Ссылки

DOI

The paper studies a linear-quadratic pollution control model for which a term named value of cooperation (VC) subordinated to value of information (VI) is introduced. Namely, the quantification of possible benefit or loss occurring under the circumstance where the players choose to play the game in a cooperative way or refuse to act as a coalition is being presented. In the paper, the construction of VC consists of the Shapley value involving four various types of characteristic functions which steer the performance of normalized value of cooperation (NVC) toward quite similar direction and an elaborate analysis related to the actual scenario is ensuing. Both of characteristics (VC and NVC) are new in the field of game theory and can be further applied to a wide class of problems. Theoretical results are demonstrated with a numerical example on the basis of pollution data contributed by three local enterprises in Penza (City of Russia).

Язык оригиналаанглийский
Название основной публикацииMathematical Optimization Theory and Operations Research - 21st International Conference, MOTOR 2022, Proceedings
РедакторыPanos Pardalos, Michael Khachay, Vladimir Mazalov
ИздательSpringer Nature
Страницы221-234
Число страниц14
ISBN (печатное издание)9783031096068
DOI
СостояниеОпубликовано - 2022
Событие21st International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2022 - Petrozavodsk, Российская Федерация
Продолжительность: 2 июл 20226 июл 2022

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том13367 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция21st International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2022
Страна/TерриторияРоссийская Федерация
ГородPetrozavodsk
Период2/07/226/07/22

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 98356928