pyoperant.reinf module

class pyoperant.reinf.BaseSchedule

Bases: object

Maintains logic for deciding whether to consequate trials.

This base class provides the most basic reinforcent schedule: every response is consequated.

Methods: consequate(trial) – returns a boolean value based on whether the trial

should be consequated. Always returns True.

consequate(trial)

class pyoperant.reinf.ContinuousReinforcement

Bases: pyoperant.reinf.BaseSchedule

Maintains logic for deciding whether to consequate trials.

This base class provides the most basic reinforcent schedule: every response is consequated.

Methods: consequate(trial) – returns a boolean value based on whether the trial

should be consequated. Always returns True.

consequate(trial)

class pyoperant.reinf.FixedRatioSchedule(ratio=1)

Bases: pyoperant.reinf.BaseSchedule

Maintains logic for deciding whether to consequate trials.

This class implements a fixed ratio schedule, where a reward reinforcement is provided after every nth correct response, where ‘n’ is the ‘ratio’.

Incorrect trials are always reinforced.

Methods: consequate(trial) – returns a boolean value based on whether the trial

should be consequated.

consequate(trial)

class pyoperant.reinf.PercentReinforcement(prob=1)

Bases: pyoperant.reinf.BaseSchedule

Maintains logic for deciding whether to consequate trials.

This class implements a probabalistic reinforcement, where a reward reinforcement is provided x percent of the time.

Incorrect trials are always reinforced.

Methods: consequate(trial) – returns a boolean value based on whether the trial

should be consequated.

consequate(trial)

class pyoperant.reinf.VariableRatioSchedule(ratio=1)

Bases: pyoperant.reinf.FixedRatioSchedule

Maintains logic for deciding whether to consequate trials.

This class implements a variable ratio schedule, where a reward reinforcement is provided after every a number of consecutive correct responses. On average, the number of consecutive responses necessary is the ‘ratio’. After a reinforcement is provided, the number of consecutive correct trials needed for the next reinforcement is selected by sampling randomly from the interval [1,2*ratio-1]. e.g. a ratio of ‘3’ will require consecutive correct trials of 1, 2, 3, 4, & 5, randomly.

Incorrect trials are always reinforced.

Methods: consequate(trial) – returns a boolean value based on whether the trial

should be consequated.