pygambit.nash.logit_solve

pygambit.nash.logit_solve(game: Game, use_strategic: bool = False, maxregret: float = 1e-08, first_step: float = 0.03, max_accel: float = 1.1) → NashComputationResult

Compute Nash equilibria of a game using the logit quantal response equilibrium correspondence.

Returns an approximation to the limiting point on the principal branch of the correspondence for the game.

Parameters:

• game (Game) – The game to compute equilibria in.

• use_strategic (bool, default False) – Whether to use the strategic form. If True, always uses the strategic representation even if the game’s native representation is extensive.

• maxregret (float, default 1e-8) –

  The acceptance criterion for approximate Nash equilibrium; the maximum regret of any player must be no more than maxregret times the difference of the maximum and minimum payoffs of the game

  New in version 16.2.0.

• first_step (float, default .03) –

  The arclength of the initial step.

  New in version 16.2.0.

• max_accel (float, default 1.1) –

  The maximum rate at which to lengthen the arclength step size.

  New in version 16.2.0.

Returns:

res – The result represented as a NashComputationResult object.

Return type:

NashComputationResult