{"title":"Regular Memory Structures and Operation Domains of Intelligent Systems","authors":"K. I. Kostenko","doi":"10.1134/s036176882308011x","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>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.</p>","PeriodicalId":54555,"journal":{"name":"Programming and Computer Software","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Programming and Computer Software","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1134/s036176882308011x","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
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.
摘要 考虑了智能系统（IS）常规内存区域的概念。对独立 IS 组件内存的形式化描述以无限饱和二叉树为基础。知识以语义层次的形式存储在特殊的内存子区域中。这些知识构成了记忆内容，由其语义结构表示。这种结构整合了由知识的形态和演化产生和转化的知识，反过来，这些知识又被用来实现信息系统的目标。知识形态和知识演化系统用于信息系统建模。该系统允许使用正则表达式来描述这些变形和演化的初始数据和数值区域。这些集合的系列概括了形态域的类系统。这些类是为所使用的知识形式主义和知识处理流程图开发的。应用正则表达式描述信息系统组件的内存结构，可以为大型复杂智能系统构建高级数学模型。通过这些模型，我们可以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。
期刊介绍：
Programming and Computer Software is a peer reviewed journal devoted to problems in all areas of computer science: operating systems, compiler technology, software engineering, artificial intelligence, etc.
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