有顽固代理的舆论动态博弈中的堆栈伯格解决方案

IF 1.9 4区 经济学 Q2 ECONOMICS Computational Economics Pub Date : 2024-04-29 DOI:10.1007/s10614-024-10601-9
Yulia Kareeva, Artem Sedakov, Mengke Zhen
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引用次数: 0

摘要

本文以弗里德金-约翰逊模型为基础,研究了一个社会群体中两个主动参与者(影响者)的意见动态博弈。在博弈中,我们假定主动代理对群体中其他(被动)代理的意见施加影响的努力是有先后顺序的。我们将斯塔克尔伯格解描述为顺序博弈下的适当解概念。然后,我们用一系列从不同方面量化解决方案的方法对其进行分析:(i) 信息结构的作用,即开环与反馈,(ii) 连续行动比同时行动的优势,以及 (iii) 在博弈中做领导者是否比做跟随者更划算。最后,我们对 Zachary 的空手道俱乐部网络进行了数值模拟,以了解斯塔克尔伯格解对表征代理对其初始意见的固执程度的参数变化的敏感程度。结果表明,信息结构的影响微乎其微;然而,开环政策的最大优势可以在一个完全服从的社会中实现。在这样的社会中,影响者的努力会变得更有效率,从而减少意见的传播。此外,我们还观察到,追随者在博弈中占有优势,这迫使每个影响者推迟行动,直到另一方采取行动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Stackelberg Solutions in an Opinion Dynamics Game with Stubborn Agents

The paper examines an opinion dynamics game in a social group with two active agents (influencers) based on the Friedkin–Johnsen model. In the game, we assume sequential announcements of influence efforts by the active agents on the opinions of other (passive) agents of the group. We characterize the Stackelberg solutions as proper solution concepts under sequential play. We then analyze the solutions with a number of measures that quantify them in different aspects: (i) the role of the information structure, i.e., open-loop vs. feedback, (ii) the advantage of sequential over simultaneous moves, and (iii) whether being a leader in the game is more cost-effective than being a follower. Finally, we perform numerical simulations for Zachary’s karate club network to understand how the Stackelberg solutions are sensitive to a change in a parameter characterizing the stubbornness of agents to their initial opinions. The results indicate that the information structure has minimal effect; however, the greatest advantage of the open-loop policy could be achieved with a fully conforming society. In such a society, the efforts of influencers become more efficient, reducing the spread of opinions. Additionally, we observe that the follower has an advantage in the game, which forces each influencer to delay their action until the other one acts.

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来源期刊
Computational Economics
Computational Economics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
15.00%
发文量
119
审稿时长
12 months
期刊介绍: Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing
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