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Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set. / Gao, J.

Frontiers of Dynamic Games: Proceedings of the International Conference “Game Theory and Applications” 2022. Springer Nature, 2024. p. 27-42 (Trends in Mathematics; Vol. Part F3521).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Harvard

Gao, J 2024, Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set. in Frontiers of Dynamic Games: Proceedings of the International Conference “Game Theory and Applications” 2022. Trends in Mathematics, vol. Part F3521, Springer Nature, pp. 27-42, The International Conference “Game Theory and Applications”, Санкт-Петербург, Russian Federation, 28/06/22. https://doi.org/10.1007/978-3-031-66379-6_3

APA

Gao, J. (2024). Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set. In Frontiers of Dynamic Games: Proceedings of the International Conference “Game Theory and Applications” 2022 (pp. 27-42). (Trends in Mathematics; Vol. Part F3521). Springer Nature. https://doi.org/10.1007/978-3-031-66379-6_3

Vancouver

Gao J. Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set. In Frontiers of Dynamic Games: Proceedings of the International Conference “Game Theory and Applications” 2022. Springer Nature. 2024. p. 27-42. (Trends in Mathematics). https://doi.org/10.1007/978-3-031-66379-6_3

Author

Gao, J. / Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set. Frontiers of Dynamic Games: Proceedings of the International Conference “Game Theory and Applications” 2022. Springer Nature, 2024. pp. 27-42 (Trends in Mathematics).

BibTeX

@inproceedings{55d9e8cc6518464ea16fd746dce5571a,
title = "Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set",
abstract = "We consider a small social network consisting of two agents and one player. The agents{\textquoteright} opinions are influenced by the average social opinion, and the player who also influences the agents{\textquoteright} opinions. The player chooses the set of times to influence only one agent{\textquoteright}s opinion, as well as the level of influence to make the society{\textquoteright}s opinion as close to his target opinion as possible. The player solves the minimization problem of his costs. In this paper, the player has two options for creating a set of time to control the agent{\textquoteright}s opinion: (1) the same time moments are used to monitor the agent{\textquoteright}s opinion and control it, and (2) the set of time moments is divided into two subsets, one is for monitoring the agent{\textquoteright}s opinion, and another is to use the controls. The linear quadratic optimal control problem is solved using the Euler equation approach. Numerical simulations verify the theoretical results. {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.",
author = "J. Gao",
note = "Export Date: 10 November 2024; null ; Conference date: 28-06-2022 Through 01-07-2022",
year = "2024",
doi = "10.1007/978-3-031-66379-6_3",
language = "Английский",
series = "Trends in Mathematics",
publisher = "Springer Nature",
pages = "27--42",
booktitle = "Frontiers of Dynamic Games",
address = "Германия",
url = "https://gta2022.spbu.ru/en/",

}

RIS

TY - GEN

T1 - Controlled Opinion Formation in Multiagent Systems with Constraints on Control Set

AU - Gao, J.

N1 - Export Date: 10 November 2024

PY - 2024

Y1 - 2024

N2 - We consider a small social network consisting of two agents and one player. The agents’ opinions are influenced by the average social opinion, and the player who also influences the agents’ opinions. The player chooses the set of times to influence only one agent’s opinion, as well as the level of influence to make the society’s opinion as close to his target opinion as possible. The player solves the minimization problem of his costs. In this paper, the player has two options for creating a set of time to control the agent’s opinion: (1) the same time moments are used to monitor the agent’s opinion and control it, and (2) the set of time moments is divided into two subsets, one is for monitoring the agent’s opinion, and another is to use the controls. The linear quadratic optimal control problem is solved using the Euler equation approach. Numerical simulations verify the theoretical results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

AB - We consider a small social network consisting of two agents and one player. The agents’ opinions are influenced by the average social opinion, and the player who also influences the agents’ opinions. The player chooses the set of times to influence only one agent’s opinion, as well as the level of influence to make the society’s opinion as close to his target opinion as possible. The player solves the minimization problem of his costs. In this paper, the player has two options for creating a set of time to control the agent’s opinion: (1) the same time moments are used to monitor the agent’s opinion and control it, and (2) the set of time moments is divided into two subsets, one is for monitoring the agent’s opinion, and another is to use the controls. The linear quadratic optimal control problem is solved using the Euler equation approach. Numerical simulations verify the theoretical results. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

UR - https://www.mendeley.com/catalogue/05e53e84-c855-30c6-a918-c43704a6d98a/

U2 - 10.1007/978-3-031-66379-6_3

DO - 10.1007/978-3-031-66379-6_3

M3 - статья в сборнике материалов конференции

T3 - Trends in Mathematics

SP - 27

EP - 42

BT - Frontiers of Dynamic Games

PB - Springer Nature

Y2 - 28 June 2022 through 1 July 2022

ER -

ID: 127215299