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Contributions to Game Theory and Management, 2022, Volume 15, Pages 51–59
DOI: https://doi.org/10.21638/11701/spbu31.2022.05
(Mi cgtm414)
 

Optimal control in a multiagent opinion dynamic system

Jingjing Gao, Elena Parilina

St. Petersburg State University, Faculty of Applied Mathematics and Control Processes, 7/9, Universitetskaya nab., St. Petersburg, 199034, Russia
References:
Abstract: The paper considers a multiagent system of opinion dynamics modeling a finite social network opinion transformation. In the system, there is an influencer or a player who is interested in making the agents' opinions in the system close to the target opinion. We assume that the player can influence the system only at a limited number of time periods. The player minimizes his costs by selecting moments to control the multiagent system at these moments, while at any time period he observes the agents' opinions. The optimization problem is solved using the Euler-equation approach. The numerical simulations represent the proposed method of finding the optimal solution of the problem.
Keywords: multiagent system, opinion dynamics, linear-quadratic games, Euler-equation approach.
Funding agency Grant number
Russian Science Foundation 22-11-00051
The work of the second author was supported by the Russian Science Foundation grant No. 22-11-00051, https://rscf.ru/en/project/22-11-00051/.
Bibliographic databases:
Document Type: Article
Language: English
Citation: Jingjing Gao, Elena Parilina, “Optimal control in a multiagent opinion dynamic system”, Contributions to Game Theory and Management, 15 (2022), 51–59
Citation in format AMSBIB
\Bibitem{GaoPar22}
\by Jingjing~Gao, Elena~Parilina
\paper Optimal control in a multiagent opinion dynamic system
\jour Contributions to Game Theory and Management
\yr 2022
\vol 15
\pages 51--59
\mathnet{http://mi.mathnet.ru/cgtm414}
\crossref{https://doi.org/10.21638/11701/spbu31.2022.05}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=4589456}
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