mlsanityData to 7 Oct 2026

Model Checking Strategies from Synthesis Over Finite Traces

arXiv 2305.08319 ↗First posted 15 May 2023cs.FL cs.AI cs.LOcited by 3

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Abstract (arXiv)

The innovations in reactive synthesis from em Linear Temporal Logics over finite traces (LTLf) will be amplified by the ability to verify the correctness of the strategies generated by LTLf synthesis tools. This motivates our work on em LTLf model checking. LTLf model checking, however, is not straightforward. The strategies generated by LTLf synthesis may be represented using em terminating transducers or em non-terminating transducers where executions are of finite-but-unbounded length or infinite length, respectively. For synthesis, there is no evidence that one type of transducer is better than the other since they both demonstrate the same complexity and similar algorithms. In this work, we show that for model checking, the two types of transducers are fundamentally different. Our central result is that LTLf model checking of non-terminating transducers is exponentially harder than that of terminating transducers. We show that the problems are EXPSPACE-complete and PSPACE-complete, respectively. Hence, considering the feasibility of verification, LTLf synthesis tools should synthesize terminating transducers. This is, to the best of our knowledge, the first evidence to use one transducer over the other in LTLf synthesis.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 8 of its 54 references that are in the map. First posted on arXiv 15 May 2023.

Builds on

8 of 54 references.

References · 8

  1. 2018Foundations for Restraining Bolts: Reinforcement Learning with LTLf/LDLf restraining specificationscited by 69
  2. 2017Symbolic LTLf Synthesiscited by 21
  3. 2022From Spot 2.0 to Spot 2.10: What's New?cited by 20
  4. 2019Hybrid Compositional Reasoning for Reactive Synthesis from Finite-Horizon Specificationscited by 16
  5. 2020LTLf Synthesis on Probabilistic Systemscited by 5
  6. 2023Forward LTLf Synthesis: DPLL At Workcited by 4
  7. 2019Synthesis of coordination programs from linear temporal logiccited by 2
  8. 2023The Temporal Logic Synthesis Format TLSF v1.2cited by 2

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3 papers.