even undecidable with non-zero separation. These results clarify the computational consequences of different choices in the definition at the core of the PDDL 2.1 semantics, which have been vague until now.1
论文关键词:Temporal planning,Computational complexity,Timed automata,Tiling problems
论文评审过程:Received 10 December 2020, Revised 23 February 2022, Accepted 1 March 2022, Available online 4 March 2022, Version of Record 16 March 2022.
论文官网地址:https://doi.org/10.1016/j.artint.2022.103686