Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction

Evgeniy Bryndin

doi:doi:10.11648/j.acis.20200801.11

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Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction

Evgeniy Bryndin

Published in Automation, Control and Intelligent Systems (Volume 8, Issue 1)

Received: 4 January 2020 Accepted: 10 January 2020 Published: 13 April 2020

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Abstract

Process automation, cloud technology, machine learning, big data analytics, and the Internet of Things have changed the fundamental pillars of the high-tech industry, according to Deloitte's report of Future of Working in the World of Technology. The Harvard Business Review Analytic Services study to marks the race for technology across all industries. The digital transformation of the high-tech industry and social sphere currently requires rapid reactions and flexible mobility. Smart collaboration agents are beginning to demonstrate the ability to work together effectively. Smart agent ensembles use information from technology platforms such as the European Technology Platform Future Manufacturing Technologies and analytics platforms such as Visiology, which quickly and efficiently addresses the challenges of collecting, analyzing and visualizing large amounts of data. Fast, efficient data collection and analysis of large amounts of data, flexible operational mobility of data updates, and synergistic open collaboration of smart agents with information platforms and analytical systems will help accelerate the digital transformation of the high-tech industry and social sphere by teaching new skills. Learning new skills can be done in a virtual space and then developed in a specific environment. The accumulation of professional experience in virtual space contributes to the development of artificial intelligence.

Published in	Automation, Control and Intelligent Systems (Volume 8, Issue 1)
DOI	10.11648/j.acis.20200801.11
Page(s)	1-8
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2020. Published by Science Publishing Group

Keywords

Virtual Ensemble of Agents, Technological Platforms, Analytical Systems, Development of Artificial Intelligence

References

[1]	Evgeniy Bryndin. Cognitive Robots with Imitative Thinking for Digital Libraries, Banks, Universities and Smart Factories. International Journal of Management and Fuzzy Systems. V. 3, N. 5, 2017, pp 57- 66.
[2]	Evgeniy Bryndin. Mainstreaming technological development of industrial production based on artificial intelligence. COJ Technical & Scientific Research, 2 (3). 2019. Pages: 1-5.
[3]	Evgeniy Bryndin. Collaboration Robots as Digital Doubles of Person for Communication in Public Life and Space. American Journal of Mechanical and Industrial Engineering, Volume 4, Issue 2, 2019. Pages: 35-39.
[4]	Evgeniy Bryndin. Practical Development of Creative Life-Saving Strong Artificial Intelligence. Communications, Vol. 7, No. 1, 2019. Pages: 31-39.
[5]	Evgeniy Bryndin. Collaboration Robots with Artificial Intelligence as Digital Doubles of Person for Communication in Public Life and Space. Budapest International Research in Exact Sciences (BirEx-Journal), Volume 1, No. 4, 2019. Pages: 1-11.
[6]	Evgeniy Bryndin. Collaboration of Intelligent Interoperable Agents via Smart Interface. International Journal on Data Science and Technology, Vol. 5, Issue 2. 2019.
[7]	Evgeniy Bryndin. Robots with Artificial Intelligence and Spectroscopic Sight in Hi-Tech Labor Market. International Journal of Systems Science and Applied Mathematic, V. 4, № 3, 2019. Pages: 31-37.
[8]	Evgeniy Bryndin. Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, Volume 7, Issue 1, 2019. P. 1-9.
[9]	Evgeniy Bryndin. Supercomputer BEG with Artificial Intelligence of Optimal Resource Use and Management by Continuous Processing of Large Programs. International Journal of Research in Engineering, Vol. 1, Issue 2, 2019. Pages: 9-14.
[10]	Evgeniy G. Bryndin. Modeling of Transformation of Nanostructures by Cognitive Systems on the Basis of Big Smart Data. International Journal of Artificial Intelligence and Mechatronics. Volume 7, Issue 4. 2019. P. 19-22.
[11]	Evgeniy Bryndin. University Creative Mobility Inside Yourself and in Interaction with Social Environment. Social Science Learning Education Journal, Volume 4, Issue 10, 2019. Page: 35–38.
[12]	Bessmertny I., Kulagin V. Semantic Network as a Knowledge Base in Training Systems //Proceedings of 11th IACEE World Conference on Continuing Engineering Education. Atlanta, GE, USA, 2008. – Р. 95–99.
[13]	Evgeniy Bryndin. Social Cognitive Smart Robots: Guide, Seller, Lecturer, Vacuum Cleaner, Nurse, Volunteer, Security Guard, Administrator. Communications. Volume 7, Issue 1. 2019. Pages: 6-12.
[14]	Evgeniy Bryndin, Irina Bryndina. Technological Diagnostics of Human Condition According to Spectral Analysis of Biofield. Advances in Bioscience and Bioengineering. Volume 7, Issue 3, 2019. Pages: 64-68.
[15]	Evgeniy Bryndin, Irina Bryndina. International Public Health Care on Basis Healthy Lifestyle. Asian Journal of Medical Science Research & Review, Volume 1, Issue 2. 2019. Pages: 88-96.
[16]	Evgeniy Bryndin Formation Smart Data Science for Automated Analytics of Modeling of Scientific Experiments. American Journal of Software Engineering and Applications. Volume 8, Issue 2, 2019. Pages: 36-43.
[17]	Evgeniy Bryndin. Digital technologies of the industry 4.0. / Chepter 10, С. 201-222, Book: Computer Science Advances: Research and Applications.. USA: Nova Science Publisher. 2019. 252 pages.
[18]	Evgeniy Bryndin. Development of sensitivity and active behavior of cognitive robot by means artificial intelligence. International Journal of Robotics Research and Development. VOL - 10, ISSUE - 1; 2020. Pages: 1-11.
[19]	Evgeniy Bryndin. Increased Sensitivity and Safety of Cognitive Robot by Development of Professional and Behavioral Skills. Engineering Mathematics Letters. 2020. In press.
[20]	Evgeniy Bryndin. Formation of Information Reason with Artificial Intelligence in Virtual Space. Journal of Communications. Volume 15; Issue 3. 2020. Page: In the press.

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Evgeniy Bryndin. (2020). Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Automation, Control and Intelligent Systems, 8(1), 1-8. https://doi.org/10.11648/j.acis.20200801.11

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ACS Style

Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Autom. Control Intell. Syst. 2020, 8(1), 1-8. doi: 10.11648/j.acis.20200801.11

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AMA Style

Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Autom Control Intell Syst. 2020;8(1):1-8. doi: 10.11648/j.acis.20200801.11

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@article{10.11648/j.acis.20200801.11,
  author = {Evgeniy Bryndin},
  title = {Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction},
  journal = {Automation, Control and Intelligent Systems},
  volume = {8},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.acis.20200801.11},
  url = {https://doi.org/10.11648/j.acis.20200801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20200801.11},
  abstract = {Process automation, cloud technology, machine learning, big data analytics, and the Internet of Things have changed the fundamental pillars of the high-tech industry, according to Deloitte's report of Future of Working in the World of Technology. The Harvard Business Review Analytic Services study to marks the race for technology across all industries. The digital transformation of the high-tech industry and social sphere currently requires rapid reactions and flexible mobility. Smart collaboration agents are beginning to demonstrate the ability to work together effectively. Smart agent ensembles use information from technology platforms such as the European Technology Platform Future Manufacturing Technologies and analytics platforms such as Visiology, which quickly and efficiently addresses the challenges of collecting, analyzing and visualizing large amounts of data. Fast, efficient data collection and analysis of large amounts of data, flexible operational mobility of data updates, and synergistic open collaboration of smart agents with information platforms and analytical systems will help accelerate the digital transformation of the high-tech industry and social sphere by teaching new skills. Learning new skills can be done in a virtual space and then developed in a specific environment. The accumulation of professional experience in virtual space contributes to the development of artificial intelligence.},
 year = {2020}
}

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TY  - JOUR
T1  - Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction
AU  - Evgeniy Bryndin
Y1  - 2020/04/13
PY  - 2020
N1  - https://doi.org/10.11648/j.acis.20200801.11
DO  - 10.11648/j.acis.20200801.11
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PB  - Science Publishing Group
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AB  - Process automation, cloud technology, machine learning, big data analytics, and the Internet of Things have changed the fundamental pillars of the high-tech industry, according to Deloitte's report of Future of Working in the World of Technology. The Harvard Business Review Analytic Services study to marks the race for technology across all industries. The digital transformation of the high-tech industry and social sphere currently requires rapid reactions and flexible mobility. Smart collaboration agents are beginning to demonstrate the ability to work together effectively. Smart agent ensembles use information from technology platforms such as the European Technology Platform Future Manufacturing Technologies and analytics platforms such as Visiology, which quickly and efficiently addresses the challenges of collecting, analyzing and visualizing large amounts of data. Fast, efficient data collection and analysis of large amounts of data, flexible operational mobility of data updates, and synergistic open collaboration of smart agents with information platforms and analytical systems will help accelerate the digital transformation of the high-tech industry and social sphere by teaching new skills. Learning new skills can be done in a virtual space and then developed in a specific environment. The accumulation of professional experience in virtual space contributes to the development of artificial intelligence.
VL  - 8
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ER  -

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Author Information

Evgeniy Bryndin

Research Department, Research Center "Natural Informatics", Novosibirsk, Russia

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APA Style

Evgeniy Bryndin. (2020). Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Automation, Control and Intelligent Systems, 8(1), 1-8. https://doi.org/10.11648/j.acis.20200801.11

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ACS Style

Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Autom. Control Intell. Syst. 2020, 8(1), 1-8. doi: 10.11648/j.acis.20200801.11

Copy | Download

AMA Style

Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Autom Control Intell Syst. 2020;8(1):1-8. doi: 10.11648/j.acis.20200801.11

Copy | Download

@article{10.11648/j.acis.20200801.11,
  author = {Evgeniy Bryndin},
  title = {Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction},
  journal = {Automation, Control and Intelligent Systems},
  volume = {8},
  number = {1},
  pages = {1-8},
  doi = {10.11648/j.acis.20200801.11},
  url = {https://doi.org/10.11648/j.acis.20200801.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20200801.11},
  abstract = {Process automation, cloud technology, machine learning, big data analytics, and the Internet of Things have changed the fundamental pillars of the high-tech industry, according to Deloitte's report of Future of Working in the World of Technology. The Harvard Business Review Analytic Services study to marks the race for technology across all industries. The digital transformation of the high-tech industry and social sphere currently requires rapid reactions and flexible mobility. Smart collaboration agents are beginning to demonstrate the ability to work together effectively. Smart agent ensembles use information from technology platforms such as the European Technology Platform Future Manufacturing Technologies and analytics platforms such as Visiology, which quickly and efficiently addresses the challenges of collecting, analyzing and visualizing large amounts of data. Fast, efficient data collection and analysis of large amounts of data, flexible operational mobility of data updates, and synergistic open collaboration of smart agents with information platforms and analytical systems will help accelerate the digital transformation of the high-tech industry and social sphere by teaching new skills. Learning new skills can be done in a virtual space and then developed in a specific environment. The accumulation of professional experience in virtual space contributes to the development of artificial intelligence.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction
AU  - Evgeniy Bryndin
Y1  - 2020/04/13
PY  - 2020
N1  - https://doi.org/10.11648/j.acis.20200801.11
DO  - 10.11648/j.acis.20200801.11
T2  - Automation, Control and Intelligent Systems
JF  - Automation, Control and Intelligent Systems
JO  - Automation, Control and Intelligent Systems
SP  - 1
EP  - 8
PB  - Science Publishing Group
SN  - 2328-5591
UR  - https://doi.org/10.11648/j.acis.20200801.11
AB  - Process automation, cloud technology, machine learning, big data analytics, and the Internet of Things have changed the fundamental pillars of the high-tech industry, according to Deloitte's report of Future of Working in the World of Technology. The Harvard Business Review Analytic Services study to marks the race for technology across all industries. The digital transformation of the high-tech industry and social sphere currently requires rapid reactions and flexible mobility. Smart collaboration agents are beginning to demonstrate the ability to work together effectively. Smart agent ensembles use information from technology platforms such as the European Technology Platform Future Manufacturing Technologies and analytics platforms such as Visiology, which quickly and efficiently addresses the challenges of collecting, analyzing and visualizing large amounts of data. Fast, efficient data collection and analysis of large amounts of data, flexible operational mobility of data updates, and synergistic open collaboration of smart agents with information platforms and analytical systems will help accelerate the digital transformation of the high-tech industry and social sphere by teaching new skills. Learning new skills can be done in a virtual space and then developed in a specific environment. The accumulation of professional experience in virtual space contributes to the development of artificial intelligence.
VL  - 8
IS  - 1
ER  -

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