Aggregate Estimates of Reflexive Collective Behavior Dynamics in a Cournot Oligopoly Model

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Automation and Remote Control Pub Date : 2024-12-05 DOI:10.1134/S0005117924700176
G. I. Algazin, D. G. Algazina
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Abstract

This paper considers an oligopoly model with an arbitrary number of Cournot-reflexive agents under incomplete information in the classical case of linear cost and demand functions. Agents make decisions based on a collective behavior model. The problem of identifying convergence conditions to the model equilibrium is studied, with an emphasis placed on the trajectory of the sum of the action residuals of all agents. Aggregate estimates of this trajectory are obtained. They can be used to judge how the trajectory of each agent evolves towards the equilibrium.

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古诺寡占模型中反思性集体行为动力学的总体估计
本文研究了在成本和需求函数为线性的经典情况下,不完全信息条件下具有任意数量的古诺自反代理的寡头垄断模型。代理根据集体行为模型做出决策。研究了模型均衡收敛条件的识别问题,重点研究了所有主体的动作残差之和的轨迹。得到了该轨迹的总体估计。它们可以用来判断每个主体的轨迹是如何向均衡发展的。
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来源期刊
Automation and Remote Control
Automation and Remote Control 工程技术-仪器仪表
CiteScore
1.70
自引率
28.60%
发文量
90
审稿时长
3-8 weeks
期刊介绍: Automation and Remote Control is one of the first journals on control theory. The scope of the journal is control theory problems and applications. The journal publishes reviews, original articles, and short communications (deterministic, stochastic, adaptive, and robust formulations) and its applications (computer control, components and instruments, process control, social and economy control, etc.).
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