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引用次数: 53

摘要

双仿真进一步改进了双相似性的共归纳证明方法,为检验不同类型系统的性质提供了有效的证明技术。我们在Hermida和Jacobs的开创性工作的基础上,证明了这些技术在纤维环境中的合理性。这使我们不仅可以系统地获得双相似性的最新技术,还可以系统地获得一类以协代数建模的协归纳谓词的最新技术。通过调整我们框架的参数,我们获得了一元谓词和标称自动机的新技术,相似性的GSOS规则格式的变体,以及弱双相似性的新分类处理。
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Coinduction up-to in a fibrational setting
Bisimulation up-to enhances the coinductive proof method for bisimilarity, providing efficient proof techniques for checking properties of different kinds of systems. We prove the soundness of such techniques in a fibrational setting, building on the seminal work of Hermida and Jacobs. This allows us to systematically obtain up-to techniques not only for bisimilarity but for a large class of coinductive predicates modelled as coalgebras. By tuning the parameters of our framework, we obtain novel techniques for unary predicates and nominal automata, a variant of the GSOS rule format for similarity, and a new categorical treatment of weak bisimilarity.
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