egttools.behaviors.CRD.MovingAverageCRDStrategy

class MovingAverageCRDStrategy(a0, aa, am, ab, group_size)

Bases: AbstractCRDStrategy

A CRD strategy which adapts in function of a moving average of the contributions of the rest of the group.

Parameters:

• a0 (int) – how much to contribute in the initial round.

• aa (int) – how much to contribute when you have contributed above the average of the group in the previous round.

• am (int) – how much to contribute when you have contributed equal to the average of the group in the previous round.

• ab (int) – how much to contribute when you have contributed below the average of the group in the previous round.

• group_size (int) – Size of the group.

Methods

get_action	Return the action chosen by the strategy.
type	Return the strategy type.

__init__(a0, aa, am, ab, group_size)

A CRD strategy which adapts in function of a moving average of the contributions of the rest of the group.

Parameters:

• a0 (int) – how much to contribute in the initial round.

• aa (int) – how much to contribute when you have contributed above the average of the group in the previous round.

• am (int) – how much to contribute when you have contributed equal to the average of the group in the previous round.

• ab (int) – how much to contribute when you have contributed below the average of the group in the previous round.

• group_size (int) – Size of the group.

__new__(**kwargs)

__str__()

Return str(self).

get_action(time_step, group_contributions_prev)

Return the action chosen by the strategy.

Parameters:

• time_step (int) – Current round.

• group_contributions_prev (int) – Sum of contributions of the other group members in the previous round.

Returns:

Action selected by the strategy.

Return type:

int

See also

egttools.behaviors.CRD.CRDMemoryOnePlayer

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

Return the strategy type.

__annotations__ = {}