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Deterministic n-person shortest path and terminal games on symmetric digraphs have Nash equilibria in pure stationary strategies

Author

Listed:
  • Endre Boros

    (Rutgers University)

  • Paolo Giulio Franciosa

    (Sapienza University)

  • Vladimir Gurvich

    (Rutgers University
    National Research University)

  • Michael Vyalyi

    (National Research University
    Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences
    Moscow Institute of Physics and Technology)

Abstract

We prove that a deterministic n-person shortest path game has a Nash equlibrium in pure and stationary strategies if it is edge-symmetric (that is (u, v) is a move whenever (v, u) is, apart from moves entering terminal vertices) and the length of every move is positive for each player. Both conditions are essential, though it remains an open problem whether there exists a NE-free 2-person non-edge-symmetric game with positive lengths. We provide examples for NE-free 2-person edge-symmetric games that are not positive. We also consider the special case of terminal games (shortest path games in which only terminal moves have nonzero length, possibly negative) and prove that edge-symmetric n-person terminal games always have Nash equilibria in pure and stationary strategies. Furthermore, we prove that an edge-symmetric 2-person terminal game has a uniform (subgame perfect) Nash equilibrium, provided any infinite play is worse than any of the terminals for both players.

Suggested Citation

  • Endre Boros & Paolo Giulio Franciosa & Vladimir Gurvich & Michael Vyalyi, 2024. "Deterministic n-person shortest path and terminal games on symmetric digraphs have Nash equilibria in pure stationary strategies," International Journal of Game Theory, Springer;Game Theory Society, vol. 53(2), pages 449-473, June.
  • Handle: RePEc:spr:jogath:v:53:y:2024:i:2:d:10.1007_s00182-023-00875-y
    DOI: 10.1007/s00182-023-00875-y
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    References listed on IDEAS

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    1. F. Thuijsman & O. J. Vrieze, 1998. "Total Reward Stochastic Games and Sensitive Average Reward Strategies," Journal of Optimization Theory and Applications, Springer, vol. 98(1), pages 175-196, July.
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