As the history of cognitive science testifies, most of the problems and corresponding discussions are built around two basic concepts: representations and computations. The known schools, or ‘paradigms’, of cognitive disciplines differ depending on their adopting or denouncing the relevance of these concepts for their theories, as well as on a certain understanding of the nature of phenomena referred thereby. Since representations, if adopted and allowed, are considered a necessary element of computational processes, then we are not mistaken if we say that the entire spectrum of cognitive theories is aligned with the basic concept of computation - from accepting them in the strictest (formal-symbolic, Turing-style) versions, through more ‘weak’ non-Turing concepts, to a complete denial of the applicability of this concept to the sphere of cognition and conscious control. Below, I will try to analyze the current approaches in cognitive science with a view to classifying them as a strong or weak version of computationalism - or as a radical anti-computationalism

Article clears up the basic logic, which is the cornerstone of esoteric programming languages and in basis of ordering of Gnostic texts. The methodology of a research includes analytical approach. Gnostic texts and esoteric programming languages show basic axiomatic, on which the decisions made on the carried-out transactions, and/or estimates of an essence of the events, which are taking place in the Universe, rely. For programming it is laws of a Boolean algebra, for Gnosticism it is mythopoetic symbolism as a basis of creation of statements. Contents and a type of axioms differ, but the axiomatic principle provided as the general logical basis remains. Especially important result of work is detection of the principle of cryptosymbolism, which enters as into structure of logical bases of esoteric programming languages, and in number of the basic beginnings of Gnosticism. The author makes a conclusion that Gnostic texts are a key to understanding of cultural sense of esoteric programming languages

In this article author explores modern approaches for building of intelligent computational applications, which are learn by experience. Different definitions of explanation of intelligence are analyzed in context of human and in context of machine. A brief history of computational technics is illustrated, as well as a history of thoughts about artificial intelligent machines. The most fundamental science fields which influence the development of artificial intelligence are defined. The history of artificial intelligence becoming a field of knowledge is described. The reasons why the first wave of development of artificial intelligence did not live up to the expectations are listed. The key factors why today artificial intelligence is more real are explained. The theory of «Algorithm of God» by Pedro Domingos according to which there’s no physical reasons why strong artificial intelligence is impossible is described. The arguments how artificial intelligence is possible also provided by Domingos. The relation between artificial intelligence and machine learning is explained. Analyzed philosophical effects of usage of such approachs on given stage of development of science and technology, philosophical implications of usage of such technologies are predicted.The relation between deduction and induction is explained as well as the difference between deterministic applications and artificial intelligence

The article deals with the projects of L. Floridi’s philosophy of information and V. Rudnev’s narrative ontology in the context of the problems of modern philosophical anthropology and the formation of the anthropocene world picture. Particular attention is paid to the linguistic aspect of the hypothetical transformation of modern scientific discourse in general and humanitarian knowledge in particular. It is assumed that the narrative deixis of reality provides for goal-setting and overcomes the finiteness of language structures. The prospects and the semantic potential of the reinterpretation of the narratio concept in the ontological dimension, as well as the possibilities of the narrative ontology project for rethinking the category of time in modern metaphysics, are analyzed. The mythological character of the generation of the meaning within the limits of digital communication and information and communication technologies in general, as well as the specificity of the transformation of the vital world and the picture of the human world in these conditions, is clarified. In addition, the epistemological potential of rethinking the category and philosophies of the object and symbol within the narrative ontology is defined. The relevance of the interpretation of the project of narrative ontology for modern philosophical and scientific discourse in conditions of socio-cultural dynamics conditioned by the development of information and communication technologies is emphasized

He article considers several functional principles of the organization of Academia.edu scientific social network in the perspective of communicative and system approaches. This network is considered as an integral part of the Open Science project, which is a high-tech alternative to both traditional systems of scientific publication and reviewing, and commercial databases of scientific articles. The structure of Academia.edu site, combining key features of the social network and the electronic base of scientific articles, is analyzed from the point of view of the communicative models used in it, new research strategies, and technical opportunities for disseminating and popularizing its results. The author distinguishes five main functional groups of this social network: 1) publication, 2) communication, 3) search, 4) statistics and 5) evaluation, affirming the principal possibility of describing the logic of the last two functional groups in the terms of Social Network Marketing (SMM). The analysis of the organization of the network allows to conclude that there is a tendency in Academia.edu in particular and Open Science project in general for a gradual transition from anthropocentric models of scientific research to problem-centric ones with the concomitant development and improvement of statistical tools for assessing the effectiveness of scientific activity. The author is forecasts a further increase in the role of electronic databases, social networks, and search engines, including those based on machine learning systems and artificial intelligence within the framework of development of Open Science project

With the help of the foregoing text, I try to deal with the problem of the relationship between consciousness, awareness and self- awareness with the view of their modelling in artificial media. Consciousness is understood as the totality of all those properties that we lose, when we ‘lose consciousness’. Awareness is the property of some cognitive processes to be the subject to internal control. I show that mechanisms of memory and attention are generally all that is needed for such monitoring. However, according to a very common opinion, awareness is inextricably linked with self-awareness, and the philosophical foundations of this belief date back to Descartes and Kant. Based on the concept of representation as a necessarily simplified form of data exchanged by computing (including cognitive) processes, I show the irrelevance of this point of view