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Modeling Spread, Interlace and Interchange of Information Processes with Variable Domains
Cognitive Systems Research ( IF 2.1 ) Pub Date : 2021-03-01 , DOI: 10.1016/j.cogsys.2020.10.016
Viacheslav Wolfengagen , Larisa Ismailova , Sergey Kosikov , Denis Babushkin

Abstract In this paper a semantic metalanguage is developed and designed to study the occurrence, spread and safe interaction of semantic processes in information modeling systems, including cognitive interference. An approach to construe a semantic network is proposed and based on a computational model in which both nodes and arcs are information processes. Concepts are represented by intensional objects within the framework of theories without types, and they, in turn, are considered as special counterparts of typed theories. Similar mixing was used in model studies for lambda calculus. To a contrast with them, in this paper, information processes correspond to parameterized metadata objects, which are variable domain constructs. Transformations of variable domains correspond to the spread of the process. Directional transformation provides the generation of metadata targets in the form of parameterized concepts. This simulates the development of the process, which corresponds to the spread of cognitive interference and allows the interpretation of a hidden time factor. The emerging model is purely process based and provides such a conceptual framework. The possibility of coding this framework with a system of interdependent lambda terms is reflected.

中文翻译:

建模具有可变域的信息过程的传播、交错和交换

摘要 本文开发并设计了一种语义元语言,用于研究信息建模系统中语义过程的发生、传播和安全交互,包括认知干扰。提出了一种解释语义网络的方法,该方法基于节点和弧都是信息过程的计算模型。概念在没有类型的理论框架内由内涵对象表示,反过来,它们被认为是类型理论的特殊对应物。在 lambda 演算的模型研究中使用了类似的混合。与它们形成对比的是,在本文中,信息过程对应于参数化的元数据对象,它们是可变域结构。可变域的转换对应于过程的扩展。定向转换以参数化概念的形式提供元数据目标的生成。这模拟了过程的发展,这对应于认知干扰的传播并允许解释隐藏的时间因素。新兴模型纯粹是基于过程的,并提供了这样一个概念框架。反映了使用相互依赖的 lambda 项系统对该框架进行编码的可能性。
更新日期:2021-03-01
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