On the Expressiveness of Spatial Constraint Systems

Michell Guzmán, F. Valencia
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引用次数: 3

Abstract

Epistemic, mobile and spatial behaviour are common place in today’s distributed systems. The intrinsic epistemic nature of these systems arises from the interactions of the elements taking part of them. Most people are familiar with digital systems where users share their beliefs, opinions and even intentional lies (hoaxes). Models of those systems must take into account the interactions with others as well as the distributed quality these systems present. Spatial and mobile behaviour are exhibited by applications and data moving across (possibly nested) spaces defined by, for example, friend circles, groups, and shared folders. We therefore believe that a solid understanding of the notion of space and spatial mobility as well as the flow of epistemic information is relevant in many models of today’s distributed systems.Constraint systems (cs’s) provide the basic domains and opera- tions for the semantic foundations of the family of formal declarative models from concurrency theory known as concurrent constraint programming (ccp). Spatial constraint systems (scs’s) are algebraic structures that extend cs’s for reasoning about basic spatial and epistemic behaviour such as belief and extrusion. Both spatial and epistemic assertions can be viewed as specific modalities. Other modalities can be used for assertions about time, knowledge and even the analysis of groups among other concepts used in the specification and verification of concurrent systems.In this thesis we study the expressiveness of spatial constraint systems in the broader perspective of modal and epistemic behaviour. We shall show that spatial constraint systems are sufficiently robust to capture inverse modalities and to derive new results for modal logics. We shall show that we can use scs’s to express a fundamental epistemic behaviour such as knowledge. Finally we shall give an algebraic characterization of the notion of distributed information by means of constructors over scs’s.
论空间约束系统的表达性
认知、移动和空间行为在今天的分布式系统中很常见。这些系统的内在认知本质源于组成它们的元素之间的相互作用。大多数人都熟悉数字系统,用户分享他们的信仰、观点,甚至故意撒谎(恶作剧)。这些系统的模型必须考虑到与其他系统的相互作用以及这些系统所呈现的分布式质量。空间和移动行为是通过应用程序和数据跨(可能嵌套的)空间移动来表现的,这些空间由朋友圈、组和共享文件夹等定义。因此,我们认为,对空间和空间流动性概念以及认知信息流的深刻理解与当今分布式系统的许多模型相关。约束系统(cs)为并发理论中称为并发约束编程(ccp)的形式化声明模型家族的语义基础提供了基本域和操作。空间约束系统(scs)是扩展cs的代数结构,用于推理基本的空间和认知行为,如信念和挤压。空间断言和认识论断言都可以看作是具体的模态。其他模式可用于时间、知识的断言,甚至分析并发系统规范和验证中使用的其他概念中的组。本文从模态和认知行为的角度研究空间约束系统的表达性。我们将证明空间约束系统具有足够的鲁棒性,可以捕获逆模态并推导模态逻辑的新结果。我们将证明,我们可以使用scs来表达一种基本的认知行为,如知识。最后,我们将利用scs上的构造函数给出分布式信息概念的代数表征。
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