不同需求和成本函数及多级领导下寡头垄断博弈的数量猜想变化

IF 0.6 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS Automation and Remote Control Pub Date : 2024-11-05 DOI:10.1134/S0005117924700061
M. I. Geraskin
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引用次数: 0

摘要

本文探讨了在一般需求和成本函数条件下,寡头垄断市场中企业间数量竞争的非合作博弈。每家公司对其他公司战略的最佳反应都是通过其猜想变数的大小和符号来评估的,猜想变数表达了公司对对手供应量变化的预期,而对手的供应量变化是对公司单位供应量变化的反应。本文研究了一个由 n 家公司组成的博弈,以所有对手的猜想变化之和(SCV)作为广义响应特征。研究揭示了博弈方反应分叉的存在;分叉是博弈的一种策略特征,在这种策略特征中,正反应和负反应都有可能出现,SCV 值为无限大。本文提出了在不同类型的反需求函数(线性和幂函数)和成本函数(线性、幂函数和二次函数)下计算 SCV 值的方法,并比较分析了企业的这些特征对分岔状态的影响。
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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Quantity Conjectural Variations in Oligopoly Games under Different Demand and Cost Functions and Multilevel Leadership

This paper considers a noncooperative game of quantity competition among firms in an oligopoly market under general demand and cost functions. Each firm’s optimal response to the strategies of other firms is assessed by the magnitude and sign of its conjectural variation, expressing the firm’s expectation regarding the counterparty’s supply quantity change in response to the firm’s unit change in its supply quantity. A game of n firms with the sum of conjectural variations (SCV) regarding all counterparties as the generalized response characteristic is studied. The existence of a bifurcation of the players' response is revealed; a bifurcation is a strategy profile of the game in which both positive and negative responses are possible with an infinite-magnitude SCV value. Methods are developed for calculating the SCV value under different types of inverse demand functions (linear and power) and cost functions (linear, power, and quadratic), and the impact of these characteristics of firms on the bifurcation state is comparatively analyzed.

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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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