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Creative Communication Safe Ethical Artificial Intelligence in the Era of Technological Development

Received: 6 December 2020    Accepted: 15 December 2020    Published: 28 December 2020
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Abstract

God created the universe by images. Man also carries out creative activity by imagined and descriptive images. Creative artificial intelligence can already create paintings, compose poems and prose. That is, he can imagine and depict virtual animated and inanimate images. Creative artificial intelligence can also endow virtual images with information and process active communications that are safe for their environment. That is, make them active. Intelligent communicative-associative artificial intelligence combines information and active communications. Digital doubles and robots with artificial intelligence can embody virtual images with information, process active and safe communications in real participants in the social life of a technocratic civilization by self-organizing ensembles of intellectual agents with collective synergistic interaction. An ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skill and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. A synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergy approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. A synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.

Published in Software Engineering (Volume 8, Issue 3)
DOI 10.11648/j.se.20200803.11
Page(s) 13-23
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), 2024. Published by Science Publishing Group

Keywords

Information and Process Communications, Intelligent Agents, Collective Synergy, Digital Doubles, Robots

References
[1] Evgeniy Bryndin. Practical Development of Creative Life-Saving Strong Artificial Intelligence. Communications, Volume.7, Issue 2, 2019. Pages: 31-39.
[2] Evgeniy Bryndin. Communicative-associative development of smart artificial intelligence by criteria with the help of ensembles of diversified agents. International Journal of Intelligent Information Systems. Volume 9, Issue 4, 2020. pp. 24-34.
[3] Evgeniy Bryndin. Collaboration of Intelligent Interoperable Agents via Smart Interface. International Journal on Data Science and Technology, Vol. 5, № 4. 2019. Pages: 66-72.
[4] Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents on Technological Platforms. COJ Technical & Scientific Research.2(4). 2020. Pages: 1-8.
[5] Masloboev A.V., Langhans M. A multi-agent system for management information support of regional innovations. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2018, vol. 18, no. 4, pp. 630–638.
[6] Oleg Vasylovych Moroz. Model of Self-organizing Knowledge Representation and Organizational Knowledge Transformation, American Journal of Artificial Intelligence. Vol. 4, No. 1, 2020, pp. 1-19. doi: 10.11648/j.ajai.20200401.11.
[7] Evgeniy Bryndin. Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction. Automation, Control and Intelligent Systems. Vol. 8, Issue 4, 2020, pp. 29-37.
[8] Wu Jun. Research on the Framework of Smart City Operating System Based on New ICTs. American Journal of Artificial Intelligence. Volume 4, Issue 1, June 2020, Pages: 36-41.
[9] 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.
[10] CRONEMBERGER F, GIL-GARCIA J R. Big data and analytics as strategies to generate public value in smart cities: proposing an integrative framework. Switzerland: Springer Nature, 2019.
[11] Stewart Russell, Peter Norvig. Artificial Intelligence: Modern Approach. Williams, 2019. 1408 p. ISBN: 978-5-8459-1968-7.
[12] Evgeniy Bryndin. Mainstreaming technological development of industrial production based on artificial intelligence. COJ Technical & Scientific Research, 2(3). 2019. Pages: 1-5.
[13] 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.
[14] Evgeniy Bryndin. Increase of Safety Use Robots in Industry 4.0 by Developing Sensitivity and Professional Behavioral Skills. American Journal of Mechanical and Industrial Engineering. Volume 5, Issue 1, 2020. Pages: 6-14.
[15] Fatima Kalna. A Meta-model for Diverse Data Sources in Business Intelligence. American Journal of Embedded Systems and Applications, Volume 7, Issue 1, June 2019, Pages: 1-8.
[16] Evgeniy Bryndin. Formation and Management of Industry 5.0 by Systems with Artificial Intelligence and Technological Singularity. American Journal of Mechanical and Industrial Engineering. Volume 5, Issue 2. 2020. pp. 24-30.
Cite This Article
  • APA Style

    Evgeny Bryndin. (2020). Creative Communication Safe Ethical Artificial Intelligence in the Era of Technological Development. Software Engineering, 8(3), 13-23. https://doi.org/10.11648/j.se.20200803.11

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    ACS Style

    Evgeny Bryndin. Creative Communication Safe Ethical Artificial Intelligence in the Era of Technological Development. Softw. Eng. 2020, 8(3), 13-23. doi: 10.11648/j.se.20200803.11

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    AMA Style

    Evgeny Bryndin. Creative Communication Safe Ethical Artificial Intelligence in the Era of Technological Development. Softw Eng. 2020;8(3):13-23. doi: 10.11648/j.se.20200803.11

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  • @article{10.11648/j.se.20200803.11,
      author = {Evgeny Bryndin},
      title = {Creative Communication Safe Ethical Artificial Intelligence in the Era of Technological Development},
      journal = {Software Engineering},
      volume = {8},
      number = {3},
      pages = {13-23},
      doi = {10.11648/j.se.20200803.11},
      url = {https://doi.org/10.11648/j.se.20200803.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20200803.11},
      abstract = {God created the universe by images. Man also carries out creative activity by imagined and descriptive images. Creative artificial intelligence can already create paintings, compose poems and prose. That is, he can imagine and depict virtual animated and inanimate images. Creative artificial intelligence can also endow virtual images with information and process active communications that are safe for their environment. That is, make them active. Intelligent communicative-associative artificial intelligence combines information and active communications. Digital doubles and robots with artificial intelligence can embody virtual images with information, process active and safe communications in real participants in the social life of a technocratic civilization by self-organizing ensembles of intellectual agents with collective synergistic interaction. An ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skill and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. A synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergy approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. A synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.},
     year = {2020}
    }
    

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    AU  - Evgeny Bryndin
    Y1  - 2020/12/28
    PY  - 2020
    N1  - https://doi.org/10.11648/j.se.20200803.11
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    AB  - God created the universe by images. Man also carries out creative activity by imagined and descriptive images. Creative artificial intelligence can already create paintings, compose poems and prose. That is, he can imagine and depict virtual animated and inanimate images. Creative artificial intelligence can also endow virtual images with information and process active communications that are safe for their environment. That is, make them active. Intelligent communicative-associative artificial intelligence combines information and active communications. Digital doubles and robots with artificial intelligence can embody virtual images with information, process active and safe communications in real participants in the social life of a technocratic civilization by self-organizing ensembles of intellectual agents with collective synergistic interaction. An ensemble of intelligent virtual agents can simultaneously interact with several external environments, conduct several dialogues and perform many skills, that is, can have collective knowledge and skill and behavior. The author, in this article, proposes a synergistic approach to the formation of technological ensembles of intelligent virtual agents. The synergistic approach created reference positions for the development of a new promising area of informatics. A synergistic approach establishes the relationships and from the image of conjugated system phenomena. It uses tools, approaches, and methodology to reasonably transfer the results of subsystem research, parts, and sections to their integral integrated and hierarchically superior system levels. The synergy approach shows the most important role of resonant phenomena of the states of information systems. The synergistic principle provides a single basis for self-organization. The stage of self-organization occurs only in the case of positive feedback. A synergistic approach allows you to implement the self-organization of intelligent virtual agents of the technological ensemble. Technological self-organizing collective ensembles are able to interact with production teams, replace them for some time and even completely release them in various fields of professional activity. Technological collective ensembles can manage industries, make decisions in difficult changing circumstances and ensure safety in extreme conditions.
    VL  - 8
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Author Information
  • Research Center ?Natural Informatics?, Novosibirsk, Russia

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