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.
Published in | American Journal of Software Engineering and Applications (Volume 10, Issue 1) |
DOI | 10.11648/j.ajsea.20211001.11 |
Page(s) | 1-10 |
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Copyright © The Author(s), 2021. Published by Science Publishing Group |
Intellectual Agent Ensembles, Smart Hybrid Competencies, Functional Harmonious Self-organization
[1] | Trianni, V. and Dorigo, M. (2006). Self-organisation and communication in groups of simulated and physical robots. Biological Cybernetics, 95 (3): 213–231. |
[2] | Watson, R. A., Buckley, C. L., and Mills, R. Optimisation in self-modelling complex adaptive systems. Complexity. 2010. |
[3] | Doursat, R. (2011). The myriads of alife: Importing complex systems and self-organization into engineering. In 2011 IEEE Symposium on Artificial Life. |
[4] | Hermann Haken. Information and Self-Organization. December 2016. Entropy 19 (1): 1-18. |
[5] | Adami, C., Schossau, J., and Hintze, A. (2016). Evolutionary game theory using agent-based methods. Physics of Life Reviews, 19: 1–26. |
[6] | Froese, T. and Manzanilla, L. R. (2018). Modeling collective rule at ancient teotihuacan as a complex adaptive system: Communal ritual makes social hierarchy more effective. Cognitive Systems Research, 52: 862 – 874. |
[7] | Gershenson, C. (2020). Guiding the self-organization of cyber-physical systems. Frontiers in Robotics and AI, 7: 41. |
[8] | 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. |
[9] | Evgeniy Bryndin. Formation of Technological Cognitive Reason with Artificial Intelligence in Virtual Space. Britain International of Exact Sciences Journal, Volume 2, Issue 2, May 2020. Page: 450-461. |
[10] | Evgeniy Bryndin. Creative communication safe ethical artificial intelligence in the era of technological development. Software Engineering. Volume. 8, Issue 3, 2020. pp. 13-23. |
[11] | Evgeny Bryndin. Formation of International Ethical Digital Environment with Smart Artificial Intelligence. Automation, Control and Intelligent Systems. V. 9, Iss. 1, 2021, pp. 27-38. |
[12] | Evgeniy Bryndin. Collaboration of Intelligent Interoperable Agents via Smart Interface. International Journal on Data Science and Technology, Vol. 5, № 4. 2019. Pages: 66-72. |
[13] | 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. |
[14] | Soumya Baneree. A framework for designing compassionate and ethical artificial intelligence and artificial consciousness. Interdisciplinary Description of Complex Systems 18 (2-A). June 2018. |
[15] | Georgios Th. Papadopoulos, Margherita Antona, Constantine Stephanidis. Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learning. Computer Science. December, 2020. |
[16] | Alejandro Chacón, Pere Ponsa, Cecilio Angulo. On Cognitive Assistant Robots for Reducing Variability in Industrial Human-Robot Activities. Applied Science. 2020, 10, 5137. pp. 1-23. |
[17] | Yingxu Wang. How Will Autonomous Systems and Cognitive Robots Augment Human Intelligence? The 2020 Future Technologies Conference (FTC’20), Vancouver, Canada, Nov. 5-6, 2020. |
[18] | Yingxu Wang. Emerging Technologies for Autonomous Behavior Generation at Run-Time by Cognitive Robots. Int’l Conf. on Robot Intelligence Technologies and Applications (RITA’21), Porto, Portugal, Sept. 21, 2021. |
[19] | Tielin Zhang, Yi Zeng, Ruihan Pan, Mengting Shi, Enmeng Lu. Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. Cognitive Computation volume 13, pages 381–393 (2021). |
[20] | Kishore Sugali, Chris Sprunger, Venkata N Inukollu. SOFTWARE TESTING: ISSUES AND CHALLENGES OF A RTIFICIAL INTELLIGENCE & MACHINE L EARNING. International Journal of Artificial Intelligence and Applications (IJAIA), Vol. 12, No. 1, January 2021. |
[21] | Eduard Babulak. Third Millennium Life Saving Smart Cyberspace Driven by AI and Robotics. COJ Robotics & Artificial Intelligence. Volume 1, Issue 4, 2021. |
[22] | Evgeny Bryndin. Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments. Software Engineering. Volume 8, Issue 4, 2021, pp. 24-33 |
[23] | Buck P. How nature works: The theory of self-organized criticality. M.: Librocom, 2013. – 276 pages. |
[24] | 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. |
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
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
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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TY - JOUR T1 - Functional and Harmonious Self-organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies AU - Evgeny Bryndin Y1 - 2021/05/14 PY - 2021 N1 - https://doi.org/10.11648/j.ajsea.20211001.11 DO - 10.11648/j.ajsea.20211001.11 T2 - American Journal of Software Engineering and Applications JF - American Journal of Software Engineering and Applications JO - American Journal of Software Engineering and Applications SP - 1 EP - 10 PB - Science Publishing Group SN - 2327-249X UR - https://doi.org/10.11648/j.ajsea.20211001.11 AB - 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. VL - 10 IS - 1 ER -