Acta Scientific Computer Sciences

Review Article Volume 5 Issue 2

Ensembles of Intelligent Agents with Expanding Communication Abilities

Evgeny Bryndin*

Professional Researcher of Engineering Research Association (AER), Novosibirsk, Russia

*Corresponding Author: Evgeny Bryndin, Professional Researcher of Engineering Research Association (AER), Novosibirsk, Russia.

Received: November 07, 2022; Published: January 12, 2023


Ensembles of intellectual agents solve the problem in the course of self-organization and cooperation according to the criteria of preference and restriction. The solution is considered found when, in the course of their nondeterministic interactions, agents reach the best consensus (temporary equilibrium or balance of interests), which is taken as a solution to the problem. Solving a problem is always seen as an equilibrium when none of the agents can improve their condition anymore, which is evidence of reaching a reasonable compromise, balance of interests, or agreement (harmony) of all intellectual agents in a problematic situation. Agents can act both on behalf of and on behalf of a person, and any physical and abstract entities. In the ensemble of intellectual agents of each entity of the real world, a software agent is put in line, which represents the interests of this entity and can coordinate its decisions with other agents. The advantages of intelligent agents that allow you to build self-organizing ensembles are especially manifested in conditions of a priori uncertainty and high dynamics of the world around you, allowing you to build adaptive ensembles with communicative abilities, rebuilding your plans for events in real time. The higher the intelligence of each agent and the richer the opportunities for communication between agents, the more complex and creative behavior the ensemble can demonstrate. The intellect of the ensemble arises and manifests itself in the process of self-organization of intellectual agents.

Keywords: Ensembles of Intellectual Agents; Self-Organization of Adaptive Ensembles; Preference Criterion; Communicative Abilities



  1. J P Bigus. “The Agent Building and Learning Environment”. Proceedings of Autonomous Agents 2000, Barcelona, ACM Press (2000): 108-109.
  2. Olfati-Saber R and Murray RM. “Consensus problems in networks of agents with switching topology and time-delays”. Automatic Control, IEEE Transactions 49.9 (2004): 1520-1533.
  3. North MJ., et al. “Repast Simphony Development Environment, Proceedings of the Agent 2005 Conference on Generative Social Processes, Models, and Mechanisms, ANL/DIS-06-1, co-sponsored by Argonne National Laboratory and The University of Chicago, Oct. 13-15 (2005).
  4. Zambonelli F., et al. “Multi-Agent Systems as Computational Organisations: The Gaia Methodology”. Agent-Oriented Methodologies, (Eds. Henderson-Sellers B., Giorgini P.) Idea Group Publishing, London (2005).
  5. North MJ., et al. “Containing agents: Context, Projections and Agents”. Proceedings of the Agent 2006 Conference on Social Agents: Results and Prospects, ANL/DIS-06-7, co-sponsored by Argonne National Laboratory and The University of Chicago, September 21-23.
  6. Olfati-Saber R., et al. “Consensus and cooperation in networked multi-agent systems”. Proceedings of the IEEE 95.1 (2007): 215-233.
  7. Yong-Zheng Sun and Jiong Ruan. “Leader-follower consensus problems of multi-agent systems with noise perturbation and time delays”. Chinese Physics Letters9 (2008).
  8. Wooldridge M. “An Introduction to MultiAgent Systems”. M. Wooldridge. 2nd - Chichester, England : John Wiley and Sons, (2009).
  9. Aaron E and Admoni H. “A framework for dynamical intention in hybrid navigating agents”. in Hybrid Artificial Intelligence Systems (Berlin, Heidelberg: Springer-Verlag) (2009): 18-25.
  10. Chebotarev P Yu and Agaev R P. “Coordination in multiagent systems and Laplacian spectra of digraphs”. Automation and Remote Control3 (2009): 469-483.
  11. Aaron E and Admoni H. “Action selection and task sequence learning for hybrid dynamical cognitive agents”. Robotics and Autonomous Systems 58 (2010): 1049-1056.
  12. Aaron E and Mendoza J P. “Dynamic obstacle representations for robot and virtual agent navigation”. in Proceedings of the Canadian Conference on Artificial Intelligence (Heidelberg, New York: Springer-Verlag), 1-12.
  13. Aaron E., et al. “Integrated dynamical intelligence for interactive embodied agents”. in ICAART 2011 Proceedings of the 3rd International Conference on Agents and Artificial Intelligence (Setubal: SCITEPRESS), 296-301.
  14. Chen Yao., et al. “Multi-agent systems with dynamical topologies: Consensus and applications”. IEEE Circuits and Systems Magazine 13.3 (2013): 21-34.
  15. Lewis FL., et al. “Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (Communications and Control Engineering)”. Springer (2014).
  16. Camara M., et al. “A Multi-Agent System with Reinforcement Learning Agents for Biomedical Text Mining”. Proceedings of the 6th ACM Con-ference on Bioinformatics, Computational Biology and Health Informatics. Atlanta (2015): 634-643.
  17. Denis Deryugin. “Applying multi-agent technologies to control a group of robotic devices. Fundamental Informatics and Information Technology Mathematical and Software Support for Computers, Computer Systems and Networks”. Saint Petersburg State University (2017): 1-30.
  18. G Lombardo., et al. “A Multi-Agent Architecture for Data Analysis”. Future Internet 11 (2019): 1-12.
  19. Koshur VD., et al. “Implementation of a multi-agent artificial intelligence system to solve the classification problem”. Neuroinformatics-2019: materials of an international scientific and technical conference. Moscow: MIPT Publishing House, (2019): 24-31.
  20. Lean Yu., et al. “A Multi-Agent Neural Network System for Web Text”. Emerging Technologies of Text Mining (2020).
  21. Burlutsky VV., et al. “Development of a multi-agent intellectual system for solving the problems of classification and ranking of materials on the Internet”. Bulletin of the South3 (2020): 47-52.
  22. Evgeny Bryndin. “Cross-Platform Collaboration with Help Virtual Digital Thinking of Technological Mind with Artificial Intelligence”. Integrative Journal of Conference Proceedings1 (2022): 1-4.
  23. Evgeniy Bryndin. “Collaboration of Intelligent Interoperable Agents via Smart Interface”. International Journal on Data Science and Technology4. (2019): 66-72.
  24. Evgeniy Bryndin. “Development of Artificial Intelligence by Ensembles of Virtual Agents with Mobile Interaction”. Automation, Control and Intelligent Systems1 (2020): 1-8.
  25. Evgeniy Bryndin. “Technology Self-organizing Ensembles of Intelligent Agents with Collective Synergetic Interaction”. Automation, Control and Intelligent Systems4 (2020): 29-37.
  26. Evgeny Bryndin. “ Functional and Harmonious Self-Organization of Large Intellectual Agent Ensembles with Smart Hybrid Competencies”. American Journal of Software Engineering and Applications 1 (2021): 1-10.
  27. Evgeny Bryndin. “Simulation of creative manifestation by functional ensembles of intellectual agents based on live information in various spheres of life activity”. Network and Communication Technologies 2 (2021): 41-46.
  28. Evgeny Bryndin. “Modeling of creative and professional activities by ensembles of intellectual agents based on live information”. International Journal of Artificial Intelligence and Mechatronics (IJAIM), 4 (2022): 44-50.
  29. Evgeny Bryndin. “Ensembles of Intellectual Agents with Decision-Making”. Acta Scientific Computer Sciences6 (2022): 03-08.
  30. Evgeny Bryndin. “Intellectual Agent Ensemble with Professional Competencies, Pattern Recognition and Decision Making”. Applied Science and Innovative Research4 (2022): 1-10.
  31. Evgeny Bryndin. “Identification of Natural Novelty and Disasters by Ensembles of Intelligent Agents Based on Spectral Measurement”. International Journal of Innovative Research in Multidisciplinary Education 2 (2022): 55-59.
  32. Evgeniy Bryndin. “Formation and Management of Industry 5.0 by Systems with Artificial Intelligence and Technological Singularity”. American Journal of Mechanical and Industrial Engineering2 (2020): 24-30.
  33. Evgeny Bryndin. “Implementation of Competencies by Smart Ethical Artificial Intelligence in Different Environments”. Software Engineering4 (2021): 24-33.


Citation: Evgeny Bryndin. “Ensembles of Intelligent Agents with Expanding Communication Abilities".Acta Scientific Computer Sciences 5.2 (2023): 44-49.


Copyright: © 2023 Evgeny Bryndin. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Acceptance rate35%
Acceptance to publication20-30 days

Indexed In

News and Events

  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is May 20, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US