Energy sector, like the defence complex, is one of the key industries that serve as a basis for the life support processes of the country and the resulting stability of the state political structure. World practice has clearly demonstrated the key dependence of domestic political and social stability on reliability and sustainability of energy supply. Multifactorial survivability of the energy supersystem under normal and critical conditions of natural and anthropogenic origin can be provided through forming a net-centric system of elevated management stability, based on a distributed network of inter-corporate disaster-resistant data centers for processing and storing extremely large data sets. It is proposed to use data centers as bases for digital “twins” of energy facilities and processes in order to finally achieve a new quality of control based on digital topology within a single digital model of the energy supersystem with the possibility of secure collection, storage, processing and exchange of data, necessary for managing power facilities of various sectoral subsystems of the Russian fuel and energy complex, as well as for regional and municipal authorities. Application of digital topology makes it possible, during local interactions, to search for and implement solutions for moving towards local, network and polycentric resource-operational optima in order to minimize costs (price burden on the consumer) of separate companies and the entire industry with the aim of maintaining reliability and sustainability of energy supply, including security costs of the critical information infrastructure systems
The problems of forming a unified digital information environment of a group of industry and cross-industry clusters of large and medium-sized companies within the framework of international integration associations (unions) with the participation of Russia are considered. The possibility and expediency of involving various types of resources distributed over economic spaces into the control loop has been substantiated. It is proposed to form resource- and object- (agent-based) structured matrices of effective demand and cooperative supply of products and services in Russia and abroad.
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.
The article discusses the problems of digital monitoring of international settlements with the cooperated structure of the EAEU financial and stock markets as multi-agent systems. The introduction of a digital platform with analytical services for the identification of cluster monetary and financial interpretations of the observed operations and the identification of real beneficiaries (hidden control centers) of operating schemes and transaction chains of specific financial operators is justified. It is proposed to build a computationally observable object-resource base of electronic transactions that allows you to track the movement [including budget] of each ruble or other non-cash currency through any number of accounts that serve as the basis for establishing all participants in the financial chain.
The article analyzes the system of state guarantees of providing free medical care to citizens operating in the Russian Federation and proposes the direction of improving the accounting of state guarantees on the basis of the principle of «one person – one guarantee». To do this, it is proposed to create an information system of accounting that will allow in the short term to more accurately calculate per capita standards of financing of free medical care, and in the medium term opens up opportunities based on the analysis of accumulated data using elements of artificial intelligence to create predictive models of demand for free medical care in relation to the source of financing, and to work out different scenarios on them.
The article discusses the problems of creating a digital model for increasing transparency and the success of ensuring control over the movement of assets between participants in commodity, financial and property transactions within the framework of the EAEU financial system. It is proposed to increase the observability of any segments of the financial system, which can be digitally structured by electronic digital identification of each currency in the monitoring spaces of digital financial assets. The results of the analysis can be used to optimize the operational dynamics of electronic transactions of explicit alliances and informal cartels of financial agents in the observed space of digital formats of financial communications, taking into account the movement of funds in various forms and denominated in different currencies.
The key factor determining success of Trump’s election strategy was the use of cognitive neurophysiology methods — digital identification of a virtual doppelganger of a real voter in information and social networks. Semantization of the states of consciousness and psyche of individuals, being identified in the Global Network, on the basis of computational decisions allows to encapsulate (grab) an integral position that suits most people available for monitoring in order to set the vector of stable convergence of Trump’s election platform and the views of a particular American voter described and analyzed. Identification allows to influence the dominant focus of the emotional-imagination block for remote cognitive correction of the people’s political position in conditions of strategic bifurcation (elections). Russian developments in the field of personality neuro-management are also of great scientific and practical importance
The paper addresses the issue of forming an intelligent digital infrastructure for managing the country’s economy in special conditions: global disasters, catastrophes and emergencies. The experience of creating large information systems for managing the country’s economy in a special period is evaluated. The convergent approach for creating the required system for management support is proposed. It is shown that under these conditions, high management efficiency can be achieved on the basis of special support for self-organization processes and anti-collapse self-adjusting integration of information system segments and intelligent services that are adaptable to conditions of a known, predictable and unknown nature. At the same time, the integration of network infrastructures involves the distributed processing and storage of data based on interaction and integration of various network environments, which allows to achieve previously unattainable reliability, stability and recoverability of economic management.
Successful development of our country is closely connected with the option of creating a digital economy in Russia. Herewith, one of the most important components of this process is creation of supporting infrastructure for the digital economy as a convergent aggregate of digital ecosystems based on “big data” technologies, quantum computers, new production methods and artificial intelligence. Development of the Russian economy requires effective state regulation, increased manageability based on introduction of digital platforms for the main sectors of economy. The article dwells on formation of strategic mechanisms for monitoring, planning and market regulation of the Russian economy on the basis of building an integrated system of electronic markets for commodity resources using electronic trading platforms (ETP). Integrating ETP for creation of a complex system of electronic markets for commodity resources, associated with digital management platforms for major industries, creates new opportunities for optimizing dynamic interaction and adaptive improvement of commodity management transactions chains for creating a common logic of management processes in different commodity and market spaces and at all levels of management in Russia (and EAEU), which form the demand for issuing support of economic activity and volumes of financial resources (assets), denominated in a particular currency of one of the states — members of the EAEU.
The key factor determining the victory in the battle for the future is not the territory, not the army and not the volume of financial, material and intellectual resources being involved. The key factor of the victory is cognitive programming of subjective reality: mass-individual adjustment of the semantic interpretation of the existence goal and life success to form the material future through self-adjustment of the surrounding subjective reality to the “image of Victory” in cognitive perception of oneself and the surrounding material, virtual and imaginary individual world. Special urgency is acquired by this factor in conditions of building a “digital economy”. The basis of such mechanisms constitutes noomonitoring as a tool for making a “cognitive snapshot” of subjective reality, forecasting, planning and metaprogramming on its basis the “image of Victory” by forming in groups of individuals new knowledge about themselves and the surrounding world, as well as the structure of ideological and professional patterns for interpreting surrounding reality and its subsequent correction within the personal management while developing and implementing management decisions of individuals and groups as a basic reference point for managing groups of interrelated people, machines, technical, including information, systems and natural objects.