scholarly journals Artificial Intelligence in Politics, Media and Public Administration: Reflections on the Thematic Portfolio

2020 ◽  
Vol 4 (2) ◽  
pp. 3-9
Author(s):  
Sergey Fedorchenko
Keyword(s):  
Artificial Intelligence ◽  
Political Science ◽  
Public Administration ◽  
Soft Power ◽  
Intelligent Systems ◽  
New Technologies ◽  
Scientific Discourse ◽  
Political Regime ◽  
Political Agenda ◽  
The Political

The issue «Artificial Intelligence in the Sphere of Politics, Media Space and Public Administration» was conceived after updating the topic of artificial intelligence in the socio-political and value sphere at several scientific events organized by the Department of History, Political Science and Law of Moscow Region State University: Scientific and Public Forum «Values and artificial intelligence» (10.11.2019) and the round table «Ethics and artificial intelligence» (04.16.2019). This issue includes works devoted to the issues of the practice of artificial intelligence in public administration, public policy and other fields. The authors also touched on the nuances of scientific discourse and futorology. The compiler of the issue is Candidate of Political Sciences, associate professor Fedorchenko Sergey Nikolaevich. Artificial intelligence technologies are a pretty debatable topic. Artificial intelligence technologies are a pretty debatable topic. Currently, political leaders, scientists and members of the public are actively discussing the problems of artificial intelligence related to the following aspects: new opportunities for political communication; media policy, mediation of the political sphere; axiological policy; social networks, bots; government departments; opportunities and limitations of new technologies in political analysis; the importance of intelligent systems for democracy and democratic procedures; threats of cyber autocracy; legitimacy of the political regime and national security; political values, political propaganda, frames, political myths, stereotypes, «soft power», «smart power»; digital diplomacy; the risks of media manipulation, information wars, the formation of a political agenda; experience of using intelligent systems in the organization of high-quality communication between society and the state. The theme of the issue is extremely relevant for modern academic political science. artificial intelligence, digitalization, political science, scientific discourse, futorology, state, democracy, manipulation, political communications. The issue is aimed at specialists, political scientists, graduate students and all those who are interested in this difficult issue in an interdisciplinary manner.

scholarly journals Digital and Intelligent Public Administration: transformations in the era of artificial intelligence

2018 ◽  
Vol 18 (71) ◽  
pp. 55-87 ◽  
Author(s):  
Juan Gustavo Corvalán
Keyword(s):  
Artificial Intelligence ◽  
Public Administration ◽  
Information And Communication Technologies ◽  
Industrial Revolution ◽  
New Technologies ◽  
Technological Development ◽  
Digital Era ◽  
Challenges And Opportunities ◽  
Information And Communication ◽  
The Impact

This article addresses the impact of the digital era and it specifically refers to information and communication technologies (ICT) in Public Administration. It is based on the international approach and underscores the importance of incorporating new technologies established by the United Nations and the Organization of American States. Thereon, it highlights the Argentine Republic national approach towards ICT, and how it has moved towards a digital paradigm. It then emphasizes on the challenges and opportunities that emerge from the impact that artificial intelligence has in transforming Public Administration. Finally, it concludes that the key challenge of the Fourth Industrial Revolution is to achieve a boost towards a Digital and Intelligent Administration and government, which promotes the effectiveness of rights and an inclusive technological development that assures the digital dignity of people.  

scholarly journals The evolution of nonlinear dynamics in political science and public administration: Methods, modeling and momentum

2000 ◽  
Vol 5 (4) ◽  
pp. 265-279 ◽  
Author(s):  
L. Douglas Kiel
Keyword(s):  
Nonlinear Dynamics ◽  
Political Science ◽  
Public Administration ◽  
20Th Century ◽  
Continuous Time ◽  
The Political ◽  
Nonlinear Dynamical ◽  
Current State ◽  
Administration Methods

This paper examines the evolution of the application of nonlinear dynamics and related methods to the study of political science and public administration throughout the 20th century. Some analysts understood the importance of nonlinearity to political and administrative studies in the early part of the century. More recently, a growing number of scholars understand that the political and administrative worlds are ripe with nonlinearity and thus amenable to nonlinear dynamical techniques and models. The current state of the application of both discrete and continuous time models in political science and public administration are presented. There is growing momentum in political and public administration studies that may serve to enhance the realism and applicability of these sciences to a nonlinear world.

scholarly journals Accounting Practice and Intelligent Technologies

2012 ◽  
Author(s):  
Daniela Postolache (Males)
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Technology Management ◽  
Intelligent Systems ◽  
New Technologies ◽  
Accounting Information ◽  
Qualitative Approach ◽  
Information Technology Management ◽  
Accounting Practice ◽  
Area Of Interest

was to determine how intelligent technologies can support accounting practice. Our research allowed for establishment of accounting information intelligent systems typology and for placement of these solutions in the sphere of artificial intelligence applications. It is underlined the intelligent technologies contribution to improve accounting processes and activities, in a qualitative approach, from the hermeneutic perspective. The results of our research are useful for researchers in the fields of applied accounting, intelligent systems for accounting, information technology management. Also, our study is useful in the activity of accounting experts, given the presentation of new technologies used in their area of interest.

scholarly journals Metateoretyczne uwagi do koncepcji polityczności Chantal Mouffe w kontekście jej ideologicznych uwikłań

2017 ◽  
Vol 22 ◽  
pp. 53-74
Author(s):  
Kamil Minkner
Keyword(s):  
Political Science ◽  
Scientific Discourse ◽  
Cognitive Status ◽  
Conflict Theory ◽  
The Political ◽  
Theoretical Argument ◽  
Cognitive Value ◽  
Chantal Mouffe

Metatheoretical comments on Chantal Mouffe’s conception of the political in the context of its ideological implicationsThe article contains the thesis that in political science theories a scientific, ideological and philosophical components are so fused that it is impossible to separate them completely. For this reason, the ideological content not only does not undermine the cognitive value of theoretical argument, but even contributes to it — if the relevant criteria are metI think, that the metatheoretical optics is the most appropriate approach to analyse these criteria. It allows not only to describe given theory, but also enables more problematic de­construction of its conditions and cognitive status. In this article the analysis of this type is presented on the example of Chantal Mouffe’s agonistic conflict theory by taking into consideration three following criteria. First, the ontological and epistemological assumptions of this theory are explained. Secondly, vivisection of the structures and forms of reasoning peculiar to the agonistic paradigm is conducted, followed by the examination of the paradigm’s presence in the scientific discourse. Thirdly, the approaches which are both polemical and supportive for the Mouffe’s theory, but representing different intellectual and ideological circles, are presented.

scholarly journals Prediction of a Ship’s Operational Parameters Using Artificial Intelligence Techniques

2021 ◽  
Vol 9 (6) ◽  
pp. 681
Author(s):  
Kiriakos Alexiou ◽  
Efthimios G. Pariotis ◽  
Theodoros C. Zannis ◽  
Helen C. Leligou
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
New Technologies ◽  
Operating Costs ◽  
Maritime Industry ◽  
Data Logging ◽  
K Nearest Neighbor ◽  
Operational Parameters ◽  
Maximum Absolute Error ◽  
Regression Algorithms

The maritime industry is one of the most competitive industries today. However, there is a tendency for the profit margins of shipping companies to reduce due to an increase in operational costs, and it does not seem that this trend will change in the near future. The most important reason for the increase in operating costs relates to the increase in fuel prices. To compensate for the increase in operating costs, shipping companies can either renew their fleet or try to make use of new technologies to optimize the performance of their existing one. The software structure in the maritime industry has changed and is now leaning towards the use of Artificial Intelligence (AI) and, more specifically, Machine Learning (ML) for calculating its operational scenarios as a way to compensate the reduction of profit. While AI is a technology for creating intelligent systems that can simulate human intelligence, ML is a subfield of AI, which enables machines to learn from past data without being explicitly programmed. ML has been used in other industries for increasing both availability and profitability, and it seems that there is also great potential for the maritime industry. In this paper the authors compares the performance of multiple regression algorithms like Artificial Neural Network (ANN), Tree Regressor (TRs), Random Forest Regressor (RFR), K-Nearest Neighbor (kNN), Linear Regression, and AdaBoost, in predicting the output power of the Main Engines (M/E) of an ocean going vessel. These regression algorithms are selected because they are commonly used and are well supported by the main software developers in the area of ML. For this scope, measured values that are collected from the onboard Automated Data Logging & Monitoring (ADLM) system of the vessel for a period of six months have been used. The study shows that ML, with the proper processing of the measured parameters based on fundamental knowledge of naval architecture, can achieve remarkable prediction results. With the use of the proposed method there was a vast reduction in both the computational power needed for calculations, and the maximum absolute error value of prediction.

scholarly journals Regime and state breakdown: dissolution of the Soviet Union

2020 ◽  
pp. 309-322
Author(s):  
Fei Haiting
Keyword(s):  
Soviet Union ◽  
Political Science ◽  
The State ◽  
Political Elite ◽  
Political Regime ◽  
The Political ◽  
Loss Of Control ◽  
National Interests ◽  
The Soviet Union ◽  
State Breakdown

The mechanism of causality between the breakdown of political regime and the disintegration of a state is an important topic in political science. The dissolution of the Soviet Union is a typical example. The aim of perestroika was the transformation of the political regime by renewing the top elite and inclusion of mass groups in the system of government. The initiators of the reform planned to achieve their goals through the general reconstruction of relations between the CPSU and the Soviet state, the redistribution of power from the party elite to the Soviet one concentrated in the Councils of People’s Deputies at various levels. In practice, the implementation of two reforms at once (distancing the party from the authorities and optimizing governance) led to the split of the entire political elite. The struggle of opposing elite groups for dominance led to the paralysis of state power, the loss of control over what was happening in the country. As a result, the interests of elite groups began to prevail over the national interests and ultimately led to the destruction of the state. Thus the authorsubstantiates the thesis that the destabilization of a regime as a result of the inter-elite struggle leads to the destruction of a state. The problem of elite renewal and consolidation and the transfer powers from the party elite to the state one becomes important.

scholarly journals DIGITAL TRANSFORMATION OF THE MANAGEMENT ORGANIZATIONAL STRUCTURE OF A PRODUCTION ENTERPRISE

2021 ◽  
Vol 23 (2) ◽  
pp. 46-50
Author(s):  
A.V. Ivaschenko ◽  
◽  
T.V. Nikiforova ◽  
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Systems ◽  
New Technologies ◽  
Cyber Physical Systems ◽  
Information Environment ◽  
Organizational System ◽  
Physical Systems ◽  
Optimal Replacement ◽  
Proposed Model ◽  
Digital Enterprise

The article discusses the problem of finding a rational share of artificial intelligence in the organizational system of a manufacturing enterprise. An original formal-logical model of a mixed integrated information environment of a digital enterprise is proposed, which differs from analogues in the possibility of an ontological description of the processes of interaction between personnel and artificial intelligence systems. On the basis of the proposed model, a technique has been developed for the optimal replacement of staffing for cyber-physical systems with artificial intelligence components, which allows balancing the load of human resources and intelligent systems. The proposed developments can be applied in the organization of the production process of enterprises for planning and management, as well as the introduction of new technologies and artificial intelligence. Research results are recommended under the framework of implementation of the concept of Industry 4.0 for modern enterprises of industrial engineering.

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