Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
The class of differential games with continuous updating is quite new, there it is assumed that at each time instant, players use information about the game structure (motion equations and payoff functions of players) defined on a closed time interval with a fixed duration. As time goes on, information about the game structure updates. A linear-quadratic case for this class of games is particularly important for practical problems arising in the engineering of human-machine interaction. In this paper, it is particularly interesting that the open-loop strategies are used to construct the optimal ones, but subsequently, we obtain strategies in the feedback form. Using these strategies the notions of Shapley value and Nash equilibrium as optimality principles for cooperative and non-cooperative cases respectively are defined and the optimal strategies for the linear-quadratic case are presented.
Язык оригинала | английский |
---|---|
Название основной публикации | Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings |
Редакторы | Alexander Kononov, Michael Khachay, Valery A. Kalyagin, Panos Pardalos |
Издатель | Springer Nature |
Страницы | 212-230 |
Число страниц | 19 |
ISBN (печатное издание) | 9783030499877 |
DOI | |
Состояние | Опубликовано - 1 янв 2020 |
Событие | 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020 - Novosibirsk, Российская Федерация Продолжительность: 6 июл 2020 → 10 июл 2020 |
Название | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
---|---|
Том | 12095 LNCS |
ISSN (печатное издание) | 0302-9743 |
ISSN (электронное издание) | 1611-3349 |
конференция | 19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020 |
---|---|
Страна/Tерритория | Российская Федерация |
Город | Novosibirsk |
Период | 6/07/20 → 10/07/20 |
ID: 62445314