egttools.behaviors.CRD.moving_average.AbstractCRDStrategy

class AbstractCRDStrategy(self: egttools.numerical.numerical_.behaviors.CRD.AbstractCRDStrategy)

Bases: pybind11_object

Abstract base class for strategies in collective-risk dilemma games.

Methods

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

__init__(self: egttools.numerical.numerical_.behaviors.CRD.AbstractCRDStrategy) → None

__new__(**kwargs)

get_action(self: egttools.numerical.numerical_.behaviors.CRD.AbstractCRDStrategy, time_step: SupportsInt | SupportsIndex, group_contributions_prev: SupportsInt | SupportsIndex) → int

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__ = {}