Communicative-Associative Transition to Smart Artificial Intelligence by Criteria with Help of Ensembles of Diversified Agents

Evgeniy Bryndin, Irina Bryndina


Cognitive virtual smart artificial intelligence can be formed by ensembles of diversified agents with strong artificial intelligence based on communicative-associative logic by recurring development of professional skills, increasing visual, sound, and subject, spatial and temporal sensitivity. Several diversifiable agents that try to get the same conclusion will give a more accurate result, so several diversifiable agents are combined into an ensemble. Then, based on the criteria of utility and preference, the final result is obtained based on the conclusions of diversifying agents. This approach increases accuracy. Bagging and boosting techniques are used to form ensembles. Bagging is a combination of independent diversifiable agents by averaging patterns (weighted average, majority vote, or normal average). Boosting is the construction of ensembles of diversifiable agents consistently. The idea here is that the next agent will consider the errors of the previous agent. Due to the fact that diversifiable agents take into account errors committed by previous agents, it takes less time to get to a real response. The combination of Bagging and Boosting decision-making methods allows the development of intelligent artificial intelligence by ensembles of diversified agents. Cognitive virtual smart artificial intelligence becomes smarter through the accumulated professional experience of high-tech skills, competencies and knowledge, having increased visual, sound, subject, spatial and temporal sensitivity. Standardization of strong artificial intelligence and the use of ensembles of intelligent compatible diversified agents will help to find boundaries in which smart artificial intelligence will benefit humanity and not harm.


smart artificial intelligence; communicative associative logic; preference and utility criteria; ensembles of diversified agents

Full Text:



Evgeniy Bryndin. Practical Development of Creative Life-Saving Strong Artificial Intelligence. Communications, Vol.7, No.1, 2019. Pages: 31-39.

Stewart Russell, Peter Norvig. Artificial Intelligence: Modern Approach. Williams, 2019. 1408 p. ISBN: 978-5-8459-1968-7

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. doi: 10.11648/j.ajai.20200401.14

Evgeniy Bryndin. System retraining to professional competences of cognitive robots on basis of communicative associative logic of technological thinking. International Robotics Automation Journal. 2019; 5(3.):112‒119.

Evgeniy Bryndin. Human Digital Doubles with Technological Cognitive Thinking and Adaptive Behaviour. Software Engineering, Volume 7, Issue 1, 2019. P. 1-9.

CRONEMBERGER F, GIL-GARCIA J R. Big data and analytics as strategies to generate public value in smart cities: proposing an integrative framework [M]. Switzerland: Springer Nature, 2019.

Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents on Technological Platforms. COJ Technical & Scientific Research.2(4). 2020. Pages: 1-8.

. Evgeniy Bryndin. Development of artificial intelligence by ensembles of virtual diversification agents. International Journal of Research in Engineering. Volume 2; Issue 1; 2020; Page 08-14.

Raja Muhammad Asif Zahoor, Khan, Junaid Ali, Qureshi I. M. (2019) Evolutionary Computational Intelligence in Solving the Fractional Differential Equations. 11th Asian Conference, ACIIDS 2019, Yogyakarta, Indonesia, April 8–11, 2019, Proceedings, Part I, 231-240.

Evgeniy Bryndin. Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction. Automation, Control and Intelligent Systems. Volume 8; Issue 1. 2020. Pages: 1-8.

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

ISO/IEC JTC 1/SC 42/WG 4 Use cases and applications Convenorship: JISC (Japan). 2019-12-23.

Evgeniy Bryndin. Standardization of Artificial Intelligence for the Development and Use of Intelligent Systems. Advances in Wireless Communications and Networks. Volume 6, ,Issue 1, 2020, pp. 1-9.

Evgeniy Bryndin. Safe Interaction of Technocratic Societies Through Standardy Ensemble of Intellectual Virtual Agents. Control Science and Engineering. Vol. 4, Issue 1, 2020, pp. 8-15.

Evgeniy Bryndin. Collaboration Robots with Artificial Intelligence (AI) 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.

. 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.


Article Metrics

Abstract view : 12 times
PDF - 4 times


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.