A Decidable Recursive Logic for Weighted Transition Systems

Bingtian Xue, Kim Guldstrand Larsen, Radu Iulian Mardare

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Abstract

In this paper we develop and study the Recursive Weighted Logic (RWL), a multi-modal logic that expresses qualitative and quantitative properties of labelled weighted transition systems (LWSs). LWSs are transition systems labelled with actions and real-valued quantities representing the costs of transitions with respect to various resources. RWL uses first-order variables to measure local costs. The main syntactic operators are similar to the ones of timed logics for real-time systems. In addition, our logic is endowed, with simultaneous recursive equations, which specify the weakest properties satisfied by the recursive variables. We prove that unlike in the case of the timed logics, the satisfiability problem for RWL is decidable. The proof uses a variant of the region construction technique used in literature with timed automata, which we adapt to the specific settings of RWL. This paper extends previous results that we have demonstrated for a similar but much more restrictive logic that can only use one variable for each type of resource to encode logical properties.
OriginalsprogEngelsk
TitelTheoretical Aspects of Computing – ICTAC 2014 : 11th International Colloquium, Bucharest, Romania, September 17-19, 2014. Proceedings
RedaktørerGabriel Ciobanu, Dominique Méry
Antal sider17
Vol/bind8687
ForlagSpringer Publishing Company
Publikationsdato2014
Sider460-476
ISBN (Trykt)978-3-319-10881-0
ISBN (Elektronisk)978-3-319-10882-7
DOI
StatusUdgivet - 2014
Begivenhed11th International Colloquium on Theoretical Aspects of Computing - Central University Library of Bucharest, Bucharest, Rumænien
Varighed: 17 sep. 201419 sep. 2014
Konferencens nummer: 11

Konference

Konference11th International Colloquium on Theoretical Aspects of Computing
Nummer11
LokationCentral University Library of Bucharest
Land/OmrådeRumænien
ByBucharest
Periode17/09/201419/09/2014
NavnLecture Notes in Computer Science
ISSN0302-9743

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