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检索条件"机构=Laboratory of modular data processing and control systems"

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Scenario Analysis of Protest Potential Based on Simulation Modeling 12

Scenario Analysis of Protest Potential Based on Simulation M...

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12th International Conference on Mathematical Modeling in Physical Sciences, IC-MSQUARE 2023

作者： Chernov, Igor Feyzov, Vadim Institute of Control Sciences RAS Laboratory of Modular Data Processing and Control Systems Russia

In this study, we present a scenario-based approach to investigate the protest potential in society using mathematical tools from graph theory and simulation modeling. The research aims to construct a cognitive map that reflects key factors, such as population deprivation levels, overall well-being, social fears, trust in authority, social expectations, and stability of social structures. We report the results of a scenario analysis of the developed model, obtaining forecasted scenarios of the dynamics of society's protest potential under various conditions and influences. At the core of this research is the examination of a complex system's possible response to external destructive impacts, and we propose a set of measures to counteract these influences on societal dynamics. The scenario methodology combines graph theory for representing complex relationships between key factors and simulation modeling for predicting potential developmental scenarios. Conducting this study required modifying the traditional mathematical apparatus of cognitive modeling. We developed methods and algorithms for scenario-event identification of the model's significant factors' behavior and utilizing the results of such identification when forming complex functional relationships in the scenario model. In generating scenarios, the range of events is significantly expanded compared to traditional cognitive modeling approaches, which could have been overlooked but may be crucial for situational analysis. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Graph theory

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Scenario Approach to Countering Mail Phishing Attacks in the Business Sphere 16

Scenario Approach to Countering Mail Phishing Attacks in the...

引用

16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Feyzov, Vadim Institute of Control Sciences Ras Laboratory of Modular Data Processing and Control Systems Moscow Russia

ISBN: (纸本)9798350337907

This paper presents an interdisciplinary research in cybersecurity, examining the impact of employees' behavioral factors on vulnerability to phishing attacks by email, using various scenarios. The research considers the psychological traits of employees in different departments of a company and assesses their influence on susceptibility to phishing attacks. The author proposes an approach that allows companies to develop more effective counter-phishing strategies. This approach helps identify unique psychological and behavioral patterns that can serve as risk factors in the context of phishing attacks. © 2023 IEEE.

关键词： Personnel

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Scenario Models Based on a Digital Portrait of a Person 15

Scenario Models Based on a Digital Portrait of a Person

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15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Chernov, Igor Feyzov, Vadim V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Modular Data Processing and Control Systems Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

This article is devoted to the study of the problems of developing cognitive models of personality psychological makeup based on digital portrait data. The authors present results of the analysis of data collection technologies which are used to form digital portraits of a person and the problems of personal data security in the network and research scenario study of the developed graph cognitive model of the personality psychological makeup and the processes of informational influence on it. © 2022 IEEE.

关键词： Analytical models Public relations Law data security Psychology data collection Market research

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Convergent Ontologization of Collective Scientific Discoveries 14

Convergent Ontologization of Collective Scientific Discoveri...

引用

14th International Conference Management of Large-Scale System Development, MLSD 2021

作者： Raikov, Alexander Laboratory of Modular Data Processing and Control Systems V.A. Trapeznikov Institute of Control Sciences of RAS Moscow Russia

ISBN: (纸本)9781665412308

This paper addresses the acceleration of scientific discoveries by developing logical and cognitive ontologies in a special convergent way that ensures the acceleration and purposefulness of collective scientific discussions. It is noted that modern information systems, which have been created to support scientific activities, focus on information and reference work. They help analyse retrospective data to predict the development of events and reveal hidden relationships in big data and knowledge. At the same time, the known methods of creating ontologies are used to build artificial intelligence (AI) models by explicating the knowledge of experts and big data. It is shown in the paper that modern approaches to creating ontologies excessively reduce non-formalized and uncaused cognitive processes of scientific discoveries such as free will, consciousness, unconsciousness, feelings, thoughts, and experience. Attempts to formalize these processes lead to an incorrect and incomplete replacement of infinite-dimensional and continuous cognitive phenomena by finite-dimensional spaces, digital numbers, and discrete symbols. To compensate for the resulting cognitive distortions, a special approach has been developed to represent convergent scientific creativity processes in AI models more correctly and completely by using the capabilities of hybrid (human-machine) AI, the cognitive semantics of AI models, and the method of inverse problem-solving in topological spaces. The idea of using a nonlocal approach to enrich the cognitive semantics of AI models that considers the subatomic structure of the human mind's biological tissue is also considered. Currently, the proposed approach is successfully used for accelerating collective strategic planning in the real digital economy. © 2021 IEEE.

关键词： Ontology

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Formalized Models and Methods for Building Efficient Digital Information Funds of Intellectual Property 15

Formalized Models and Methods for Building Efficient Digital...

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15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Kulba, Vladimir Sirotyuk, Vladimir V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory Modular Data Processing and Control Systems Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

The goals, objectives and criteria of the effectiveness of the creation, maintenance and use of the Digital Information Fund of Intellectual Property (DIFIP) are considered. A formalized methodology is proposed for designing DIFIPs, increasing its efficiency and quality, based on a set of interconnected models, methods and algorithms for analysis, synthesis and normalization distributed information management of DIFIP's structure;classification of databases users of patent and scientific and technical information;synthesis of optimal logical structures of the DIFIP database and thematic databases;assessing the quality of the database and ensuring the required level of data security. © 2022 IEEE.

关键词： Information management

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Analytical and instrumental framework for the analysis and resolution of stakeholder interest conflict using cognitive maps

Analytical and instrumental framework for the analysis and r...

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2020 International Symposium on Automation, Information and Computing, ISAIC 2020

作者： Avdeeva, Z.K. Kovriga, S.V. Russian Academy Sciences V.A. Trapeznikov Institute of Control Sciences Laboratory of modular data processing and control systems Moscow Russia

The statement of the basic control problem of a situation with many active stakeholders using cognitive maps is presented. Approaches to the analysis and resolution of interest conflicts in such situations based on the basic control problem are proposed. These approaches make it possible to take into account different interests, identify contradictions and, if possible, find ways to overcome these contradictions by choosing different strategies for interaction between stakeholders. The problems systematization of conflict analysis and control in such situations at different phases of the conflict is presented. The systematization purpose is to organize monitoring, analysis and control of conflict situations using cognitive maps and scenario modeling tools based on them. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Cognitive systems

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A Model of the Russia's Agriculture Readiness for Digital Transformation 13

A Model of the Russia's Agriculture Readiness for Digital Tr...

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13th International Conference Management of Large-Scale System Development, MLSD 2020

作者： Kulba, Vladimir Medennikov, Viktor V.A. Trapeznikov Institute of Control Sciences of Ras Laboratory of Modular Data Processing and Control Systems Moscow Russia Federal Research Center "computer Science and Control" of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia

ISBN: (纸本)9781728110943

The paper discusses the problems of the effective implementation of digital technology in Russia's agriculture and how to solve the same by comprehensive and integrative methods. We present a mathematical model of Russia's agricultural readiness for digital transformation. We consider the results of calculating several development scenarios of the sector digitalization. © 2020 IEEE.

关键词： Agriculture

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Integration of Earth Remote Sensing data on the Digital Platform of Russian Agriculture 7

Integration of Earth Remote Sensing Data on the Digital Plat...

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7th IEEE International Conference on Information Technology and Nanotechnology, ITNT 2021

作者： Medennikov, Victor Raikov, Alexander Federal Research Center 'Informatics and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia Laboratory of Modular Data Processing and Control Systems V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781665432177

The paper addresses the state and development trends of Earth remote sensing technologies, which currently are becoming one of the main tools of accelerating the development of precision farming technologies and technologies for improving management in related industries. The authors show that these technologies are developing from the digitalization of elementary operations to the digitalization of the complete complex of all operations based on an architectural approach, end-to-end digital and cloud technologies. The paper proposes a scientific basis for integrating Earth remote sensing data into a single digital platform for agriculture in Russia, substantiated using mathematical and ontological modelling of digital platforms for managing the industry's economy. © 2021 IEEE.

关键词： Agriculture

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Artificial Intelligence and Robots in Agriculture 15

Artificial Intelligence and Robots in Agriculture

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15th International Conference Management of Large-Scale System Development, MLSD 2022

作者： Raikov, Alexander Abrosimov, Vyacheslav Institute of Control Sciences Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia Main Research and Test Interspecific Center for Advanced Weapons of the Ministry of Defense of Russia Moscow Russia

ISBN: (数字)9781665497015

ISBN: (纸本)9781665497015

The article addresses the generalization of modern challenges to agricultural production from robotization and artificial intelligence (AI). The classification of agricultural robots is given for the identification of development trends. It is shown the possibilities of using agricultural robots and AI systems to improve the efficiency of agriculture in the field of crop and livestock production. Approaches to the construction and use of information resources for solving problems of precision farming and animal husbandry are described. The justification is given that agriculture robots are successfully used for solving the problems of complex agrochemical soil survey, recognition of plant diseases, weed, and pest control, cattle feeding, milking, etc. General approaches to the use of agriculture robots in the context of using the Internet are described. Methods and means of AI are considered mainly on examples from the field of animal husbandry, where they are used to diagnose behavior, proactively detect diseases in animals and birds, etc. © 2022 IEEE.

关键词： Disease control

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Management of Scientific Agricultural Digital Ecosystems Based on Ecosystem Classification 16

Management of Scientific Agricultural Digital Ecosystems Bas...

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16th International Conference Management of Large-Scale System Development, MLSD 2023

作者： Kulba, Vladimir Medennikov, Viktor V.A. Trapeznikov Institute of Control Sciences of the Russian Academy of Sciences Laboratory of Modular Data Processing and Control Systems Moscow Russia Federal Research Center 'Computer Science and Control' of the Russian Academy of Sciences Information and Computing Systems Department Moscow Russia

ISBN: (纸本)9798350337907

The paper considers a mathematical model for managing a scientific digital ecosystem exemplified by the agriculture case;the model enables assessing the impact science exerts on the regions' socioeconomic position in order to build an adequate response to the advanced economies' regime of severe sanctions against Russia. For these purposes, a systemic analysis of the subject identification and classification of ecosystems was conducted to address the critical issue of determining the basic concepts and terms of the country's digitalization. © 2023 IEEE.

关键词： Agriculture

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