Generalizing Non-punctuality for Timed Temporal Logic with Freeze Quantifiers

Conference Paper (2021)
Author(s)

Shankara Narayanan Krishna (Indian Institute of Technology Bombay)

Khushraj Madnani (TU Delft - Team Manuel Mazo Jr)

Manuel Mazo (TU Delft - Team Manuel Mazo Jr)

Paritosh K. Pandya (Indian Institute of Technology Bombay)

Research Group
Team Manuel Mazo Jr
Copyright
© 2021 Shankara Narayanan Krishna, K.N. Madnani, M. Mazo, Paritosh K. Pandya
DOI related publication
https://doi.org/10.1007/978-3-030-90870-6_10
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Shankara Narayanan Krishna, K.N. Madnani, M. Mazo, Paritosh K. Pandya
Research Group
Team Manuel Mazo Jr
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.@en
Pages (from-to)
182-199
ISBN (print)
978-3-030-90869-0
Reuse Rights

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Abstract

Metric Temporal Logic (MTL) and Timed Propositional Temporal Logic (TPTL) are prominent real-time extensions of Linear Temporal Logic (LTL). In general, the satisfiability checking problem for these extensions is undecidable when both the future U and the past S modalities are used. In a classical result, the satisfiability checking for MITL[U,S], a non-punctual fragment of MTL[U,S], is shown to be decidable with EXPSPACE complete complexity. Given that this notion of non-punctuality does not recover decidability in the case of TPTL[U,S], we propose a generalization of non-punctuality called non-adjacency for TPTL[U,S], and focus on its 1-variable fragment, 1-TPTL[U,S]. While non-adjacent 1-TPTL[U,S] appears to be a very small fragment, it is strictly more expressive than MITL. As our main result, we show that the satisfiability checking problem for non-adjacent 1-TPTL[U,S] is decidable with EXPSPACE complete complexity.

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