| Issue |
E3S Web Conf.
Volume 583, 2024
Innovative Technologies for Environmental Science and Energetics (ITESE-2024)
|
|
|---|---|---|
| Article Number | 06015 | |
| Number of page(s) | 6 | |
| Section | Building Energy Modeling | |
| DOI | https://doi.org/10.1051/e3sconf/202458306015 | |
| Published online | 25 October 2024 | |
Cognitive model of collective behavior of distributed intelligent multi-agent systems
The Federal State Institution of Science Federal Scientific Center Kabardino-Balkarian Scientific Center of Russian Academy of Sciences, I. Armand Street, 37-a, 360000, Nalchik, Russia
* Corresponding author: pshenokova_inna@mail.ru
The goal of this study is to develop a model of collective behavior of intelligent agents based on neurocognitive multi-agent architectures. The consistency of agent behavior is based on a single semantic model that is based on the desire of all agents to maximize the energy that a given agent or a collective extract from the environment as a result of performing actions prescribed by a suboptimal plan for such behavior. The main method used to synthesize collective behavior is to create conditions for the growth and development of the controlling multi- agent neurocognitive architecture of an intelligent agent based on the data it receives in the process of interaction with the user, autonomous or robotic agents.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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