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Управление рефлексивным поведением агентов в модели олигополии Курно

Управление рефлексивным поведением агентов в модели олигополии Курно

Abstract

The model of reflexive behavior of agents in Cournot oligopoly is considered. Agents are split into classes of different level of reflection, and behavior of different classes essentially differs. The game outcome depends on the number of agents in each class (on the distribution of agents by classes). Possibility is considered of manipulating the equilibrium price by changing levels of agents’ reflection. Properties of the optimal price-manipulation mechanism are investigated; and obtained results are discussed.

Рассматривается модель рефлексивного поведения агентов на рынке в олигополии Курно. Агенты разбиваются на классы по уровню рефлексии, причем поведение различных классов существенно отличается. Установившаяся после действий агентов рыночная цена зависит от количества (доли) агентов в каждом классе. Рассматривается возможность управления рыночной ценой с помощью варьирования распределения агентов по уровням рефлексии. Исследуются свойства оптимальных управлений, приводится обсуждение полученных результатов.

Keywords

ОЛИГОПОЛИЯ КУРНО, РЕФЛЕКСИВНОЕ ПОВЕДЕНИЕ, МЕТОД РЕФЛЕКСИВНЫХ РАЗБИЕНИЙ, УПРАВЛЕНИЕ РЫНОЧНОЙ ЦЕНОЙ

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold