Altruistic-Like Equilibrium in a Differential Game of Renewable Resource Extraction

Vladimir Mazalov, Elena Parilina, Jiangjing Zhou

Результат исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

We consider a model of renewable resource extraction described by a differential game with infinite horizon. The environmental problems are often considered from cooperative prospective as selfish behavior of the players may negatively affects not only on other players’ profits, but also on the environment. The reason is the joint stock of resource which is influenced by all players. We characterize the Berge and altruistic equilibrium in a differential game of renewable resource extraction and compare them with the Nash equilibrium. According to the concept of altruistic equilibrium players can choose the part of the other players’ payoffs they support and summarize with the part of their own profit. This equilibrium can be considered as an intermediate between Berge and Nash equilibria. We make numerical simulations and demonstrate theoretical results for the case of n symmetric players.

Язык оригиналаанглийский
Название основной публикацииMathematical Optimization Theory and Operations Research - 20th International Conference, MOTOR 2021, Proceedings
РедакторыPanos Pardalos, Michael Khachay, Alexander Kazakov
ИздательSpringer Nature
Страницы326-339
Число страниц14
ISBN (печатное издание)9783030778750
DOI
СостояниеОпубликовано - 2021
Событие20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021 - Irkutsk, Российская Федерация
Продолжительность: 5 июл 202110 июл 2021

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том12755 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция20th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2021
Страна/TерриторияРоссийская Федерация
ГородIrkutsk
Период5/07/2110/07/21

Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

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