The development of oil companies in the light of the evolution of digital platforms

2021 ◽  
pp. 118-127
Author(s):  
A. Bryntsev ◽  
A. Subbotin ◽  
S. Gribanov
Keyword(s):  
Artificial Intelligence ◽  
Expert Systems ◽  
Legal Framework ◽  
Digital Economy ◽  
Practical Application ◽  
Digital Platforms ◽  
Oil Companies ◽  
Conceptual Apparatus

In the article, the authors consider the formation and development of domestic digital platforms for the country's oil companies based on artificial intelligence. A brief analysis of the modern legal framework, which determines the priorities for the formation of the digital economy, is given, and the economic essence of the conceptual apparatus describing AI is revealed. Variants of practical application of expert systems of artificial intelligence are proposed.

scholarly journals Economic and legal aspects of the innovative activity of enterprises in the context of the digital economy

2021 ◽  
Vol 34 (02) ◽  
pp. 964-972
Author(s):  
Olga Vladimirovna Markova ◽  
Ekaterina Yevgenievna Listopad ◽  
Aleksandr Vladimirovich Shelygov ◽  
Alexander Grigorievich Fedorov ◽  
Igor Valentinovich Kiselevich
Keyword(s):  
Artificial Intelligence ◽  
Internal Control ◽  
Information Technologies ◽  
Self Regulation ◽  
Legal Framework ◽  
Legal Aspects ◽  
Digital Economy ◽  
Innovative Activity ◽  
Control Measures ◽  
External Threats

The article deals with the economic and legal aspects of the innovative activity of enterprises in the context of the digital economy. The authors have established that the innovative activity of enterprises includes also the development of artificial intelligence and robotics and that in the current conditions when creating and using artificial intelligence technologies, the issue of ensuring national security in the digital environment becomes extremely important. In this case, the strategic goal of ensuring information security is to protect the vital interests of the individual and society against internal and external threats associated with the application of information technologies for various purposes contrary to civil law. It is proved that innovations will increase the investment attractiveness of the business, maintain a balance of creative freedom and internal control measures, self-regulation in the field of digital technologies, and develop a unified legal framework in the economic space.

Finding Cost-Effective Applications for Expert Systems

1993 ◽  
Vol 115 (1) ◽  
pp. 56-61
Author(s):  
P. J. Hartman
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Expert Systems ◽  
Processing Speed ◽  
Development Process ◽  
Cost Effective ◽  
Risk Assessments ◽  
Problem Complexity ◽  
Practical Application ◽  
The Right

Expert systems are one of the few areas of artificial intelligence which have successfully made the transition from research and development to practical application. The key to fielding a successful expert system is finding the right problem to solve. AI costs, including all the development and testing, are so high that the problems must be very important to justify the effort. This paper develops a systematic way of trying to predict the future. It provides robust decision-making criteria, which can be used to predict the success or failure of proposed expert systems. The methods focus on eliminating obviously unsuitable problems and performing risk assessments and cost evaluations of the program. These assessments include evaluation of need, problem complexity, value, user experience, and the processing speed required. If an application proves feasible, the information generated during the decision phase can be then used to speed the development process.

scholarly journals Knowledge Discovery from Medical Data and Development of an Expert System in Immunology

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 695
Author(s):  
Małgorzata Pac ◽  
Irina Mikutskaya ◽  
Jan Mulawka
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Discovery ◽  
Experimental Verification ◽  
Medical Data ◽  
Practical Application ◽  
Wide Range ◽  
Bruton’S Disease

Artificial intelligence is one of the fastest-developing areas of science that covers a remarkably wide range of problems to be solved. It has found practical application in many areas of human activity, also in medicine. One of the directions of cooperation between computer science and medicine is to assist in diagnosing and proposing treatment methods with the use of IT tools. This study is the result of collaboration with the Children’s Memorial Health Institute in Warsaw, from where a database containing information about patients suffering from Bruton’s disease was made available. This is a rare disorder, difficult to detect in the first months of life. It is estimated that one in 70,000 to 90,000 children will develop Bruton’s disease. But even these few cases need detailed attention from doctors. Based on the data contained in the database, data mining was performed. During this process, knowledge was discovered that was presented in a way that is understandable to the user, in the form of decision trees. The best models obtained were used for the implementation of expert systems. Based on the data introduced by the user, the system conducts expertise and determines the severity of the course of the disease or the severity of the mutation. The CLIPS language was used for developing the expert system. Then, using this language, software was developed producing six expert systems. In the next step, experimental verification was performed, which confirmed the correctness of the developed systems.

scholarly journals The European Union’s Toolkit for the Regulation of the Digital Economy (analytical review)

2021 ◽  
Vol 16 (3) ◽  
pp. 256-272
Author(s):  
Irina Popova ◽  
Keyword(s):  
Foreign Policy ◽  
Policy Instruments ◽  
Personal Data ◽  
Legal Framework ◽  
Digital Economy ◽  
Development Aid ◽  
The European Union ◽  
Data Governance ◽  
International Regulation ◽  
Digital Platforms

The European Union (EU) is trying to increase its influence on the international regulation of the digital economy through domestic and foreign policy initiatives. The EU’s digital strategy, adopted in 2020, envisages measures to further consolidate the single digital market and promote EU standards and regulation internationally. The main goal of the strategy is to ensure the EU’s digital sovereignty. This objective is at the core of policy measures in three priority areas: the elimination of remaining barriers in the internal market, the development of advanced technologies, and the safeguarding of the rights, freedoms and development of democracy in Europe. These three strategic priorities determine sectoral policies: 5/6G development, high performing computers, regulation of digital markets and platforms, cybersecurity, and data governance. The EU uses regulatory, economic, institutional, networking, and foreign policy instruments and mechanisms to achieve its objectives in specific policy areas. Regulation includes further raising standards for personal data protection and consumer rights, control over digital platforms, laying down a legal framework for the development of cutting-edge technologies, attracting investments, and allocating the EU’s own resources to potentially occupy niches in international markets in the future, all of which will strengthen the EU’s claim to leadership in regulating the digital economy and ensure its digital sovereignty. Foreign policy mechanisms are an important part of the toolkit and include a developed European diplomacy, established ties through the Neighbourhood Policy, and the conditionality of development aid.

Legal framework for improvement of agroecology by cultivating jerusalem artichoke

2020 ◽  
pp. 59-66
Author(s):  
Mykhailo Kosmii ◽  
Vasyl. Kasiianchuk ◽  
Ruslan Zhyrak ◽  
Ivan Krykhovetskyi
Keyword(s):  
Environmental Protection ◽  
Organic Farming ◽  
Alternative Energy ◽  
Building Materials ◽  
Environmental Law ◽  
Jerusalem Artichoke ◽  
Legal Framework ◽  
Legal Regulation ◽  
Practical Application ◽  
Scientific Cognition

The purpose of this paper is to analyze and research the legal mechanisms which make it possible to improve agroecology through the organization of cultivation of Jerusalem artichoke.Methodology. The methodology includes comprehensive analysis and generalization of available scientific, theoretical, practical and applied material and development of relevant conclusions and recommendations. During the research, the following methods of scientific cognition were used: dialectical, terminological, historical and legal, logical and normative, systemic and structural, functional, normative and dogmatic, generalization methods. Results. The process of analysis and research highlighted the possibilities of cultivating Jerusalem artichoke for improving agroecology, namely improving the ecological state of the atmosphere air and soil, preparing them for organic farming. The article contains examples of practical application of tubers of Jerusalem artichoke and herbage for the production of therapeutic and prophylactic products, alternative energy and highly efficient building materials. Scientific novelty. The study found that the authors summarized and systematized the levels of legal regulation in the field of using Jerusalem artichoke for improving agroecology, preparing soil for organic farming, in particular: the inter-sectoral level which covers the interaction of agricultural and environmental law in terms of cultivation and use of Jerusalem artichoke; the level of integrated environmental and legal regulation; level of individual resource (floristic) legal regulation; the level of environmental protection (anthropoprotection) legislation.Practical importance. The results of the study can be used in law-making and environmental protection activities related to issues of cultivating and using the Jerusalem artichoke as a means of improving agroecology.

SISTEM PAKAR MENDIAGNOSA VIRUS MAYORA DENGAN METODE VARIABLE CENTERED INTELLIGENT RULE SYSTEM (VCIRS)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Siti Nurhena ◽  
Nelly Astuti Hasibuan ◽  
Kurnia Ulfa
Keyword(s):  
Artificial Intelligence ◽  
Immune System ◽  
Expert System ◽  
Expert Systems ◽  
Dengue Hemorrhagic Fever ◽  
Hemorrhagic Fever ◽  
Visual Basic ◽  
Artificial Intelligence Techniques ◽  
Individual Needs ◽  
Rule System

The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms. Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms. With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)The diagnosis process is the first step to knowing a type of disease. This type of disease caused by mosquitoes is one of the major viruses (MAVY), dengue hemorrhagic fever (DHF) and malaria. Sometimes not everyone can find the virus that is carried by this mosquito, usually children who are susceptible to this virus because the immune system that has not been built perfectly is perfect. To know for sure which virus is infected by mosquitoes, it can diagnose by seeing symptoms perceived symptoms.Expert systems are one of the most used artificial intelligence techniques today because expert systems can act as consultations. In this case the authors make a system to start a diagnosis process with variable centered intelligent rule system (VCIRS) methods through perceived symptoms.With the facilities provided for users and administrators, allowing both users and administrators to use this system according to their individual needs. This expert system is made with the Microsoft Visual Basic 2008 programming language.Keywords: Expert System, Mayora Virus, Variable Centered Intelligent Rule System (VCIRS)

O Direito do Trabalho (des)conectado nas plataformas digitais

2019 ◽  
Vol 4 (1) ◽  
pp. 246-266
Author(s):  
Murilo Carvalho Sampaio Oliveira
Keyword(s):  
Social Relationships ◽  
Business Model ◽  
Economic Condition ◽  
Labor Law ◽  
Sharing Economy ◽  
Digital Economy ◽  
Business Activity ◽  
Digital Platforms ◽  
The Impact ◽  
Conditions Of Work

RESUMO:Este artigo trata dos impactos das plataformas digitais no Direito do Trabalho, tomando como exemplo sintomático o padrão da plataforma Uber. Inicia discutindo o cenário da economia digital e suas transformações nos modos de organizar a atividade empresarial, caracterizando a disrupção destas tecnologias e examinando criticamente se tais inovações situam-se realmente no discurso de economia do compartilhamento. Adiante, aborda as condições fáticas das plataformas de trabalho, questionando a dimensão formal-jurídica de liberdade e a condição econômica de hipossuficiência. Examina o caso da Uber como paradigma do modelo de organização empresarial desta economia digital e a situação dos seus motoristas tidos como parceiros para, ao final, pontuar algumas conclusões a cerca da necessidade do Direito Trabalho estar conectado com essas novas relações sociaisABSTRACT:This article deals with the impact of digital platforms in Labor Law, taking as a symptomatic example the standards of the Uber platform. It begins by discussing the the digital economy scenario and its transformations in the way business activity organize itself, characterizing the disruption of these technologies and critically examining whether such innovations are really part of the sharing economy speech. Hereinafter, it addresses the factual conditions of work platforms, questioning the formal-legal dimension of freedom and the economic condition of hypo-sufficiency. It examines the case of Uber as a paradigm of a business model organization in the digital economy and the situation of its drivers, taken as partners in order to, in the end of it, point some conclusions about the need of Labor Law to be connected with these new social relationships.

Principles of induction and approaches to attribute based induction

1991 ◽  
Vol 6 (4) ◽  
pp. 307-333 ◽  
Author(s):  
G. Kalkanis ◽  
G. V. Conroy
Keyword(s):  
Artificial Intelligence ◽  
Pattern Recognition ◽  
Cognitive Psychology ◽  
Expert Systems ◽  
Basic Principles ◽  
Inductive Approach ◽  
Induction Process

AbstractThis paper presents a survey of machine induction, studied mainly from the field of artificial intelligence, but also from the fields of pattern recognition and cognitive psychology. The paper consists of two parts: Part I discusses the basic principles and features of the machine induction process; Part II uses these principles and features to review and criticize the major supervised attribute-based induction methods. Attribute-based induction has been chosen because it is the most commonly used inductive approach in the development of expert systems and pattern recognition models.

Seven Things Every Trainer Must Know about Artificial Intelligence

1991 ◽  
Vol 20 (2) ◽  
pp. 153-156
Author(s):  
Mahima Ranjan Kundu
Keyword(s):  
Artificial Intelligence ◽  
Expert Systems ◽  
Business Management ◽  
Human Mind ◽  
Educational Programs ◽  
Training Environment ◽  
Training And Education ◽  
Training Systems ◽  
Potential Benefits

This article provides information about the prospects and limitations of the Artificial Intelligence and Expert Systems as they relate to training systems and educational programs. The article describes the potential benefits of expert systems and how it can be gainfully employed in training environment, industry, and business management to perform complex jobs. The limitations of the applications of the Artificial Intelligence are discussed as some tend to believe that human mind and computers think alike and AI machines can function like a real expert in every aspect of training and education.

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