no code implementations • 31 Jul 2023 • Luca Geatti, Alessandro Gianola, Nicola Gigante, Sarah Winkler
We study Linear Temporal Logic Modulo Theories over Finite Traces (LTLfMT), a recently introduced extension of LTL over finite traces (LTLf) where propositions are replaced by first-order formulas and where first-order variables referring to different time points can be compared.
no code implementations • 23 Jul 2023 • 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.
no code implementations • 27 Apr 2023 • Nicola Gigante, Lucia {Gomez Alvarez}, Tim S. Lyon
Many complex scenarios require the coordination of agents possessing unique points of view and distinct semantic commitments.
no code implementations • 21 Sep 2022 • Renato Acampora, Luca Geatti, Nicola Gigante, Angelo Montanari, Valentino Picotti
In the timeline-based approach to planning, originally born in the space sector, the evolution over time of a set of state variables (the timelines) is governed by a set of temporal constraints.
no code implementations • 6 Sep 2022 • Alessandro Cimatti, Luca Geatti, Nicola Gigante, Angelo Montanari, Stefano Tonetta
Moreover, we prove that, when interpreted over finite words, SafetyLTL (resp.
no code implementations • 28 Apr 2022 • Luca Geatti, Alessandro Gianola, Nicola Gigante
This paper studies Linear Temporal Logic over Finite Traces (LTLf) where proposition letters are replaced with first-order formulas interpreted over arbitrary theories, in the spirit of Satisfiability Modulo Theories.
no code implementations • 16 Feb 2019 • Nicola Gigante
We show that winning strategies for such games can be found in doubly-exponential time.
no code implementations • 12 Jul 2018 • Nicola Gigante, Angelo Montanari, Marta Cialdea Mayer, Andrea Orlandini, Mark Reynolds
We define a general concept of timeline-based game and we show that the notion of winning strategy for these games is strictly more general than that of control strategy for dynamically controllable flexible plans.