On Verifying Linear Execution Strategies in Planning Against Nature

Lukáš Chrpa, Erez Karpas

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

While planning and acting in environments in which nature can trigger non-deterministic events, the agent has to consider that the state of the environment might change without its consent. Practically, it means that the agent has to make sure that it eventually achieves its goal (if possible) despite the acts of nature. In this paper, we first formalize the semantics of such problems in Alternating-time Temporal Logic, which allows us to prove some theoretical properties of different types of solutions. Then, we focus on linear execution strategies, which resemble classical plans in that they follow a fixed sequence of actions. We show that any problem that can be solved by a linear execution strategy can be solved by a particular form of linear execution strategy which assigns wait-for preconditions to each action in the plan that specifies when to execute that action. Then, we propose a sound algorithm that verifies a sequence of actions and assigns wait-for preconditions to them by leveraging abstraction.

Original languageEnglish
Title of host publicationProceedings of the 34th International Conference on Automated Planning and Scheduling, ICAPS 2024
EditorsSara Bernardini, Christian Muise
Pages86-94
Number of pages9
ISBN (Electronic)9781577358893
DOIs
StatePublished - 30 May 2024
Event34th International Conference on Automated Planning and Scheduling, ICAPS 2024 - Banaff, Canada
Duration: 1 Jun 20246 Jun 2024

Publication series

NameProceedings International Conference on Automated Planning and Scheduling, ICAPS
Volume34

Conference

Conference34th International Conference on Automated Planning and Scheduling, ICAPS 2024
Country/TerritoryCanada
CityBanaff
Period1/06/246/06/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management

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