Agility as the fundamental concept of classical mechanics

2021 ◽  
Vol 34 (2) ◽  
pp. 168-173
Author(s):  
Yehuda Roth
Keyword(s):  
Artificial Intelligence ◽  
General Relativity ◽  
Physical Theory ◽  
Time Derivative ◽  
Classical Mechanics ◽  
Fundamental Concept ◽  
Mathematical Formalism ◽  
Physical Laws ◽  
Implementation Stage ◽  
Artificial Intelligence Systems

In this paper, we introduce a mathematical formalism that demonstrates how concepts are implemented in physical theories, with a focus on the agility concept. We define a concept manifestation as a process, in which a concept is assigned to an object (e.g., a body or a particle). In the implementation stage, a physical theory is spanned, and we demonstrate how the implementation of the concept of agility generates the rules of classical mechanics and, in some aspects, general relativity. Using this approach, we show that both expressions for momentum— <mml:math display="inline"> <mml:mover accent="true"> <mml:mi>p</mml:mi> <mml:mo></mml:mo> </mml:mover> <mml:mo>=</mml:mo> <mml:mi>m</mml:mi> <mml:mover accent="true"> <mml:mrow> <mml:mover accent="true"> <mml:mrow> <mml:mi>r</mml:mi> </mml:mrow> <mml:mo></mml:mo> </mml:mover> </mml:mrow> <mml:mo></mml:mo> </mml:mover> </mml:math> and <mml:math display="inline"> <mml:mover accent="true"> <mml:mi>p</mml:mi> <mml:mo></mml:mo> </mml:mover> <mml:mo>=</mml:mo> <mml:mo stretchy="false">(</mml:mo> <mml:mi mathvariant="italic"></mml:mi> <mml:mo>/</mml:mo> <mml:mi>λ</mml:mi> <mml:mo stretchy="false">)</mml:mo> <mml:mover accent="true"> <mml:mrow> <mml:mi>c</mml:mi> </mml:mrow> <mml:mo></mml:mo> </mml:mover> </mml:math> —originate from the same source-time derivative of an agility operator. We conclude that physical laws that can serve as representative concepts may be useful in artificial intelligence systems.

Einstein’s Lectures

2017 ◽  
Author(s):  
Hanoch Gutfreund ◽  
Jürgen Renn
Keyword(s):  
General Relativity ◽  
Physical Theory ◽  
Mathematical Apparatus ◽  
Relativity Principle ◽  
Principle Of Relativity ◽  
Propagation Of Light ◽  
Temporal Aspects ◽  
Physical Laws ◽  
Conceptual Foundations ◽  
Morley Experiment

This chapter reproduces the extant text of the two lectures. In these two lectures, Einstein explains very thoroughly the principles and conceptual foundations of, first, special and then general relativity with a minimum of mathematical apparatus. He also includes qualitative discussions of the main experiential evidence supporting his theories, such as the Michelson-Morley experiment (which Einstein calls the Michelson experiment) as support for the validity of the relativity principle, and also of the propagation of light. The guiding theme is the principle of relativity, which he begins to explain in basic kinematic terms. In the conclusion of both his lectures, he emphasizes, first, that the most important task of a physical theory is to reduce the number of independent assumptions rooted in experience, and that, second, spatial and temporal aspects of reality are inevitably tied up with all other physical laws.

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

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.

About digital transformation of the transport industry in Russia

2020 ◽  
Vol 19 (3) ◽  
pp. 95-105
Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya
Keyword(s):  
Artificial Intelligence ◽  
Business Model ◽  
Data Science ◽  
Digital Transformation ◽  
Digital Culture ◽  
Blockchain Technology ◽  
Community Approach ◽  
Non Linear ◽  
Transport Industry ◽  
Artificial Intelligence Systems

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.

Are artificial intelligence systems useful in breast cancer screening programmes?

2021 ◽  
Vol 63 (3) ◽  
pp. 236-244
Author(s):  
O. Díaz ◽  
A. Rodríguez-Ruiz ◽  
A. Gubern-Mérida ◽  
R. Martí ◽  
M. Chevalier
Keyword(s):  
Breast Cancer ◽  
Artificial Intelligence ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Artificial Intelligence Systems

scholarly journals Polanyi's revenge and AI's new romance with tacit knowledge

2021 ◽  
Vol 64 (2) ◽  
pp. 31-32
Author(s):  
Subbarao Kambhampati
Keyword(s):  
Artificial Intelligence ◽  
Tacit Knowledge ◽  
Artificial Intelligence Systems

Artificial intelligence systems need the wisdom to know when to take advice from us and when to learn from data.

scholarly journals Clock-dependent spacetime

2021 ◽  
Vol 2021 (4) ◽  
Author(s):  
Sung-Sik Lee
Keyword(s):  
Hilbert Space ◽  
General Relativity ◽  
Quantum Gravity ◽  
Hilbert Spaces ◽  
Coordinate Systems ◽  
Physical Laws

Abstract Einstein’s theory of general relativity is based on the premise that the physical laws take the same form in all coordinate systems. However, it still presumes a preferred decomposition of the total kinematic Hilbert space into local kinematic Hilbert spaces. In this paper, we consider a theory of quantum gravity that does not come with a preferred partitioning of the kinematic Hilbert space. It is pointed out that, in such a theory, dimension, signature, topology and geometry of spacetime depend on how a collection of local clocks is chosen within the kinematic Hilbert space.

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