Abstract

The concept of a regular memory area for an intelligent system (IS) is considered. The formalized description of the memory of a separate IS component is based on an infinite saturated binary tree. Knowledge is stored in special memory subareas in the form of semantic hierarchies. This knowledge constitutes the memory content, represented by its semantic structure. This structure integrates knowledge generated and transformed by morphisms and evolutions of knowledge, which, in turn, are used to implement the IS goals. The system of knowledge morphisms and knowledge evolution is used for IS modeling. This system allows one to describe the areas of initial data and values for these morphisms and evolution using regular expressions. The family of these sets generalizes the system of classes of morphism domains. These classes are developed for the knowledge formalisms and knowledge processing flowcharts used. The application of regular expressions to describe memory structures of IS components makes it possible to construct high-level mathematical models for big and complex intelligent systems. These models allow one to develop distributed memory control schemes for knowledge processing flows and processes in intelligent systems.

中文翻译：

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智能系统的常规内存结构和操作域

摘要

考虑智能系统（IS）的常规存储区域的概念。单独 IS 组件的内存的形式化描述基于无限饱和二叉树。知识以语义层次结构的形式存储在特殊的记忆子区域中。这些知识构成了记忆内容，由其语义结构表示。这种结构集成了由态射和知识演化生成和转换的知识，进而用于实现 IS 目标。知识态射和知识演化系统用于信息系统建模。该系统允许人们使用正则表达式来描述这些态射和演化的初始数据和值的区域。这些集合的族概括了态射域的类系统。这些类是针对所使用的知识形式体系和知识处理流程图而开发的。应用正则表达式来描述IS组件的内存结构使得为大型复杂智能系统构建高级数学模型成为可能。这些模型允许人们为智能系统中的知识处理流程和过程开发分布式内存控制方案。