Monodic fragments of probabilistic first-order temporal logic with bounded semantics

We extend (type-2) probabilistic first-order logic with temporal operators, interpreted over fixed-length initial segments of (discrete) time. Given a formula φ of the resulting logic and a natural number N, we ask: is φ satisfiable over a space of length <i>N </i>+ 1 sequences of states (first-order structures)? We show the problem to be decidable for monodic fragments of the logic whose first-order part has a decidable satisfiability problem and we also establish the problem's computational complexity when the first-order part is among some well-known decidable fragments of first-order logic.

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Publication Details

Journal
Theoretical Computer Science
Published
2025-05-15
DOI
https://doi.org/10.1016/j.tcs.2025.115319
Primary Topic
Logic, Reasoning, and Knowledge
Type
article
Field-Weighted Citation Impact
0.00

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article

Monodic fragments of probabilistic first-order temporal logic with bounded semantics

Clare Dixon, Georgios Kourtis, Michael Fisher
Theoretical Computer Science
Logic, Reasoning, and Knowledge
article

Monodic fragments of probabilistic first-order temporal logic with bounded semantics

Clare Dixon, Georgios Kourtis, Michael Fisher
article en

Abstract

We extend (type-2) probabilistic first-order logic with temporal operators, interpreted over fixed-length initial segments of (discrete) time. Given a formula φ of the resulting logic and a natural number N, we ask: is φ satisfiable over a space of length <i>N </i>+ 1 sequences of states (first-order structures)? We show the problem to be decidable for monodic fragments of the logic whose first-order part has a decidable satisfiability problem and we also establish the problem's computational complexity when the first-order part is among some well-known decidable fragments of first-order logic.

Theoretical Computer ScienceVol. 1046
UK Research and Innovation, Royal Academy of Engineering, Engineering and Physical Sciences Research Council
Reduced inequalities
Openalex Percentile: Top 95%
Logic, Reasoning, and Knowledge
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