egttools.behaviors.CRD.moving_average.MovingAverageCRDStrategy¶

class MovingAverageCRDStrategy(a0, aa, am, ab, group_size)[source]¶

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`	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__(a0, aa, am, ab, group_size)[source]¶

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.

get_action(time_step, group_contributions_prev)[source]¶

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 (excluding the focal player) in the previous round.

Returns

The action selected by the strategy.

Return type

int

type(self: egttools.numerical.numerical.behaviors.CRD.AbstractCRDStrategy) → str[source]¶: Returns a string indicating the Strategy Type.