The "Economic Strategies" journal

2020 #6. 2020 Metrics and Meanings




Scientific Foundations of a New World Order Based on Compromise and Harmony

DOI: 10.33917/es-6.172.2020.86-93

The article proposes a new paradigm of the world order based on the principles of compromise and harmony. In place of liberalism, the world of prehistory, there is a true history — the system of sociohumanism. The dyadic paradigm of the “struggle” of opposites is removed by the triadic paradigm of their harmonic synthesis. A generalized set of innovations is given in opposition to the existing system of life arrangement.

On Some Factors of Economic Growth and Regional Development

DOI: 10.33917/es-6.172.2020.78-85

For several years, there has been a considerable interest in the development of regions and their contribution to the national economy, both in Russia and in foreign countries. The regions are characterized by uneven economic development and the amount of taxes and fees going to the Federal budget. Moreover, in Russia, this unevenness in regional development is particularly strong, which is facilitated by tax policy that affects the reduction of regional tax independence and does not encourage the regions to develop their income base. The task of achieving a balance between donor and recipient regions, reducing the number of subsidized regions, and creating incentives to increase their incomes and economic growth is one of the most actual problems of Russian economic policy.

Cellular Paradigm of Network Organization: Implications for Present-Day Society

DOI: 10.33917/es-6.172.2020.68-77

Microorganisms and cultivated cells from human or animal tissues form complex network structures (colonies, biofilms, flocs, granules, etc.) that are characterized by efficient communication and behavior coordination in the absence of a central pacemaker. The decentralized (flat) network organization of such structures is due to the functioning of (a) information-transmitting intercellular contacts, (b) a signal field created by distant communication systems, including the quorum-sensing system; and (c) a biopolymer matrix that cements the cells of the whole network structure. Microbial network structures exist in the human organism, especially in the gastro-intestinal (GI) tract. The cellular networks engage in complex interaction with the host organism. The organism represents a complex combination of hierarchical structures and decentralized networks and includes the brain, the peripheral nervous system, the immune system, and the endocrine system.

The interaction between the microbiota and the host may produce both positive and negative effects on the host’s physical and mental health, because decentralized networks are known to possess not only useful but also potentially harmful properties. Communication between microbial cells and the host organism involves neurochemicals, i.e., chemical compounds, whose functions include impulse transmission between nervous cells. In the final section, the cellular paradigm of network organization is envisaged as the conceptual basis of organizational technology aimed at creating efficient non-hierarchical creative teams that are cemented by common values and goals (the network matrix).

Classification of Artificial Intelligence Systems

DOI: 10.33917/es-6.172.2020.58-67

The article considers the classification of Artificial Intelligence (AI) systems. The role of AI has increased significantly recently in all areas of life. The use of AI in public administration, in production, in medicine, in the military, in the social sphere, etc., raised a number of questions related to the definition of AI and classification of AI systems. Classification of AI is necessary to understand the role of AI in the digital economy. Classification becomes important in the context of intensive development of international standards for AI systems and knowledge-based systems (expert, neural, multi-agent, cyber-physical systems and systems based on the industrial Internet)

Neuromanagement: Convergent Integration of the Human Brain and Artificial Intelligence

DOI: 10.33917/es-6.172.2020.46-57

World achievements in the field of neuroscience have provided previously inaccessible opportunities for creating fundamentally new control systems based on neurointerfaces (brain — computer — brain). Hybridization of environments — gradual blurring of the boundaries between physical, cognitive and digital realities — is taking place. Descriptions of social and cognitive practices of real people are transformed into forming an artificial electronic subject, which becomes more real, replacing a biological object in society (a person is how he is represented in the electronic information environment). At the same time, development of the neurointerface perspectively leads to conversion of nervous tissue and changes biological substrate of the human brain and body in the vector of convergent collaboration of living and artificial nervous systems. Our American competing partners (the US Department of Defence represented by DARPA) carry out multidisciplinary comprehensive research in this area, leading in real results, the US leadership is increasing government funding. A qualitative change in technologies for managing people, society and the state is taking place. Russia’s objective in these conditions is to form its own segment of Neuronet, relying on domestic neurotechnologies, by analogy with the policy of import substitution in Russian nuclear energy.