2017 32nd Annual ACM/IEEE Symposium on Logic in Computer Science (LICS) 2017
DOI: 10.1109/lics.2017.8005151
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Categorical liveness checking by corecursive algebras

Abstract: Abstract-Final coalgebras as "categorical greatest fixed points" play a central role in the theory of coalgebras. Somewhat analogously, most proof methods studied therein have focused on greatest fixed-point properties like safety and bisimilarity. Here we make a step towards categorical proof methods for least fixed-point properties over dynamical systems modeled as coalgebras. Concretely, we seek a categorical axiomatization of well-known proof methods for liveness, namely ranking functions (in nondeterminis… Show more

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Cited by 6 publications
(15 citation statements)
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“…Ranking supermartingales are amenable to template-based synthesis [10,11,13], making them appealing from the automatic analysis point of view. Recently, methods for quantitatively under-approximating reachability probabilities are also proposed in References [15,41].…”
Section: Introductionmentioning
confidence: 99%
“…Ranking supermartingales are amenable to template-based synthesis [10,11,13], making them appealing from the automatic analysis point of view. Recently, methods for quantitatively under-approximating reachability probabilities are also proposed in References [15,41].…”
Section: Introductionmentioning
confidence: 99%
“…The notion of γ-SclSubM is first introduced in [33], as an instance of a categorical abstraction of ranking functions. The current paper's contribution lies in the following: i) the theoretical developments about γ-SclSubM in concrete (non-categorical) terms; ii) introduction of nondeterminism (the setting of [33] is purely probabilistic); and iii) template-based synthesis of γ-SclSubM. Definition 6.1 (γ-SclSubM for pCFG, [33]).…”
Section: (Completeness) There Exists a U-arnksupm η That Gives The Opmentioning
confidence: 99%
“…[24,8] γ-scaled submartingale (γ-SclSubM, §6) P(reach C) ≥ ? this paper for PP, following categorical observations in [33] for MC repulsing supermartingale for over-approximation ε-decreasing supermartingale (ε-RepSupM, §3) P(reach C) ≤ ? P(reach C) < ?…”
mentioning
confidence: 94%
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