流动性加权关系模型

J. Laird
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引用次数: 1

摘要

我们研究具有移动名称的计算和并发系统的操作和指称语义,这些名称捕获了它们的计算属性。例如,固定网络的各种属性,如最短或最长路径、转移概率和安全数据流,对应于通过网络的路径权重的半环中的“和”:我们的目标是以类似的方式对具有动态拓扑的网络进行建模。除了丰富的计算形式,如λ演算,这些可以表示为具有完整半环$R$权值的独子演算中的项,因此约简将R中的权值与每个约简路径相关联。从微分网络中获得灵感,我们基于其微分和紧闭结构,在集合和R加权关系的范畴中为这种演算开发了一种表意语义,但给出了一种简单的、语法无关的表示,将项表示为R上的矩阵。我们表明,这对应于R中与其独立约简路径相关的值的总和。我们的语义是完全抽象的关于由路径和评价引起的观测等价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weighted Relational Models for Mobility
We investigate operational and denotational semantics for computational and concurrent systems with mobile names which capture their computational properties. For example, various properties of fixed networks, such as shortest or longest path, transition probabilities, and secure data flows, correspond to the ``sum'' in a semiring of the weights of paths through the network: we aim to model networks with a dynamic topology in a similar way. Alongside rich computational formalisms such as the lambda-calculus, these can be represented as terms in a calculus of solos with weights from a complete semiring $R$, so that reduction associates a weight in R to each reduction path. Taking inspiration from differential nets, we develop a denotational semantics for this calculus in the category of sets and R-weighted relations, based on its differential and compact-closed structure, but giving a simple, syntax-independent representation of terms as matrices over R. We show that this corresponds to the sum in R of the values associated to its independent reduction paths, and that our semantics is fully abstract with respect to the observational equivalence induced by sum-of-paths evaluation.
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