Renato Acampora ; Luca Geatti ; Nicola Gigante ; Angelo Montanari ; Valentino Picotti - Controller Synthesis for Timeline-based Games

lmcs:11639 - Logical Methods in Computer Science, August 27, 2024, Volume 20, Issue 3 - https://doi.org/10.46298/lmcs-20(3:17)2024
Controller Synthesis for Timeline-based GamesArticle

Authors: Renato Acampora ; Luca Geatti ; Nicola Gigante ; Angelo Montanari ; Valentino Picotti

In the timeline-based approach to planning, the evolution over time of a set of state variables (the timelines) is governed by a set of temporal constraints. Traditional timeline-based planning systems excel at the integration of planning with execution by handling temporal uncertainty. In order to handle general nondeterminism as well, the concept of timeline-based games has been recently introduced. It has been proved that finding whether a winning strategy exists for such games is 2EXPTIME-complete. However, a concrete approach to synthesize controllers implementing such strategies is missing. This paper fills this gap, by providing an effective and computationally optimal approach to controller synthesis for timeline-based games.

Comment: arXiv admin note: text overlap with arXiv:2209.10319


Volume: Volume 20, Issue 3
Secondary volumes: Selected Papers of the 13th International Symposium on Games, Automata, Logics, and Formal Verification (GandALF 2022)
Published on: August 27, 2024
Accepted on: June 27, 2024
Submitted on: July 25, 2023
Keywords: Computer Science - Artificial Intelligence
Funding:
    Source : OpenAIRE Graph
  • Bringing AI Planning to the European AI On-Demand Platform; Funder: European Commission; Code: 101016442

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