THE TRIUNE NATURE OF NATURAL INTELLIGENCE

A. Nikishina, I. Novikov, Aleksandr Petrovich Novikov
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Abstract

The monograph for the first time formulated and described the spiral technology of research and modeling of natural intelligence with three-step turns. Currently, only the first two steps of the first round of spiral technology are widely known. The need for this technology is dictated by the inability to know the natural intelligence, dissecting it or scanning by any radiation. The technology allows us to switch to high-performance systematic work instead of discussions about the nature of artificial and natural intelligence, as well as instead of the dreamy expectation of mysterious heuristics to address issues raised in the creation of artificial intelligence. The basis of the theory in the creation of a new technology is the result of the search for a constructive character in the interpretation of the concept of natural intelligence, that is, the interpretation of the triune nature of natural intelligence. The primary purpose of research on the subject of the monograph, the authors adopted the formulation and description of the theoretical basis of solving the problems of knowledge representation in computer systems. The creation of a theoretical basis becomes possible only with the realization of the triune nature of natural intelligence. The theoretical basis corresponds to the natural science positions in the study and modeling of the epistemological model (objectively isolated part, the unity with the other two parts of the natural intelligence component). The theoretical basis is in demand for obtaining knowledge models in computer systems, allocation on a set of these models of classes, and thus, for the formation of technical requirements in the work on the creation of new shells of knowledge-based systems that implement knowledge models of new classes. In the works focused on achievement of the declared purpose, and in the monograph it is convincingly shown that the whole layer of already executed large-scale works on formation of classes of models of knowledge in computer systems was not based on natural science positions, and for this reason results of already performed works are not demanded at creation of new systems based on knowledge. A significant part of the monograph contains a description of the historical aspect of the works on the stated topic. The consideration of the historical aspect allowed us to see the subjective reasons why the simple to understand and use spiral technology with three-step turns (the theoretical basis for solving the problems of knowledge representation in computer systems) for so long from the moment of formation and recognition of the scientific direction «artificial intelligence» remained undetected and not described for use in research and modeling of natural intelligence in the creation of artificial intelligence. The description of the historical aspect shows the forced reorientation of works on the topic from purely practical (not provided with a theoretical basis) to purely theoretical (not accompanied by works on the modernization of a software product and its implementation in real production). It is also noted that the return to the rails of highly profitable practical work is possible and appropriate. And, accordingly, recommendations for reorientation of works on the topic on the rails of practical and highly profitable are given.
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自然智慧的三位一体本质
该专著首次以三步转的方式阐述和描述了自然智能研究和建模的螺旋技术。目前,只有第一轮螺旋技术的前两个步骤是广为人知的。对这项技术的需求是由于无法了解自然智能,无法通过任何辐射对其进行解剖或扫描。这项技术使我们能够转向高性能的系统工作,而不是讨论人工智能和自然智能的本质,也不是幻想着用神秘的启发式来解决人工智能创造过程中出现的问题。新技术创造中的理论基础是在解释自然智能概念时寻找建设性特征的结果,即解释自然智能的三位一体性质。本专著的主要研究目的是,作者采用了解决计算机系统中知识表示问题的理论基础的表述和描述。只有认识到自然智能的三位一体本质,理论基础的创造才有可能。理论基础对应于自然科学中认识论模型的研究和建模(客观上孤立的部分,与其他两部分统一的自然智能组成部分)。理论基础是在计算机系统中获取知识模型的需求,在一组这些类模型上进行分配,从而在工作中形成实现新类知识模型的知识系统新外壳的技术需求。在专注于实现所宣布的目的的作品中,在专著中令人信服地表明,已经执行的关于计算机系统中知识模型类别形成的大规模工作的整个层不是基于自然科学的立场,因此,在基于知识的新系统的创建中不需要已经执行的工作的结果。专著的一个重要部分包含对所述主题的作品的历史方面的描述。对历史方面的考虑使我们看到了主观原因,为什么从科学方向“人工智能”形成和认识的那一刻起,简单理解和使用三步旋转的螺旋技术(解决计算机系统中知识表示问题的理论基础)一直没有被发现,也没有被描述用于研究和人工智能创造中的自然智能建模情报。历史方面的描述显示了关于该主题的工作从纯粹的实践(没有提供理论基础)到纯粹的理论(没有伴随软件产品的现代化及其在实际生产中的实现的工作)的强制重新定位。还应指出,回到利润丰厚的实际工作的轨道上来是可能的和适当的。并据此提出了在实用和高利润的轨道上重新定位本专题工作的建议。
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