scholarly journals Artificial Intelligence Development Strategy: Will Russia Achieve a Leading Position in the World?

2020 ◽  
Vol 20 (4) ◽  
pp. 86-94
Author(s):  
V.I. Blanutsa ◽  
Keyword(s):  
Artificial Intelligence ◽  
Development Strategy ◽  
The World ◽  
Leading Position ◽  
Intelligence Development

scholarly journals Prospects for Development of Artificial Intelligence in the Scientific Learning of the World

2019 ◽  
Vol 10 (4) ◽  
Author(s):  
Aleksey Stepanenko ◽  
Diana Stepanenko
Keyword(s):  
Artificial Intelligence ◽  
System Approach ◽  
Systematic Approach ◽  
Scientific Information ◽  
Existing Problems ◽  
The World ◽  
Human Thinking ◽  
Intelligence Development ◽  
Artificial Intelligence Systems ◽  
Scientific Learning

In the process of comprehending the prospects for the artificial intelligence development, the authors come to a conclusion that in the scientific learning of the world the problematic issues of the artificial intelligence are connected with problematic issues of recognizing the artificial intelligence systems and ordinary human thinking The article performs an analysis of the concepts of «intelligence» and «artificial intelligence», in the process of which the intelligence is viewed through a systematic approach in its broad sense. The purpose of the article is to present a number of conclusions about the levels of development of scientific studies of the problems under investigation, is there any reason to argue that attempts to implement the epistemological characteristics of thinking in modern artificial intelligence systems have not only been undertaken but also successful, and whether is it possible to talk about full transfer of the intellectual functions to the technical systems, endowing them with epistemological tools (in the context of the discussion about strong and weak versions of the artificial intelligence). The authors study the concept of «phenomenology of intelligence», the perception of intelligence in various historical eras by famous philosophers and scientists of other branches of knowledge; they identify the artificial intelligence as a special branch of science, analyze the existing problems in this field. In writing the article, they use the system approach, the theoretical analysis of and generalization of the scientific information, the historical, predicted, critical and dialectical methods of investigation.

scholarly journals Research on the Social Impact of Artificial Intelligence and Government’s Coping Strategies

2020 ◽  
pp. 114-123
Author(s):  
Weili Tian
Keyword(s):  
Artificial Intelligence ◽  
Social Life ◽  
Social Impact ◽  
Rapid Development ◽  
Human Society ◽  
Chinese Media ◽  
New Era ◽  
The World ◽  
The Face ◽  
Intelligence Development

“Artificial intelligence” is one of the most popular buzzwords in the society at present, and was selected as the “Top Ten Chinese Media Popularity in 2017”. Human society is gradually entering a new era of artificial intelligence. Artificial intelligence is not just a scientific and technological innovation, but will bring about a big change in social life. As the State Council’s “New Generation Artificial Intelligence Development Plan” pointed out: “The rapid development of artificial intelligence will profoundly change human social life and change the world.” In the face of the new situation in the new era, governments at all levels must take the initiative to seek change and change, firmly grasp the major historical opportunities for the development of artificial intelligence, keep abreast of development, research and judge the general trend, actively plan, grasp the direction, seize the opportunities, and lead the world in the development of artificial intelligence. The trend, serving economic and social development and supporting national security, drives the overall leap and leapfrog development of national competitiveness.

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

Dirk J. Wolfson. Public Finance and development Strategy. Baltimore: The Johns Hopkins University Press. 1979. Pp. xiv+264.

1982 ◽  
Vol 21 (3) ◽  
pp. 255-257
Author(s):  
Zafar Mahmood
Keyword(s):  
Public Finance ◽  
Economic Policy ◽  
Public Administration ◽  
Development Strategy ◽  
Executive Branch ◽  
Policy Makers ◽  
Use Of Resources ◽  
Johns Hopkins University ◽  
The World ◽  
Economic Council

The world in its politico-economic aspects is run by policy-makers who have an academic background in law or public administration or other related social disciplines including economics. Only rarely would a majority of the policy-makers be trained in economics. In the making of economic policy, the basic choices before the policy-makers are political and they transcend the narrow concerns of economists regarding optimal use of resources. These considerations in no way downgrade the relevance of economic analysis in economic policy-making and for the training of policy-maker in economics. Policy-makers need economic council to understand fully the implications of alternative policy options. In this book, Wolfson attempts to educate policy-makers in the areas of public finance and development strategy. The analysis avoids technicalities and is kept to a simple level to make it understandable to civil servants, law-makers and members of the executive branch whom Wolfson refers to as policy-makers. Simplicity of analysis is not the only distinguishing mark of this book. Most other books on public finance are usually addressed to traditional public finance issues relating to both the revenue and expenditure sides of the budget and neglect an overall mix of issues dealing with the interaction of fiscal policy with economic development. Wolfson in this book explicitly deals with these issues.

PROSPECTS FOR THE DEVELOPMENTOF MILITARY-POLITICAL COOPERATION OF THE COUNTRIESOF THE POST-SOVIET SPACE

2020 ◽  
Author(s):  
U.S. ALIYEV
Keyword(s):  
Development Strategy ◽  
World Order ◽  
World Politics ◽  
Eurasian Economic Union ◽  
Security Treaty ◽  
Political Cooperation ◽  
The World ◽  
Soviet Space ◽  
Economic Union ◽  
Post Soviet Space

In the context of the formation of a new world order, there is a need to make changes to the development strategy of the Eurasian Economic Union and, even more broadly, integration processes in the post-Soviet space. These changes should take into account the changes taking place in the world, the emergence of new properties of world politics, which are often generically called turbulence. The components of turbulence are conflictness and uncertainty, but this is not the whole list, there are other components. On the example of the Transnistrian conflict settlement, it is shown that success in this process is possible if we are not confined to the conflict itself, but we act on the basis of Russias and the European Unions mutual desire to reduce conflictness in the world and in the European region. Uncertainties can be contrasted with the emergence of military-political factor as the leading one of Eurasian integration in the form of rapprochement and the gradual merger of the Eurasian Economic Union and the Collective Security Treaty Organization.

The Future of Work and the Changing Workplace

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
Machine Intelligence ◽  
Political Issue ◽  
Digital Innovation ◽  
Future Of Work ◽  
The Past ◽  
The World ◽  
Public Debates ◽  
The Future ◽  
Market Opportunities

The world of work has been impacted by technology. Work is different than it was in the past due to digital innovation. Labor market opportunities are becoming polarized between high-end and low-end skilled jobs. Migration and its effects on employment have become a sensitive political issue. From Buffalo to Beijing public debates are raging about the future of work. Developments like artificial intelligence and machine intelligence are contributing to productivity, efficiency, safety, and convenience but are also having an impact on jobs, skills, wages, and the nature of work. The “undiscovered country” of the workplace today is the combination of the changing landscape of work itself and the availability of ill-fitting tools, platforms, and knowledge to train for the requirements, skills, and structure of this new age.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

scholarly journals Representations, Affordances, and Interactive Systems

2021 ◽  
Vol 5 (5) ◽  
pp. 23
Author(s):  
Robert Rowe
Keyword(s):  
Artificial Intelligence ◽  
Cognitive Science ◽  
Data Structures ◽  
Digital Computer ◽  
Mental Representations ◽  
Interactive Systems ◽  
Algorithmic Composition ◽  
The World ◽  
History Of

The history of algorithmic composition using a digital computer has undergone many representations—data structures that encode some aspects of the outside world, or processes and entities within the program itself. Parallel histories in cognitive science and artificial intelligence have (of necessity) confronted their own notions of representations, including the ecological perception view of J.J. Gibson, who claims that mental representations are redundant to the affordances apparent in the world, its objects, and their relations. This review tracks these parallel histories and how the orientations and designs of multimodal interactive systems give rise to their own affordances: the representations and models used expose parameters and controls to a creator that determine how a system can be used and, thus, what it can mean.

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