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Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces
Conference proceeding   Open access   Peer reviewed

Verification and Monitoring for First-Order LTL with Persistence-Preserving Quantification over Finite and Infinite Traces

Diego Calvanese, Giuseppe De Giacomo, Marco Montali and Fabio Patrizi
Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI 2022), pp.2553-2560
International Joint Conference on Artificial Intelligence (Wien, 23/07/2022–29/09/2022)
2022
Handle:
https://hdl.handle.net/10863/45687

Abstract

Knowledge representation and reasoning Reasoning about actions Multidisciplinary Topics and Applications Validation and Verification
We address the problem of model checking first-order dynamic systems where new objects can be injected in the active domain during execution. Notable examples are systems induced by a first-order action theory expressed, e.g., in the situation calculus. Recent results show that, under state-boundedness, such systems, in spite of having a first-order representation of the state, admit decidable model checking for full first-order mu-calculus. However, interestingly, model checking remains undecidable in the case of first-order LTL (LTL-FO). In this paper, we show that in LTL-FOp, the fragment of LTL-FO where quantification ranges only over objects that persist along traces, model checking state-bounded systems becomes decidable over infinite and finite traces. We then employ this result to show how to handle monitoring of LTL-FOp properties against a trace stemming from an unknown state-bounded dynamic system, simultaneously considering the finite trace up to the current point, and all its possibly infinite future continuations.
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https://www.ijcai.org/proceedings/2022/354View

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