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Multiset Bisimulations as a Common Framework for Ordinary and Probabilistic Bisimulations

机译:多集双仿真作为普通和概率双仿真的通用框架

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摘要

Our concrete objective is to present both ordinary bisimulations and probabilistic bisimulations in a common coalgebraic framework based on multiset bisimulations. For that we show how to relate the underlying powerset and probabilistic distributions functors with the multiset functor by means of adequate natural transformations. This leads us to the general topic that we investigate in the paper: a natural transformation from a functor F to another G transforms F-bisimulations into G-bisimulations but, in general, it is not possible to express G-bisimulations in terms of F-bisimulations. However, they can be characterized by considering Hughes and Jacobs’ notion of simulation, taking as the order on the functor F the equivalence induced by the epi-mono decomposition of the natural transformation relating F and G. We also consider the case of alternating probabilistic systems where non-deterministic and probabilistic choices are mixed, although only in a partial way, and extend all these results to categorical simulations.
机译:我们的具体目标是在基于多集双仿真的普通煤代数框架中呈现普通双仿真和概率双仿真。为此,我们展示了如何通过适当的自然变换将基本幂集和概率分布函子与多集函子相关联。这将我们引向本文研究的一般主题:从函子F到另一个G的自然转换将F-双仿真转换为G-双仿真,但总的来说,不可能用F来表示G-双仿真。 -双模拟。但是,可以通过考虑休斯和雅各布斯的模拟概念来表征它们,并以函子F的阶为基础,将与F和G有关的自然变换的Epi-mono分解诱发的等价性作为函子。我们还考虑了交替概率不确定性和概率选择混合在一起的系统(尽管只是部分实现),并将所有这些结果扩展到分类模拟。

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