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Codensity Games for Bisimilarity

Authors :
Yuichi Komorida
Shin-ya Katsumata
Nick Hu
Bartek Klin
Samuel Humeau
Clovis Eberhart
Ichiro Hasuo
Graduate University for Advanced Studies [Hayama] (SOKENDAI)
National Institute of Informatics (NII)
University of Oxford
École normale supérieure de Lyon (ENS de Lyon)
Japanese French Laboratory for Informatics (JFLI)
National Institute of Informatics (NII)-The University of Tokyo (UTokyo)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)
Source :
LICS, 2019 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS), New Generation Computing, New Generation Computing, 2022, 40 (2), pp.403-465. ⟨10.1007/s00354-022-00186-y⟩
Publication Year :
2019
Publisher :
IEEE, 2019.

Abstract

Bisimilarity as an equivalence notion of systems has been central to process theory. Due to the recent rise of interest in quantitative systems (probabilistic, weighted, hybrid, etc.), bisimilarity has been extended in various ways: notably, bisimulation metric between probabilistic systems. An important feature of bisimilarity is its game-theoretic characterization, where Spoiler and Duplicator play against each other; extension of bisimilarity games to quantitative settings has been actively pursued too. In this paper, we present a general framework that uniformly describes game characterizations of bisimilarity-like notions. Our framework is formalized categorically using fibrations and coalgebras. In particular, our characterization of bisimilarity in terms of fibrational predicate transformers allows us to derive codensity bisimilarity games: a general categorical game characterization of bisimilarity. Our framework covers known bisimilarity-like notions (such as bisimulation metric) as well as new ones (including what we call bisimulation topology).<br />Comment: 13 pages + 3 page appendix, to appear in Proceedings of the 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS 2019)

Details

ISBN :
978-1-72813-608-0
ISSN :
02883635
ISBNs :
9781728136080
Database :
OpenAIRE
Journal :
2019 34th Annual ACM/IEEE Symposium on Logic in Computer Science (LICS)
Accession number :
edsair.doi.dedup.....ac8db7ee5b6adfaa063f986bb20d9646
Full Text :
https://doi.org/10.1109/lics.2019.8785691