The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial (deep learning, robotics), natural sciences (neuroscience, cognitive science, biology), and philosophy (philosophy of computing, philosophy of mind, natural philosophy). The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as info-computation through morphological computing, can contribute to machine learning and artificial intelligence, and how much on the other hand models and experiments in machine learning and robotics can motivate, justify, and inform research in computational cognitive science, neurosciences, and computing nature. We propose that one contribution can be understanding of the mechanisms of ‘learning to learn’, as a step towards deep learning with symbolic layer of computation/information processing in a framework linking connectionism with symbolism. As all natural systems possessing intelligence are cognitive systems, we describe the evolutionary arguments for the necessity of learning to learn for a system to reach humanlevel intelligence through evolution and development. The paper thus presents a contribution to the epistemology of the contemporary philosophy of nature.

The article is devoted to the applicability of Wittgenstein’s following the rule in the context of his philosophy of mathematics to real mathematical practice. It is noted that in «Philosophical Investigations» and «Remarks on the Foundations of Mathematics» Wittgenstein resorted to the analysis of rather elementary mathematical concepts, accompanied also by the inherent ambiguity and ambiguity of his presentation. In particular, against this background, his radical conventionalism, the substitution of logical necessity with the «form of life» of the community, as well as the inadequacy of the representation of arithmetic rules by a language game are criticized. It is shown that the reconstruction of the Wittgenstein concept of understanding based on the Fregian division of meaning and referent goes beyond the conceptual framework of Wittgenstein language games.

The development of the social sciences needs to rely on precise methods. The nomological model of explanation adopted in the natural sciences is ill-suited for the social sciences. An algorithmic model of society can be a promising solution to existing problems. In its most general form, an algorithm is a generally understood prescription for what actions to perform and in what order to achieve the desired result. Any algorithm can be represented as a set of rules of the form «If A, do D to get P». People are the bearers of this kind of rules that apply in different areas of their activities. The rules are subject to change based on personal and collective experience. There is a special mathematical discipline that studies the laws of evolution of such rules. This discipline is called genetic (evolutionary) programming. Contrary to the threatening name, the algorithmic model does not imply the deprivation of a person’s right to free choice, but it needs this right as a necessary condition for the evolution of social algorithms. These algorithms allow us to give a non-causal, but law-like explanation of many well-known social phenomena, as well as to effectively model the future, which is critically important today. A retrospective look at the evolution of social algorithms shows that the current global crisis of human society is associated with the approach to the point of singularity in their evolution. This is due to the fact that there is no need for direct human participation in the implementation of social algorithms, which is reflected in a fundamental change in the sphere of employment and less need for further development of the sciences.

The article is devoted to the comprehension of formation and development of digital sector of the national economy in the People’s Republic of China in the first decades of the 21-st century. This study examined the essense of the digital economy as such, its inception and development, and the advantages, by which it supplies the world economy in the field of trade and services. The article explores the reasons, that led the transition of the Chinese State to digitalization at a later date than in the USA and other Western countries, and Japan and Korea. This study examines the beginning of the process of creating the Internet technology sector in the Chinese economy with an explanation of the factors that caused the difficulties that PRC faced at the initial stage in this area at the initial stage. The work contains an analysis of the policy of the Chinese authorities in the field of the development of high technologies in the period under study. The authors explore the causes and consequences of fundamental changes which occurred during the formation of the network component of the national economy of China in 2010-s and explain the significant successes that the People’s Republic of China has achieved in the global high-tech market, taking into account the specifics of political situation in the country and its influence on the foreign economic policy of the Celestial Empire.

The body-oriented approach in the philosophy of cognitive sciences is gaining in importance in the conditions of the formation of new high-tech contexts. The problem of interoception and integration of bodily data into socio-economic processes requires a comprehensive analysis and ethical assessment. This article examines the conceptual foundations of the body-oriented approach and its impact on the essence of cognitive processes. The main advantages and disadvantages of this approach are presented. We consider the methodological conflict zones of the bodily paradigm and traditional methodological attitudes of the cognitive sciences. The system ofinteroceptive sensations is a special «layer» of bodily experience. The social functions of interoceptive sensations are an interdisciplinary research area that focuses on the mechanisms of interaction between the private content of bodily experience and systems of social interaction. The regularity between interoceptive sensations and human behavioral patterns reflects the importance of examining bodily data. Today, the market for bodily data is just beginning to form, but at the same time it is already playing an important role in global digital transformation processes. A multitude of applications and wearable digital devices that track bodily activity and generate gigantic amounts of data are used today by millions of people around the world. The identification of bodily activity leads to the emergence of new forms of interaction between a person and socio-institutional systems, the specific properties of which are also considered in this article.

The article is based on reports and discussions held during three online events organized by the Russian Research Center for the Internet of Things together with the Department of Philosophy and Sociology of South-West State University during 2021: an open discussion with the famous transhumanist philosopher David Pearce dedicated to the birthday of Jeremiah Bentham on February 15, a round table dedicated to the World Internet of Things Day on April 9, and a session within the first IoT Hot Spots conference on June 16.

The main topics for discussion this year were the consideration of the following philosophical and socio-cultural problems and concepts in the light of the development of cyberphysical systems: anthropological differences between the «posthuman» and «metahuman» projects, epistemological aspects of bio- and cybersemiotics in modern hybrid techno-social networks, the cultural dimension of remote proximity in the digital age, the ontology of the quantum complexity of the digital multiverse, the ethical dimensions of the digital economy in the post-covid period, the aesthetics of metamodernism in the smart city, the anthropocene effects of silicon addiction and the race of computing, socio-philosophical problems of management in situations of high uncertainty, political strategies for sustainable development.