ITM Web Conf.
Volume 59, 2024II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|Number of page(s)
|Adaptive Intelligence: Exploring Learning in Evolutionary Algorithms and Neural Networks
|25 January 2024
Modeling reflection in artificial intelligence systems: state of art and prospects
University of Petroşani, Faculty of Mines, Kaliningrad Branch of the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 5 Gostinaya Str,
2 Avtotor Information Technologies LLC, 4a Magnitogorskaya Str, Kaliningrad 236013, Russian Federation
* Corresponding author: email@example.com
Abstract. The paper is devoted to analyzing the current state of research and assessing the prospects for modeling reflexive processes using artificial intelligence systems, in particular, multi-agent systems for relevant simulation of collective problem solving. Reflexive modeling of each other by agents will ensure the development of a coherent model of the control object, the purpose of collective work and norms of interaction, as well as the developing of effective interaction between agents. This will allow the system, by self-organizing, to adapt to the characteristics of arising problems, in particular, to take into account their complex structure, the network nature of conditions and goals, opacity, subjectivity and dynamism.
© 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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