{"title":"INFORMATION TECHNOLOGY TOOLS FOR CONTROLLED EVOLUTION","authors":"A. Palagin","doi":"10.34229/1028-0979-2021-5-9","DOIUrl":null,"url":null,"abstract":"Information and technological tools for controlled evolution are considered as a basis for a transdisciplinary approach to building a scientific picture of the world from the standpoint of the noospheric theory of V.I. Vernadsky and assessment of complexity of the system, which evolves. The noospheric theory appeals to scientific thought able to direct the evolutionary process to create a harmonious unity of the system «Human — Nature». It became the basis of the concept of sustainable development of human society. The central issue of the controlled evolution is building a scientific picture of the world related to solving complex scientific and practical problems from the standpoint of a comprehensive account of the entire set of factors, which affects the process of evolution. The emerging transdisciplinary theory as a science can provide a solution of these problems by developing methods and tools for interdisciplinary interaction while forming the integrated knowledge. An example of such interaction is a purposeful convergence of disciplines and their related technologies and as a result — the development of promising convergence clusters. Best known today is NBIC cluster (nano–bio–information–cognitive technologies). One of the central principals of transdisciplinarity states: knowledge of the laws of nature is single and indivisible. The main aspects of cognitive evolution are considered, which combine the evolution of the mechanism of human thinking (with the dominance of the logical-verbal type) and improving the life cycle of constructive knowledge and its use. The possibilities of modern cognitive intelligent technologies in relation to the development of a consolidated intelligence, an ontologically controlled knowledge market and a national diversified developing control system by the type of National Automated System (NAS) of V.M. Glushkov are analyzed. In this regard, special emphasis is placed on the development of service-oriented systems for research design which can be adapted to a many classes of tasks, can be extended functionally and intellectually. In conclusion, it is emphasized that the projection of the work on the general theory of evolution on the practical needs of Ukraine in terms of the strategy of its sustainable development is appropriate and presents a state-alone very important direction of scientific research and practical developments with applied using of the results and provisions set forth in this paper.","PeriodicalId":54874,"journal":{"name":"Journal of Automation and Information Sciences","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Automation and Information Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34229/1028-0979-2021-5-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
引用次数: 1
Abstract
Information and technological tools for controlled evolution are considered as a basis for a transdisciplinary approach to building a scientific picture of the world from the standpoint of the noospheric theory of V.I. Vernadsky and assessment of complexity of the system, which evolves. The noospheric theory appeals to scientific thought able to direct the evolutionary process to create a harmonious unity of the system «Human — Nature». It became the basis of the concept of sustainable development of human society. The central issue of the controlled evolution is building a scientific picture of the world related to solving complex scientific and practical problems from the standpoint of a comprehensive account of the entire set of factors, which affects the process of evolution. The emerging transdisciplinary theory as a science can provide a solution of these problems by developing methods and tools for interdisciplinary interaction while forming the integrated knowledge. An example of such interaction is a purposeful convergence of disciplines and their related technologies and as a result — the development of promising convergence clusters. Best known today is NBIC cluster (nano–bio–information–cognitive technologies). One of the central principals of transdisciplinarity states: knowledge of the laws of nature is single and indivisible. The main aspects of cognitive evolution are considered, which combine the evolution of the mechanism of human thinking (with the dominance of the logical-verbal type) and improving the life cycle of constructive knowledge and its use. The possibilities of modern cognitive intelligent technologies in relation to the development of a consolidated intelligence, an ontologically controlled knowledge market and a national diversified developing control system by the type of National Automated System (NAS) of V.M. Glushkov are analyzed. In this regard, special emphasis is placed on the development of service-oriented systems for research design which can be adapted to a many classes of tasks, can be extended functionally and intellectually. In conclusion, it is emphasized that the projection of the work on the general theory of evolution on the practical needs of Ukraine in terms of the strategy of its sustainable development is appropriate and presents a state-alone very important direction of scientific research and practical developments with applied using of the results and provisions set forth in this paper.
期刊介绍:
This journal contains translations of papers from the Russian-language bimonthly "Mezhdunarodnyi nauchno-tekhnicheskiy zhurnal "Problemy upravleniya i informatiki". Subjects covered include information sciences such as pattern recognition, forecasting, identification and evaluation of complex systems, information security, fault diagnosis and reliability. In addition, the journal also deals with such automation subjects as adaptive, stochastic and optimal control, control and identification under uncertainty, robotics, and applications of user-friendly computers in management of economic, industrial, biological, and medical systems. The Journal of Automation and Information Sciences will appeal to professionals in control systems, communications, computers, engineering in biology and medicine, instrumentation and measurement, and those interested in the social implications of technology.