| Issue |
ITM Web Conf.
Volume 59, 2024
II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023)
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 7 | |
| Section | Adaptive Intelligence: Exploring Learning in Evolutionary Algorithms and Neural Networks | |
| DOI | https://doi.org/10.1051/itmconf/20245904005 | |
| Published online | 25 January 2024 | |
Modeling reflection in artificial intelligence systems: state of art and prospects
1
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,
Kaliningrad
236022,
Russian Federation
2
Avtotor Information Technologies LLC,
4a Magnitogorskaya Str,
Kaliningrad
236013,
Russian Federation
* Corresponding author: ser-list-post@yandex.ru
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
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