egttools.behaviors.NormalForm.TwoActions.nfg_strategies.AbstractNFGStrategy¶

class AbstractNFGStrategy(self: egttools.numerical.numerical_.behaviors.NormalForm.AbstractNFGStrategy)¶

Bases: pybind11_object

Abstract base class for strategies in repeated two-action normal-form games.

Methods

`get_action`	Return the action chosen by the strategy.
`is_stochastic`	Return whether the strategy is stochastic.
`type`	Return the strategy type.

__init__(self: egttools.numerical.numerical_.behaviors.NormalForm.AbstractNFGStrategy) → None¶

__new__(**kwargs)¶

get_action(self: egttools.numerical.numerical_.behaviors.NormalForm.AbstractNFGStrategy, time_step: SupportsInt | SupportsIndex, action_prev: SupportsInt | SupportsIndex) → int¶

Return the action chosen by the strategy.

Parameters:

time_step (int) – Current round.
action_prev (int) – Previous action of the opponent.

Returns:

Action selected by the strategy.

Return type:

See also

egttools.behaviors.NormalForm.TwoActions.Cooperator, egttools.behaviors.NormalForm.TwoActions.Defector, egttools.behaviors.NormalForm.TwoActions.Random, egttools.behaviors.NormalForm.TwoActions.TFT, egttools.behaviors.NormalForm.TwoActions.SuspiciousTFT, egttools.behaviors.NormalForm.TwoActions.GenerousTFT, egttools.behaviors.NormalForm.TwoActions.GradualTFT, egttools.behaviors.NormalForm.TwoActions.ImperfectTFT, egttools.behaviors.NormalForm.TwoActions.TFTT, egttools.behaviors.NormalForm.TwoActions.TTFT, egttools.behaviors.NormalForm.TwoActions.GRIM, egttools.behaviors.NormalForm.TwoActions.Pavlov

is_stochastic(self: egttools.numerical.numerical_.behaviors.NormalForm.AbstractNFGStrategy) → bool¶: Return whether the strategy is stochastic.

type(self: egttools.numerical.numerical_.behaviors.NormalForm.AbstractNFGStrategy) → str¶: Return the strategy type.

__annotations__ = {}¶