The purpose of the study is to define the specific features of the mythology of electronic money in the culture of the information society. There are determined three main aspects of the problem. First, the mythology of money includes a number of misconceptions in the field of economic knowledge. The main misconception is the idea that electronic money is primarily a material carrier of information about the number of monetary units in an account. In this misconception, information and the form of its presentation are an inseparable whole. Second, the modern mythology of money is represented by irrational ideas about how money can be acquired. In particular, it is idea that electronic money appears as a result of the game of chance, as a consequence of luck, as a «miracle». Third, the mythology of money is a secondary semiotic system, it is a set of additional meanings that reflect the impact of the world of finance on man and society. Features of the mythology of electronic money as a secondary semiotic system are a mystification of money, the interpretation of money as a magical force that is beyond the control of people, but affects them. The mystification trend is directly related to the peculiarities of electronic money itself: it is not a thing and has no significance.

This article provides a philosophical approach to the problem of induction for an Embedded in environment intelligent agent. The current hypothesis considers a model of artificial intelligent provided that the World-picture embedded in agent which is surrounded by natural environment. Also when the agent is out of data about its environment, it must achieve the self-capability to fill data about the World in the epistemology process. Otherwise, the Agent must be able to close the gaps in its internal World. The agent, as it accumulates knowledge, must be aware of itself as a part of something greater, calculate the substance from which it was created, for this purpose an epistemological approach in learning is proposed. In conclusion, it is suggested that artificial intelligence is more likely to appear in an environment where it has undeniable advantages over natural intelligence, this space is virtual.

The article contains an analysis of the philosophical foundations of the very idea of creating and implementing artificial intelligence via comparison by analogy with the hypothetical concept of "artificial life". The logical and conceptual unfoundedness of common definitions of artificial intelligence is demonstrated. The article offers the understanding of intelligence as an exclusively natural way of solving tasks, and not as a common function that can be implemented on the basis of other technologies. The conclusion is made about the inexpediency of direct replacement of a human with devices with artificial intelligence without a fundamental change in the basic principles of organizing field of activity. The questionableness of the idea of creating general artificial intelligence as a universal local device with a unified architecture in the presence of many specialized devices is substantiated. Doubts are expressed about the effectiveness of the application of evolutionary methods and learning procedures in the design of devices that solve tasks that are considered intelligent.

This paper is devoted to some generalizations of explanatory potential of connectionist approaches to theoretical problems of the philosophy of mind. Are considered both strong, and weaknesses of neural network models. Connectionism has close methodological ties with modern neurosciences and neurophilosophy. And this fact strengthens its positions, in terms of empirical naturalistic approaches. However, at the same time this direction inherits weaknesses of computational approach, and in this case all system of anticomputational critical arguments becomes applicable to the connectionst models of mind. The last developments in the field of deep learning gave rich empirical material for cognitive sciences. Multilayered networks, mathematical models of associative dynamics of learning, self-organizing neuronets and all that allow to explain the principles of human conceptual organizing and after this to emulate these processes in computer systems. At all engineering achievements of this technology there is a traditional criticism from representatives of cognitive psychology who cannot accept a thesis about learning ability of a neuronet on the basis of redistribution of scales. Process of learning of natural intelligence, according to cognitive models, happens due to attraction of knowledge broadcast in a symbolical form (mental representations, concepts) at the expense of the systems of output knowledge expressed in the propositional contents. Some philosophical aspects of «neural metaphor» in modern cognitive sciences create the problem field which demands comprehensive understanding, the first step towards which is taken in this work.

The development of new forms of cooperation between the state and citizens within the framework of the general digitalization of public administration, due to the radical restructuring of state-public interaction, taking into account compliance with the realities and new challenges that arise on the way of introducing modern information and telecommunication technologies in all spheres of public life, is characterized by several positive shifts in this area. In particular, the activities of public administration and local self-government bodies are becoming more open, transparent, as understandable as possible, and close to the usual everyday needs of individuals. However, these processes do not always allow achieving the desired effect, because they can be accompanied by a lack of constructive dialogue between the subjects and objects of management, rejection of the new realities of functioning and resistance to social changes, some negative manifestations caused by the latest social reality. At the same time, we would like to note that without exception, all stages of the historical development of mankind at the stage of their transition from one to another brought with them significant qualitative and quantitative changes in all spheres of social life, including social, every day, political, cultural and spiritual and the like, characterized by both positive shifts and negative phenomena.

Advanced computers with high accuracy and speed in interactive mode increase the flexibility of processes in terms of objective control of performance, including due to the fact that automatic control of various devices is performed based on the results of their interactions with each other through communication channels. Simulation of human thinking using computers is a mechanism that can guarantee work in conditions of uncertainty. The accompanying increase in the volume of processed information makes it impossible to process it without the active use of computer technology, and, in turn, the complexity of computer tools leads to the complexity of managing them. Therefore, computer nodes must be managed. A convenient tool for managing computer nodes with the participation of an expert is obtained. To manage a computer node, you need to adjust its parameters. Adjustment of the computer node parameters should be made after and based on the analysis of information about the current functioning of the computer node. As the analysis is carried out verification of statistical hypotheses about node status. The proposed approach to the development of computer technology can be applied to the design of complex structured computer systems and networks. The paper uses analytical modeling of queuing systems and methods of nonparametric statistics. Adjusting the parameters of computer nodes allows you to improve their performance.

One of the priority areas for the development of education is the introduction of information and communication technologies, which ensures the improvement of the educational process, the availability and efficiency of education, the preparation of the young generation for life in the information society, and among the main tasks is the creation of conditions for the development of the industry of modern teaching aids (educational -methodical, electronic, information and communication). In this article, the authors investigated strategies for formal education, and analyzed the main challenges and approaches to the "digitalization" of education. The rapid and profound consequences of the transition to digital will be possible only when digital transformation becomes the basis of the life of society, business and government institutions, becomes a familiar and commonplace phenomenon, becomes DNA, a key element on the path to prosperity, and becomes the basis of prosperity. Digital literacy (or digital competence) is recognized as one of the keys for a full life and human activity, therefore, the formation of information and communication competence is mandatory. This will help to ensure the right of everyone to receive education throughout life, equal conditions of access to education, regardless of the place of study.

Lexander Boldachev is a Russian philosopher, futurologist (member of the Association of Futurologists of Russia), author of books and articles on universal evolutionism, biological evolution, philosophy of artificial intelligence, temporal ontology, epistemology, and logic. System architect and analyst of blockchain applications, author of articles on the problems of trust technologies, eGovernment, web 3.0, semantic modeling of complex systems, speaker of many specialized conferences.