• DocumentCode
    3526346
  • Title

    A Nash Game with long-term and short-term players

  • Author

    Papavassilopoulos, George P. ; Abou-Kandil, Hisham ; Jungers, Marc

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Tech. Univ. of Athens, Athens, Greece
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    1726
  • Lastpage
    1731
  • Abstract
    We formulate and study a game where there is a player who is involved for a long time interval and several small players who stay in the game for short time intervals. The long-term player plays open loop whereas the short-term players play memoryless closed loop or open loop. This is motivated by the fact that the long-term player is a player who usually represents a state or institutional authority that has to commit himself to long-term plans and regulations that are announced in advance and remain unchanged for a long time, whereas the short-term players not having such an institutional role can change policies arbitrarily often. We study this game for Nash strategies in a Linear Quadratic discrete time deterministic set-up. For the memoryless closed loop strategies we confine ourselves to strategies linear in the state. The derived associated Riccati-type equations are of a novel character and are of interest as such. Comparisons with the case where all players play memoryless closed loop or open loop are carried out.
  • Keywords
    Riccati equations; game theory; Nash game; Riccati-type equations; institutional authority; institutional role; linear quadratic discrete time deterministic set-up; long time interval player; long-term players; memoryless closed loop; memoryless open loop; short time intervals; short-term players; small player; Biological system modeling; Equations; Europe; Games; Mathematical model; Nash equilibrium; Symmetric matrices; Different and Overlapping Time Horizons; Linear Quadratic games; Memoryless Closed Loop strategy; Nash strategy; Open Loop strategy; Overlapping Generations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6760131
  • Filename
    6760131