egttools.behaviors.CRD.CRDMemoryOnePlayer

class CRDMemoryOnePlayer(self: egttools.numerical.numerical_.behaviors.CRD.CRDMemoryOnePlayer, personal_threshold: int, initial_action: int, action_above: int, action_equal: int, action_below: int)

Bases: AbstractCRDStrategy

This strategy contributes in function of the contributions of the rest of the group in the previous round.

This strategy contributes @param initial_action in the first round of the game, afterwards compares the sum of contributions of the other members of the group in the previous round (a_{-i}(t-1)) to a :param personal_threshold. If the a_{-i}(t-1)) > personal_threshold the agent contributions :param action_above, if a_{-i}(t-1)) = personal_threshold it contributes :param action_equal or if a_{-i}(t-1)) < personal_threshold it contributes :param action_below.

Parameters:

• personal_threshold (int) – threshold value compared to the contributions of the other members of the group

• initial_action (int) – Contribution in the first round

• action_above (int) – contribution if a_{-i}(t-1)) > personal_threshold

• action_equal (int) – contribution if a_{-i}(t-1)) = personal_threshold

• action_below (int) – contribution if a_{-i}(t-1)) < personal_threshold

See also

egttools.behaviors.CRD.AbstractCRDStrategy, egttools.games.AbstractGame, egttools.games.CRDGame, egttools.games.CRDGameTU

Methods

get_action	Returns an action in function of time_step round and the previous action action_prev of the opponent.
type	Returns a string indicating the Strategy Type.

__init__(self: egttools.numerical.numerical_.behaviors.CRD.CRDMemoryOnePlayer, personal_threshold: int, initial_action: int, action_above: int, action_equal: int, action_below: int) → None

This strategy contributes in function of the contributions of the rest of the group in the previous round.

This strategy contributes @param initial_action in the first round of the game, afterwards compares the sum of contributions of the other members of the group in the previous round (a_{-i}(t-1)) to a :param personal_threshold. If the a_{-i}(t-1)) > personal_threshold the agent contributions :param action_above, if a_{-i}(t-1)) = personal_threshold it contributes :param action_equal or if a_{-i}(t-1)) < personal_threshold it contributes :param action_below.

Parameters:

• personal_threshold (int) – threshold value compared to the contributions of the other members of the group

• initial_action (int) – Contribution in the first round

• action_above (int) – contribution if a_{-i}(t-1)) > personal_threshold

• action_equal (int) – contribution if a_{-i}(t-1)) = personal_threshold

• action_below (int) – contribution if a_{-i}(t-1)) < personal_threshold

See also

egttools.behaviors.CRD.AbstractCRDStrategy, egttools.games.AbstractGame, egttools.games.CRDGame, egttools.games.CRDGameTU

__new__(**kwargs)

__str__(self: egttools.numerical.numerical_.behaviors.CRD.CRDMemoryOnePlayer) → str

get_action(self: egttools.numerical.numerical_.behaviors.CRD.CRDMemoryOnePlayer, time_step: int, group_contributions_prev: int) → int

Returns an action in function of time_step round and the previous action action_prev of the opponent.

Parameters:

• time_step (int) – Current round.

• group_contributions_prev (int) – Sum of contributions of the other members of the group (without the focal player) in the previous round.

Returns:

The action selected by the strategy.

Return type:

int

See also

egttools.behaviors.CRD.AbstractCRDStrategy, egttools.games.AbstractGame, egttools.games.CRDGame, egttools.games.CRDGameTU, 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.TFTT, egttools.behaviors.NormalForm.TwoActions.GRIM

type(self: egttools.numerical.numerical_.behaviors.CRD.CRDMemoryOnePlayer) → str

Returns a string indicating the Strategy Type.

__annotations__ = {}