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.

Original languageEnglish
Title of host publicationMathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings
EditorsAlexander Kononov, Michael Khachay, Valery A. Kalyagin, Panos Pardalos
PublisherSpringer Nature
Pages212-230
Number of pages19
ISBN (Print)9783030499877
DOIs
StatePublished - 1 Jan 2020
Event19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020 - Novosibirsk, Russian Federation
Duration: 6 Jul 202010 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12095 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference19th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2020
Country/TerritoryRussian Federation
CityNovosibirsk
Period6/07/2010/07/20

    Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

    Research areas

  • Differential games with continuous updating, Linear quadratic differential games, Nash equilibrium

ID: 62445314