Blockchain, black magic and event ontology Interview with Alexander Boldachev

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Alexander Boldachev ◽  
Pavel Baryshnikov
Keyword(s):  
Artificial Intelligence ◽  
Complex Systems ◽  
Biological Evolution ◽  
Semantic Modeling ◽  
Temporal Ontology ◽  
Web 3.0 ◽  
Russian Philosopher ◽  
Event Ontology ◽  
Black Magic ◽  
Logic System

Alexander Boldachev is a Russian philosopher, futurologist (member of the Association of Futurologists of Russia), author of books and articles on universal evolutionism, biological evolution, philosophy of artificial intelligence, temporal ontology, epistemology, and logic. System architect and analyst of blockchain applications, author of articles on the problems of trust technologies, eGovernment, web 3.0, semantic modeling of complex systems, speaker of many specialized conferences.

Optimization of Grease Dispensing Unit Using Fuzzy Logic Algorithm

2016 ◽  
Vol 852 ◽  
pp. 859-866
Author(s):  
Milind Havanur ◽  
A. Arockia Selvakumar
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Process Parameters ◽  
Environmental Conditions ◽  
Fuzzy Logic System ◽  
Automated System ◽  
Factors Affecting ◽  
Fuzzy Logic Algorithm ◽  
Optimal Quantity ◽  
Logic System

Grease dispensing unit is a well invented tool for greasing application which preserves health of operator working and ensures optimal quantity. There are fluctuations in the process of grease dispensing which is dependent on process parameters which make the grease dispensing. The properties of grease vary which depend on environmental conditions. In this paper the modeling of grease dispensing process using artificial intelligence method, fuzzy logic to optimize the flow of grease by considering the factors affecting the flow of grease and usage of automated system for grease dispensing process. The work involves usage of LabVIEW for modeling of fuzzy logic network Based on the results obtained a detailed discussions were made on how to implement the fuzzy logic system for optimization of flow of grease for the existing process. Further, the work also details the future scope of work that can be carried out.

Web 3.0 and E-Learning

2015 ◽  
pp. 101-123 ◽  
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

Web 3.0 and E-Learning

2016 ◽  
pp. 41-62
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

scholarly journals Latent bias and the implementation of artificial intelligence in medicine

2020 ◽  
Vol 27 (12) ◽  
pp. 2020-2023 ◽  
Author(s):  
Matthew DeCamp ◽  
Charlotta Lindvall
Keyword(s):  
Artificial Intelligence ◽  
Clinical Practice ◽  
Complex Systems ◽  
Widespread Implementation

Abstract Increasing recognition of biases in artificial intelligence (AI) algorithms has motivated the quest to build fair models, free of biases. However, building fair models may be only half the challenge. A seemingly fair model could involve, directly or indirectly, what we call “latent biases.” Just as latent errors are generally described as errors “waiting to happen” in complex systems, latent biases are biases waiting to happen. Here we describe 3 major challenges related to bias in AI algorithms and propose several ways of managing them. There is an urgent need to address latent biases before the widespread implementation of AI algorithms in clinical practice.

scholarly journals Intelligence, Artificial Intelligence and Wisdom in the Global Sustainable Information Society

Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 39 ◽  
Author(s):  
Wolfgang Hofkirchner
Keyword(s):  
Artificial Intelligence ◽  
Complex Systems ◽  
Information Society ◽  
Theoretical Concept ◽  
World Society ◽  
Good Society ◽  
Global Challenges ◽  
To Come ◽  
Systems Intelligence ◽  
Society Today

The Global Sustainable Information Society is a theoretical concept describing the vision of a good society in the age of global challenges. Globality, sustainability and informationality are understood in an innovative way as essential features of a world society to come that is capable of mastering the global challenges. Regarding informationality, the distinction between informedness and informatisation is made and a law of requisite information is introduced. The terms “intelligence”, “Artificial Intelligence” (AI) and “wisdom” are discussed from the perspective of complex systems. Intelligence and AI without wisdom are not deemed sufficient to meet the conditions of a good society today.

scholarly journals Intelligence, Artificial Intelligence and Wisdom in the Global Sustainable Information Society

Proceedings ◽  
2020 ◽  
Vol 47 (1) ◽  
pp. 39 ◽  
Author(s):  
Wolfgang Hofkirchner
Keyword(s):  
Artificial Intelligence ◽  
Complex Systems ◽  
Information Society ◽  
Theoretical Concept ◽  
World Society ◽  
Good Society ◽  
Global Challenges ◽  
To Come ◽  
Systems Intelligence ◽  
Society Today

The Global Sustainable Information Society is a theoretical concept describing the vision of a good society in the age of global challenges. Globality, sustainability and informationality are understood in an innovative way as essential features of a world society to come that is capable of mastering the global challenges. Regarding informationality, the distinction between informedness and informatisation is made and a law of requisite information is introduced. The terms “intelligence”, “Artificial Intelligence” (AI) and “wisdom” are discussed from the perspective of complex systems. Intelligence and AI without wisdom are not deemed sufficient to meet the conditions of a good society today.

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