DOI

A class of cooperative differential games on networks is considered. It is supposed that players have the possibility to cut connections with neighbours in each time instant of the game. This gives the possibility to compute the values of characteristic function for each coalition as a joint payoff of players from this coalition without payments induced by actions of players outside the coalition. Thus the characteristic function is evaluated along the cooperative trajectory. It measures the worth of coalitions under the process of cooperation instead of under minimax confrontation or the Nash non-cooperative stance. The approach essentially simplifies the construction of the characteristic function and cooperative solutions such as the Shapley value and others. Also, it is proved that the proposed characteristic function is convex and as a result, the Shapley value belongs to the core.

Язык оригиналаанглийский
Название основной публикацииMathematical Optimization Theory and Operations Research
Подзаголовок основной публикацииRecent Trends - 20th International Conference, MOTOR 2021, Revised Selected Papers
РедакторыAlexander Strekalovsky, Yury Kochetov, Tatiana Gruzdeva, Andrei Orlov
ИздательSpringer Nature
Страницы403-416
Число страниц14
ISBN (печатное издание)9783030864323
DOI
СостояниеОпубликовано - 2021
Событие20th International Conference on Mathematical Optimization Theory and Operations Research , MOTOR 2021 - Virtual, Online, Российская Федерация
Продолжительность: 5 июл 202110 июл 2021
Номер конференции: 20
https://conference.icc.ru/event/3

Серия публикаций

НазваниеCommunications in Computer and Information Science
Том1476 CCIS
ISSN (печатное издание)1865-0929
ISSN (электронное издание)1865-0937

конференция

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