American Journal of Software Engineering and Applications

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Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies

Received: Apr. 20, 2021    Accepted: May 05, 2021    Published: May 14, 2021
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Abstract

Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for their obtaining on the basis of professional competence and experience accumulation. The professional competence of artificial intelligence is the ability to use technologies, including computer vision, natural language processing, speech recognition and synthesis, intelligent decision support, as well as the use of synergistic methods, functional self-organizing methods and utility and preference criteria. For artificial intelligence, the functional organization of the system is important. The functionalism of artificial intelligence does not depend on its carrier, allows many methods of its functional implementation, as well as to form the completeness of its functions. Giant ensembles of intellectual agents with a full set of functions gradually and flexibly form events into solutions or rational behavior to obtain a given necessary result. Intelligent artificial intelligence has psychological, analytical, research, language, professional and behavioral hybrid competencies. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. Functional harmonious self-organization of the interaction of intellectual agents in different environments is carried out on the basis of data of a specific environment obtained by analytical competent intellectual agents. For each set of functions and smart hybrid competencies of an intelligent ensemble, there is a critical importance for the number of its intellectual agents capable of synergistic self-organization of interaction.

DOI 10.11648/j.ajsea.20211001.11
Published in American Journal of Software Engineering and Applications ( Volume 10, Issue 1, June 2021 )
Page(s) 1-10
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

Intellectual Agent Ensembles, Smart Hybrid Competencies, Functional Harmonious Self-organization

References
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  • APA Style

    Evgeny Bryndin. (2021). Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies. American Journal of Software Engineering and Applications, 10(1), 1-10. https://doi.org/10.11648/j.ajsea.20211001.11

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    ACS Style

    Evgeny Bryndin. Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies. Am. J. Softw. Eng. Appl. 2021, 10(1), 1-10. doi: 10.11648/j.ajsea.20211001.11

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    AMA Style

    Evgeny Bryndin. Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies. Am J Softw Eng Appl. 2021;10(1):1-10. doi: 10.11648/j.ajsea.20211001.11

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  • @article{10.11648/j.ajsea.20211001.11,
      author = {Evgeny Bryndin},
      title = {Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies},
      journal = {American Journal of Software Engineering and Applications},
      volume = {10},
      number = {1},
      pages = {1-10},
      doi = {10.11648/j.ajsea.20211001.11},
      url = {https://doi.org/10.11648/j.ajsea.20211001.11},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajsea.20211001.11},
      abstract = {Artificial intelligence of large ensembles of intelligent agents in terms of computing power surpasses human intelligence. He is capable of artificial thinking and understanding. Giant ensembles of intellectual agents with artificial consciousness and intelligence are able, for the results set by the person necessary for him, to find solutions for their obtaining on the basis of professional competence and experience accumulation. The professional competence of artificial intelligence is the ability to use technologies, including computer vision, natural language processing, speech recognition and synthesis, intelligent decision support, as well as the use of synergistic methods, functional self-organizing methods and utility and preference criteria. For artificial intelligence, the functional organization of the system is important. The functionalism of artificial intelligence does not depend on its carrier, allows many methods of its functional implementation, as well as to form the completeness of its functions. Giant ensembles of intellectual agents with a full set of functions gradually and flexibly form events into solutions or rational behavior to obtain a given necessary result. Intelligent artificial intelligence has psychological, analytical, research, language, professional and behavioral hybrid competencies. Each competence is exercised by an intelligent agent with a competent functional professional manner. Intelligent agents form an ensemble with intelligent ethical artificial intelligence. Functional harmonious self-organization of the interaction of intellectual agents in different environments is carried out on the basis of data of a specific environment obtained by analytical competent intellectual agents. For each set of functions and smart hybrid competencies of an intelligent ensemble, there is a critical importance for the number of its intellectual agents capable of synergistic self-organization of interaction.},
     year = {2021}
    }
    

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Author Information
  • Research Department, Research Center ?Natural Informatics?, Novosibirsk, Russia

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