Gamification as a Tool for Supporting Artificial Intelligence Development – State of Art

2020 ◽  
pp. 313-324
Author(s):  
Zornitsa Yordanova
Keyword(s):  
Artificial Intelligence ◽  
Development State ◽  
Intelligence Development ◽  
State Of Art

A CRITICAL REVIEW ON LEAN GREEN PRODUCT DEVELOPMENT: STATE OF ART AND PROPOSED CONCEPTUAL FRAMEWORK

2019 ◽  
Vol 18 (11) ◽  
pp. 2319-2333 ◽  
Author(s):  
Marina Bouzon ◽  
Rosania Monteiro Coutinho ◽  
Paula Santos Ceryno ◽  
Lucila Maria de Souza Campos
Keyword(s):  
Product Development ◽  
Conceptual Framework ◽  
Critical Review ◽  
Green Product ◽  
Green Product Development ◽  
Development State ◽  
State Of Art

scholarly journals Artificial Intelligence and the Internet of Things in Industry 4.0

2021 ◽  
Author(s):  
Petar Radanliev ◽  
David De Roure ◽  
Razvan Nicolescu ◽  
Michael Huth ◽  
Omar Santos
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Leading Industry ◽  
Key Technologies ◽  
The Internet Of Things ◽  
State Of Art ◽  
Social Level

AbstractThis paper presents a new design for artificial intelligence in cyber-physical systems. We present a survey of principles, policies, design actions and key technologies for CPS, and discusses the state of art of the technology in a qualitative perspective. First, literature published between 2010 and 2021 is reviewed, and compared with the results of a qualitative empirical study that correlates world leading Industry 4.0 frameworks. Second, the study establishes the present and future techniques for increased automation in cyber-physical systems. We present the cybersecurity requirements as they are changing with the integration of artificial intelligence and internet of things in cyber-physical systems. The grounded theory methodology is applied for analysis and modelling the connections and interdependencies between edge components and automation in cyber-physical systems. In addition, the hierarchical cascading methodology is used in combination with the taxonomic classifications, to design a new integrated framework for future cyber-physical systems. The study looks at increased automation in cyber-physical systems from a technical and social level.

scholarly journals ENVIRONMENTAL DIVERSIFICATION POLICY IN THE MUNICIPAL TRANSPORT MANAGEMENT SYSTEM

2019 ◽  
pp. 4-14
Author(s):  
Grygorii Monastyrskyi ◽  
Olena Borysiak ◽  
Andrii Kotsur
Keyword(s):  
Artificial Intelligence ◽  
Transport System ◽  
Management System ◽  
Management Policy ◽  
Electric Cars ◽  
Ecological Diversification ◽  
Smart Specialization ◽  
Intelligence Development ◽  
Transport Management ◽  
Ecological Types

The article is devoted to deepening of research the using of ecological types of transport in cities. Climate change, urbanization and increased mobility of the people are the basis for improvement of municipal transport management policy. The international experience of using of different types of transport on the basis of municipal ecology and the using of “smart” technologies is explored in the article. The diversification of transport and the increasing of popularity of ecological types of transport (trams, trains, bicycles, electric cars, etc.) are investigated. As a result, the using of ecological diversification policy in the municipal transport management system is proposed. The essence of the implementation of such policy is to approve the principles of sustainable development of the transport system, municipal ecology by promoting the ecological types of transport (bicycles, scooters, electric cars, trams, trains, etc.), taking into account the trends of artificial intelligence development and possibilities of smart specialization of the transport system. In addition, the ecological diversification policy predicts inclusion of the trends of artificial intelligence development and the possibilities of smart specialization in the transport system. The correlation assessment of the dynamic of transport using and the level of carbon dioxide emissions of transport in Ukraine were conducted. In the context of the research of features of the implementation of ecological diversification policy in the municipal transport management system, the prospects for the development of bicycle transport and bicycle tourism, the assessment of supply and demand for ecological types of transport, the development of the energy service market for ecological types of transport in the municipal transport management system were established.

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.

FEATURES AND TRENDS IN THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE

2021 ◽  
Vol 3 (5) ◽  
pp. 130-134
Author(s):  
E. A. ULANOV ◽  
Keyword(s):  
Artificial Intelligence ◽  
Modern Science ◽  
Robotic Technology ◽  
Special Area ◽  
Analytical System ◽  
Intelligence Development

The scale of the tasks being solved has turned AI into a special area of modern science. AI is a branch of science that studies ways to train a computer, robotic technology, or analytical system to think intelligently. The article reveals the essence and concept of artificial intelligence. The main features, problems, trends and prospects of artificial intelligence development are analyzed.

Artificial Intelligence and Education

2011 ◽  
pp. 138-143
Author(s):  
Eduardo Sánchez ◽  
Manuel Lama
Keyword(s):  
Artificial Intelligence ◽  
Work Environment ◽  
Learning Strategies ◽  
Learning Processes ◽  
Educational Systems ◽  
Graduate Degrees ◽  
Life Long Learning ◽  
Key Factor ◽  
State Of Art ◽  
Educational Costs

Governments and institutions are facing the new demands of a rapidly changing society. Among many significant trends, some facts should be considered (Silverstein, 2006): (1) the increment of number and type of students; and (2) the limitations imposed by educational costs and course schedules. About the former, the need of a continuous update of knowledge and competences in an evolving work environment requires life-long learning solutions. An increasing number of young adults are returning to classrooms in order to finish their graduate degrees or attend postgraduate programs to achieve an specialization on a certain domain. About the later, due to the emergence of new types of students, budget constraints and schedule conflicts appear. Workers and immigrants, for instance, are relevant groups for which educational costs and job incompatible schedules could be the key factor to register into a course or to give up a program after investing time and effort on it. In order to solve the needs derived from this social context, new educational approaches should be proposed: (1) to improve and extend the online learning courses, which would reduce student costs and allows to cover the educational needs of a higher number of students, and (2) to automate learning processes, then reducing teacher costs and providing a more personalized educational experience anytime, anywhere. As a result of this context, in the last decade an increasing interest on applying computer technologies in the field of Education has been observed. On this regard, the paradigms of the Artificial Intelligence (AI) field are attracting an special attention to solve the issues derived from the introduction of computers as supporting resources of different learning strategies. In this paper we review the state-of-art of the application of Artificial Intelligence techniques in the field of Education, focusing on (1) the most popular educational tools based on AI, and (2) the most relevant AI techniques applied on the development of intelligent educational systems.

Applications of artificial intelligence in the apparel industry: a review

2011 ◽  
Vol 81 (18) ◽  
pp. 1871-1892 ◽  
Author(s):  
ZX Guo ◽  
WK Wong ◽  
SYS Leung ◽  
Min Li
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Apparel Industry ◽  
Apparel Design ◽  
Research Issues ◽  
Chain Management ◽  
Research Challenges ◽  
State Of Art

This paper presents a systematic review on the state-of-art of artificial intelligence (AI) applications in the apparel industry. The existing literature is reviewed based on different research issues and AI-based methodologies. The research issues are categorized into four categories on the basis of the operation processes of the apparel industry, including apparel design, manufacturing, retailing, and supply chain management. This paper shows that research on AI applications in the apparel industry is still limited by analyzing the limitations of previous studies and research challenges. Finally, suggestions for further studies are offered.

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