mlsanityData to 14 Oct 2026

On Syntactical Simplification of Temporal Operators in Negation-free MTL

arXiv 2509.10146 ↗First posted 12 Sep 2025cs.LOcited by 0

On the map: LLM reasoning → Knowledge- and tool-augmented reasoning

Abstract (arXiv)

Temporal reasoning in dynamic, data-intensive environments increasingly demands expressive yet tractable logical frameworks. Traditional approaches often rely on negation to express absence or contradiction. In such contexts, Negation-as-Failure is commonly used to infer negative information from the lack of positive evidence. However, open and distributed systems such as IoT networks or the Semantic Web Negation-as-Failure semantics become unreliable due to incomplete and asynchronous data. This has led to a growing interest in negation-free fragments of temporal rule-based systems, which preserve monotonicity and enable scalable reasoning. This paper investigates the expressive power of negation-free MTL, a temporal logic framework designed for rule-based reasoning over time. We show that the "always" operators of MTL, often treated as syntactic sugar for combinations of other temporal constructs, can be eliminated using "once", "since" and "until" operators. Remarkably, even the "once" operators can be removed, yielding a fragment based solely on "until" and "since". These results challenge the assumption that negation is necessary for expressing universal temporal constraints, and reveal a robust fragment capable of capturing both existential and invariant temporal patterns. Furthermore, the results induce a reduction in the syntax of MTL, which in turn can provide benefits for both theoretical study as well as implementation efforts.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Knowledge- and tool-augmented reasoning, one of 17 directions in LLM reasoning. First posted on arXiv 12 Sep 2025.

Builds on

No reference list yet.

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2025Analysing Temporal Reasoning in Description Logics Using Formal Grammars
  2. 2025Towards Constraint Temporal Answer Set Programming
  3. 2025T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent
  4. 2024LTLBench: Towards Benchmarks for Evaluating Temporal Reasoning in Large Language Models
  5. 2026Applications of Intuitionistic Temporal Logic to Temporal Answer Set Programming
  6. 2022On the Expressive Power of the Normal Form for Branching-Time Temporal Logics ↗
  7. 2025Lattice Annotated Temporal (LAT) Logic for Non-Markovian Reasoning
  8. 2024Computational Complexity of Standpoint LTL