TY - GEN
T1 - On Verifying Linear Execution Strategies in Planning Against Nature
AU - Chrpa, Lukáš
AU - Karpas, Erez
N1 - Publisher Copyright: Copyright © 2024, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2024/5/30
Y1 - 2024/5/30
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85195937871&partnerID=8YFLogxK
U2 - 10.1609/icaps.v34i1.31464
DO - 10.1609/icaps.v34i1.31464
M3 - منشور من مؤتمر
T3 - Proceedings International Conference on Automated Planning and Scheduling, ICAPS
SP - 86
EP - 94
BT - Proceedings of the 34th International Conference on Automated Planning and Scheduling, ICAPS 2024
A2 - Bernardini, Sara
A2 - Muise, Christian
T2 - 34th International Conference on Automated Planning and Scheduling, ICAPS 2024
Y2 - 1 June 2024 through 6 June 2024
ER -