Graded Monads and Behavioural Equivalence Games

Harsh Beohar, Chase Ford, B. König, Stefan Milius, Lutz Schröder
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引用次数: 5

Abstract

The framework of graded semantics uses graded monads to capture behavioural equivalences of varying granularity, for example as found in the linear-time / branching-time spectrum, over general system types. We describe a generic Spoiler-Duplicator game for graded semantics that is extracted from the given graded monad, and may be seen as playing out an equational proof; instances include standard pebble games for simulation and bisimulation as well as games for trace-like equivalences and coalgebraic behavioural equivalence. Considerations on an infinite variant of such games lead to a novel notion of infinite-depth graded semantics. Under reasonable restrictions, the infinite-depth graded semantics associated to a given graded equivalence can be characterized in terms of a determinization construction for coalgebras under the equivalence at hand.
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分级单子和行为等价游戏
分级语义框架使用分级单子来捕获不同粒度的行为等价,例如在一般系统类型的线性时间/分支时间谱中发现的行为等价。我们描述了一个从给定的分级单子中提取的分级语义的通用破坏者-复制者博弈,并且可以看作是一个等式证明;实例包括用于模拟和双模拟的标准卵石游戏,以及用于跟踪等效和共代数行为等效的游戏。对这种博弈的无限变体的考虑导致了无限深度分级语义的新概念。在合理的限制条件下,与给定的分级等价相关的无限深度分级语义可以用等价下的余代数的确定构造来表征。
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