Need of Computational Intelligence for Post Graduate Students as an Academic Learning

The proper definition of intelligence is not widely known and describable within some selected words till now. There is a great controversy on its definition because generally people have not enough knowledge about it. Computational Intelligence is a subset of Artificial Intelligence and based on particular six approaches. These are Fuzzy Logics, Probabilistic Mechanisms, Natural Swarm Intelligence, Neural Networks and Evolutionary Computing. Traditional artificial intelligence use to develop intelligent systems that require proper and comprehensive information about some task to perform. But numerous real-world systems cannot provide exact and complete information about real-world phenomena. On the other hand, the main concern of Computational intelligence is to design intelligent systems that can be able to make decisions on uncertain or ambiguous information and now this becomes basic future system’s need. Both subjects AI and CI have their own importance, but we can analyze that as future needs more intelligent systems, so it required more work, research, understandings and knowledge for computational intelligence. We conduct a survey and meet results that even students of master’s degrees not even know about the term “computational intelligence”. Therefore, this paper proposed that computational intelligence should be an integral subject of courses as enhancement of artificial intelligence related to at least engineering and computer related fields. It will provide knowledge to students and rise their interest for computational intelligence and encourage them to do work to build more intelligent systems that will be able to deal real word problems in future

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Research Methods to Study and Empower Crowd Workers

10.1093/oso/9780198860679.003.0009 ◽

2021 ◽

pp. 164-184

Author(s):

Saiph Savage ◽

Carlos Toxtli ◽

Eber Betanzos-Torres

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Research Methods ◽

Real World ◽

Intelligent Systems ◽

Quantitative Information ◽

Learning Models ◽

Professional Goals ◽

Career Growth ◽

Machine Learning Models

The artificial intelligence (AI) industry has created new jobs that are essential to the real world deployment of intelligent systems. Part of the job focuses on labelling data for machine learning models or having workers complete tasks that AI alone cannot do. These workers are usually known as ‘crowd workers’—they are part of a large distributed crowd that is jointly (but separately) working on the tasks although they are often invisible to end-users, leading to workers often being paid below minimum wage and having limited career growth. In this chapter, we draw upon the field of human–computer interaction to provide research methods for studying and empowering crowd workers. We present our Computational Worker Leagues which enable workers to work towards their desired professional goals and also supply quantitative information about crowdsourcing markets. This chapter demonstrates the benefits of this approach and highlights important factors to consider when researching the experiences of crowd workers.

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Artificial Excellence - A New Branch of Artificial Intelligence

Global Journal of Computer Science and Technology ◽

10.34257/gjcstdvol21is1pg35 ◽

2021 ◽

pp. 35-41

Author(s):

Satish Gajawada

Keyword(s):

Artificial Intelligence ◽

Literature Review ◽

Computational Intelligence ◽

Evolutionary Computing ◽

Definition Of

"Artificial Excellence" is a new field which is invented in this article. Artificial Excellence is a new field which belongs to Artificial Human Optimization field. Artificial Human Optimization is a sub-field of Evolutionary Computing. Evolutionary Computing is a sub-field of Computational Intelligence. Computational Intelligence is an area of Artificial Intelligence. Hence after the publication of this article, "Artificial Excellence (AE)" will become popular as a new branch of Artificial Intelligence (AI). A new algorithm titled "Artificial Satish Gajawada and Durga Toshniwal Algorithm (ASGDTA)" is designed in this work. The definition of AE is given in this article followed by many opportunitiesin the new AE field. The Literature Review of Artificial Excellence field is shown after showing the definition of Artificial Intelligence. The new ASGDTA Algorithm is explained followed by Results and Conclusions.

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On the Intersection of Artificial Intelligence and Distance Education

Artificial Intelligence Applications in Distance Education - Advances in Mobile and Distance Learning ◽

10.4018/978-1-4666-6276-6.ch001 ◽

2015 ◽

pp. 1-11 ◽

Cited By ~ 2

Author(s):

Utku Kose

Keyword(s):

Artificial Intelligence ◽

Distance Education ◽

Computer Science ◽

Real World ◽

Intelligent Systems ◽

Current Trends ◽

Learning Technique ◽

Technological Developments ◽

E Learning ◽

Oriented Research

In today's world, intelligent systems play an important role in improving humankind's life standards and providing effective solutions for real-world-based problems. In this sense, such intelligent systems are the research outputs of the Artificial Intelligence field in Computer Science. Today, in many fields intelligent systems are widely used to obtain effective and accurate results for the problems encountered. At this point, education is one of the most remarkable fields in which lots of Artificial Intelligence-oriented research works are performed. When we consider the education field in terms of the latest technological developments, we can also see that the e-learning technique and more generally distance education approach are highly associated with the applications of Artificial Intelligence. Therefore, in this chapter the author explores the trends within the interaction between Artificial Intelligence and Distance Education. The chapter is a brief report on current trends of applications of “intelligent distance education” solutions. It also provides a short focus on the future possibilities of the relation of Artificial Intelligence and Distance Education.

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On the Intersection of Artificial Intelligence and Distance Education

Intelligent Systems ◽

10.4018/978-1-5225-5643-5.ch058 ◽

2018 ◽

pp. 1348-1360

Author(s):

Utku Kose

Keyword(s):

Artificial Intelligence ◽

Distance Education ◽

Computer Science ◽

Real World ◽

Intelligent Systems ◽

Current Trends ◽

Learning Technique ◽

Technological Developments ◽

E Learning ◽

Oriented Research

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Selected Papers from ISIS 2007

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2008.p0487 ◽

2008 ◽

Vol 12 (6) ◽

pp. 487-487

Author(s):

G. K. Park ◽

Keyword(s):

Artificial Intelligence ◽

Data Mining ◽

Decision Making ◽

Computational Intelligence ◽

Intelligent Systems ◽

National Park ◽

Special Issue ◽

International Program ◽

Tokyo Institute ◽

Institute Of Technology

The 8th International Symposium on Advanced Intelligent Systems (ISIS 2007), a biennial joint conference between Korea and Japan, focuses on artificial intelligence, intelligent systems, information technology, and their applications. ISIS 2007, held on September 5-8 at Soraksan National Park under the auspices of the Korea Fuzzy Logic and Intelligent Systems Society (KFIS), was attended by 265 researchers, engineers, and other professionals and featured 206 presentations. Of more than 20 papers preliminarily selected and reviewed by the ISIS 2007 International Program Committees, 7 were chosen for the special issue of the Journal of Advanced Computational Intelligence and Intelligent Informatics, centering on advanced intelligent systems including robotics, pattern recognition, data mining, and decision-making systems. The content and conclusions presented in these fine papers should prove both interesting and informative to specialists and generalists alike. I thank the authors and reviewers for their painstaking contributions to this special issue and Prof. Kaoru Hirota of the Tokyo Institute of Technology for inviting me to guest-edit this work.

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Architectural Approach to Design of Emotional Intelligent Systems

Russian Journal of Philosophical Sciences ◽

10.30727/0235-1188-2021-64-1-102-115 ◽

2021 ◽

Vol 64 (1) ◽

pp. 102-115

Author(s):

Alexandra V. Shiller ◽

Oleg E. Petrunya

Keyword(s):

Artificial Intelligence ◽

Intelligent Systems ◽

Von Neumann ◽

Human Likeness ◽

Decision Making Processes ◽

Methodological Problems ◽

Definition Of ◽

Architecture And Design ◽

The Impact ◽

Social And Environmental Risks

Over the past decades, due to the course towards digitalization of all areas of life, interest in modeling and creating intelligent systems has increased significantly. However, there are now a stagnation in the industry, a lack of attention to analog and bionic approaches as alternatives to digital, numerous speculations on “neuro” issues for commercial and other purposes, and an increase in social and environmental risks. The article provides an overview of the development of artificial intelligence (AI) conceptions toward increasing the human likeness of machines: from the key ideas of A. Turing and J. von Neumann, who initiated the digitalization of society, to discussions about the definition of AI and the emergence of conceptions of strong and weak AI. Special attention is paid to the approach of A. Sloman, to ideas about the architecture and design of complex artificial systems are considered, which make it possible to “emotionally” expand the idea of weak/strong AI. In the article's section on the necessity and possibility of incorporating emotions into the architecture of AI, the authors reveal the goals and methodological limitations for creating an emotional artificial agent. In addition, the article briefly presents the main principles of the authors' architectural approach to the creation of emotional intellectual systems on the example of the cognitive-affective model of architecture, which allow modeling the impact of emotions on the cognitive processes involved in decision-making processes. The described architectural approach to modeling intelligent systems can be used as a conceptual basis for discussing and formulating a strategy for the development of neurocomputing, philosophy of artificial intelligence, and experimental philosophy, for developing innovative research programs, formulating and solving theoretical and methodological problems.

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Artificial intelligence as a moving force of improvement and innovative development in education and pedagogic

Informatics and Education ◽

10.32517/0234-0453-2018-33-10-21-30 ◽

2019 ◽

pp. 21-30

Author(s):

M. G. Koliada ◽

T. I. Bugayova

Keyword(s):

Artificial Intelligence ◽

Intelligent Systems ◽

Intelligent System ◽

Interaction Analysis ◽

Educational Data Mining ◽

Main Task ◽

Intellectual System ◽

Will Force ◽

To Come ◽

Artificial Intelligence Systems

The article discusses the history of the development of the problem of using artificial intelligence systems in education and pedagogic. Two directions of its development are shown: “Computational Pedagogic” and “Educational Data Mining”, in which poorly studied aspects of the internal mechanisms of functioning of artificial intelligence systems in this field of activity are revealed. The main task is a problem of interface of a kernel of the system with blocks of pedagogical and thematic databases, as well as with the blocks of pedagogical diagnostics of a student and a teacher. The role of the pedagogical diagnosis as evident reflection of the complex influence of factors and reasons is shown. It provides the intelligent system with operative and reliable information on how various reasons intertwine in the interaction, which of them are dangerous at present, where recession of characteristics of efficiency is planned. All components of the teaching and educational system are subject to diagnosis; without it, it is impossible to own any pedagogical situation optimum. The means in obtaining information about students, as well as the “mechanisms” of work of intelligent systems based on innovative ideas of advanced pedagogical experience in diagnostics of the professionalism of a teacher, are considered. Ways of realization of skill of the teacher on the basis of the ideas developed by the American scientists are shown. Among them, the approaches of researchers D. Rajonz and U. Bronfenbrenner who put at the forefront the teacher’s attitude towards students, their views, intellectual and emotional characteristics are allocated. An assessment of the teacher’s work according to N. Flanders’s system, in the form of the so-called “The Interaction Analysis”, through the mechanism of fixing such elements as: the verbal behavior of the teacher, events at the lesson and their sequence is also proposed. A system for assessing the professionalism of a teacher according to B. O. Smith and M. O. Meux is examined — through the study of the logic of teaching, using logical operations at the lesson. Samples of forms of external communication of the intellectual system with the learning environment are given. It is indicated that the conclusion of the found productive solutions can have the most acceptable and comfortable form both for students and for the teacher in the form of three approaches. The first shows that artificial intelligence in this area can be represented in the form of robotized being in the shape of a person; the second indicates that it is enough to confine oneself only to specially organized input-output systems for targeted transmission of effective methodological recommendations and instructions to both students and teachers; the third demonstrates that life will force one to come up with completely new hybrid forms of interaction between both sides in the form of interactive educational environments, to some extent resembling the educational spaces of virtual reality.

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Toward the Full Inclusion of Muslim Women in the Ummah

American Journal of Islam and Society ◽

10.35632/ajis.v19i4.1916 ◽

2002 ◽

Vol 19 (4) ◽

pp. 68-79 ◽

Cited By ~ 1

Author(s):

Katherine Bullock

Keyword(s):

Specific Problem ◽

Muslim Women ◽

Main Concern ◽

Full Inclusion ◽

Definition Of

This paper outlines some of the challenges that prevent Muslim women from becoming full members of the Ummah. Although we often hear of the rights of"women in ]slam'' in the abstract,1 we must know the specifics to improve the lives of Muslim women in reality. This paper tries to provide those specifics. It does not analyze the items, since the issues covered are many and disparate; rather, it simply highlights some concerns so that qualified practitioners can discuss and debate remedies. The bulk of this paper's main concern is to address some of the obstacles that hamper efforts to alleviate these challenges. The first section presents the list of challenges, while the second section discusses these obstacles. The paper concludes with a series of proposals intended to assuage the listed problems. Therefore, its focus is on more broad-based remedies rather than a specific remedy for a specific problem. The paper's underlying assumptions are that women should be fully included in the Ummah and that this is not the case now. To make this clear, a definition of "full inclusion in the Ummah" is given before the paper proceeds to listing the challenges ...

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Attitudes of Medical Workers Toward Artificial Intelligence in Ophthalmology: A Comparative Survey (Preprint)

10.2196/preprints.18107 ◽

2020 ◽

Author(s):

Weihua Yang ◽

Bo Zheng ◽

Maonian Wu ◽

Shaojun Zhu ◽

Hongxia Zhou ◽

...

Keyword(s):

Artificial Intelligence ◽

Medical Ethics ◽

Online Survey ◽

Medical Professionals ◽

Medical Field ◽

Acceptance Level ◽

Professional Workers ◽

Basic Understanding ◽

Comparative Survey ◽

Definition Of

BACKGROUND Artificial intelligence (AI) is widely applied in the medical field, especially in ophthalmology. In the development of ophthalmic artificial intelligence, some problems worthy of attention have gradually emerged, among which the ophthalmic AI-related recognition issues are particularly prominent. That is to say, currently, there is a lack of research into people's familiarity with and their attitudes toward ophthalmic AI. OBJECTIVE This survey aims to assess medical workers’ and other professional technicians’ familiarity with AI, as well as their attitudes toward and concerns of ophthalmic AI. METHODS An electronic questionnaire was designed through the Questionnaire Star APP, an online survey software and questionnaire tool, and was sent to relevant professional workers through Wechat, China’s version of Facebook or WhatsApp. The participation was based on a voluntary and anonymous principle. The questionnaire mainly consisted of four parts, namely the participant’s background, the participant's basic understanding of AI, the participant's attitude toward AI, and the participant's concerns about AI. A total of 562 participants were counted, with 562 valid questionnaires returned. The results of the questionnaires are displayed in an Excel 2003 form. RESULTS A total of 562 professional workers completed the questionnaire, of whom 291 were medical workers and 271 were other professional technicians. About 37.9% of the participants understood AI, and 31.67% understood ophthalmic AI. The percentages of people who understood ophthalmic AI among medical workers and other professional technicians were about 42.61% and 15.6%, respectively. About 66.01% of the participants thought that ophthalmic AI would partly replace doctors, with about 59.07% still having a relatively high acceptance level of ophthalmic AI. Meanwhile, among those with ophthalmic AI application experiences (30.6%), respectively about 84.25% of medical professionals and 73.33% of other professional technicians held a full acceptance attitude toward ophthalmic AI. The participants expressed concerns that ophthalmic AI might bring about issues such as the unclear definition of medical responsibilities, the difficulty of ensuring service quality, and the medical ethics risks. And among the medical workers and other professional technicians who understood ophthalmic AI, 98.39%, and 95.24%, respectively, said that there was a need to increase the study of medical ethics issues in the ophthalmic AI field. CONCLUSIONS Analysis of the questionnaire results shows that the medical workers have a higher understanding level of ophthalmic AI than other professional technicians, making it necessary to popularize ophthalmic AI education among other professional technicians. Most of the participants did not have any experience in ophthalmic AI, but generally had a relatively high acceptance level of ophthalmic AI, believing that doctors would partly be replaced by it and that there was a need to strengthen research into medical ethics issues of the field.

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Simultaneous heat and mass transfer during evaporation from a film of liquid into the turbulent gas

Collection of Czechoslovak Chemical Communications ◽

10.1135/cccc19820766 ◽

1982 ◽

Vol 47 (3) ◽

pp. 766-775 ◽

Cited By ~ 2

Author(s):

Václav Kolář ◽

Jan Červenka

Keyword(s):

Experimental Data ◽

Mass Transfer ◽

Liquid Film ◽

Heat And Mass Transfer ◽

Driving Forces ◽

Proper Definition ◽

Definition Of ◽

Simultaneous Heat ◽

Theory And Experiment

The paper presents results obtained by processing a series of published experimental data on heat and mass transfer during evaporation of pure liquids from the free board of a liquid film into the turbulent gas phone. The data has been processed on the basis of the earlier theory of mechanism of heat and mass transfer. In spite of the fact that this process exhibits a strong Stefan's flow, the results indicate that with a proper definition of the driving forces the agreement between theory and experiment is very good.

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