多智能体意见动态系统的最优控制

Jingjing Gao, E. Parilina
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引用次数: 0

摘要

本文研究了一个多智能体的意见动态系统,对有限社会网络的意见转换进行建模。在系统中,有一个影响者或参与者,他感兴趣的是使系统中代理的意见接近目标意见。我们假设玩家只能在有限的时间段内影响系统。玩家通过选择在这些时刻控制多智能体系统的时刻来最小化自己的成本,同时在任何时期他都要观察智能体的意见。采用欧拉方程法求解优化问题。数值模拟表明了所提出的寻找问题最优解的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Control in a Multiagent Opinion Dynamic System
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.
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