多重关系的决定论

IF 0.7 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS Journal of Logical and Algebraic Methods in Programming Pub Date : 2024-05-08 DOI:10.1016/j.jlamp.2024.100976
Hitoshi Furusawa , Walter Guttmann , Georg Struth
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引用次数: 0

摘要

二元多重关系可以模拟交替的非确定性,例如在游戏或与环境相互作用的非确定性演化系统中。这些系统可以在交替的两个层次上表现出部分或全部功能行为,因此非确定性行为可能只发生在一个层次上,也可能发生在两个层次上,或者根本不发生。我们用一种基于关系代数和幂寓言的多关系语言来研究内部和外部部分和全部功能多关系的类别。众所周知,一般多重关系并不构成一个范畴,但我们用多重关系语言证明,上述确定性多重关系类构成了与并发动态逻辑中的 Peleg 构成有关的范畴,有时还构成了量子范畴。其中一些类别与二元关系类别同构。我们还引入了确定性映射,用二元关系或确定性多重关系来近似多重关系。这些映射对于定义多关系上的模态算子非常有用。
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Determinism of multirelations

Binary multirelations allow modelling alternating nondeterminism, for instance, in games or nondeterministically evolving systems interacting with an environment. Such systems can show partial or total functional behaviour at both levels of alternation, so that nondeterministic behaviour may occur only at one level or both levels, or not at all. We study classes of inner and outer partial and total functional multirelations in a multirelational language based on relation algebra and power allegories. While it is known that general multirelations do not form a category, we show in the multirelational language that the classes of deterministic multirelations mentioned form categories with respect to Peleg composition from concurrent dynamic logic, and sometimes quantaloids. Some of these categories are isomorphic to the category of binary relations. We also introduce determinisation maps that approximate multirelations either by binary relations or by deterministic multirelations. Such maps are useful for defining modal operators on multirelations.

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来源期刊
Journal of Logical and Algebraic Methods in Programming
Journal of Logical and Algebraic Methods in Programming COMPUTER SCIENCE, THEORY & METHODS-LOGIC
CiteScore
2.60
自引率
22.20%
发文量
48
期刊介绍: The Journal of Logical and Algebraic Methods in Programming is an international journal whose aim is to publish high quality, original research papers, survey and review articles, tutorial expositions, and historical studies in the areas of logical and algebraic methods and techniques for guaranteeing correctness and performability of programs and in general of computing systems. All aspects will be covered, especially theory and foundations, implementation issues, and applications involving novel ideas.
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