INFORMATION SYSTEMS OF ARTIFICIAL INTELLIGENCE MAKING THE BEST DECISIONS IN THE ECONOMY

2016 ◽  
Vol 4 (2) ◽  
pp. 197-203
Author(s):  
Александр Носов ◽  
Aleksandr Nosov

The article examines the possibility of using artificial intelligence in economic systems. The theoretical foundations of the methodology description of recognizable objects in the selected feature space showed. An approved method of coding practice characteristic values based on their adaptive quantization, allowing learners to use simple recognition algorithms using the corrected weighting coefficients is given. Such systems can be used to address the macro- and micro-economic challenges as well as in shaping the competencies of staff.


2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.



Author(s):  
Daniel Auge ◽  
Julian Hille ◽  
Etienne Mueller ◽  
Alois Knoll

AbstractBiologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes.



2018 ◽  
Vol 7 (4.38) ◽  
pp. 82
Author(s):  
Aleksey Valentinovich Bogdanov ◽  
Igor Gennadievich Malygin

The paper considers the conceptual provisions of building a promising cognitive information security system of the museum complex on a cyber-physical basis. The stratified model of cognitive information security system of the museum complex was presented. It was shown that the key technological platform for the security of the museum complex is information and network technologies integrated (converged) with the technologies of industrial artificial intelligence. The generalized structural scheme of the cognitive cycle of the information security system of the museum complex was considered. The characteristic of the basic processes realized in a cognitive contour was given.   



Author(s):  
Olga Brizhak ◽  
Vladimir Novikov

Dynamic and deep socio-economic transformations at the present stage of the development of social and economic life even more accentuate the attention of researchers and practitioners on the concentration of reflected forms that characterize their virtual nature. The superstructure of virtual forms, complementing the real basis of the economic system, transforms it in a similar way. Virtual signs, products, images form many-sided images, reproducing the mental activity of a person endlessly. Rapid flows of information are increasing, financial derivatives and currency transactions are multiplying, specific services are carried out that do not have a subjectobject basis and form virtual reality, reflecting and multiplying. The article shows that behind the movement of reflected forms there is a certain essence containing past and future scenarios of the formation of a new way of organizing economic activity of people, designated in a number of works as “knowledge economy”. For effective management of such economy the system quality of communications in all spheres of social and economic processes and the phenomena at the present stage is important. The authors investigate the structural elements of virtual reality and their characteristics; consider synonymous categories denoting the interaction of socio-economic systems in the network space. The article demonstrates theoretical and methodological approaches that reveal the essence, nature and content of the “virtual economy” and “virtual reality” in the conditions of modern socioeconomic transformations. The article uses the resources of knowledge economy, political economy, evolutionary and post-industrial methodology.



Author(s):  
Bogatyrev Evgeniy ◽  
Kodkin Vladimir

One of the rapidly developing research areas is the creation of systems. which are commonly referred to as cyberphysical complexes. In such systems, devices and complexes interact with a completely different physical nature. The role of a person in such systems usually consists in the formation of final tasks for “artificial intelligence” and executive mechanisms. The functioning of actuators is controlled by accurate information systems.



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