net.sourceforge.jabm.learning
Class DumbLearner

java.lang.Object
  net.sourceforge.jabm.learning.AbstractLearner
      net.sourceforge.jabm.learning.DumbLearner

All Implemented Interfaces:

java.io.Serializable, DiscreteLearner, Learner

public class DumbLearner
extends AbstractLearner
implements DiscreteLearner, java.io.Serializable

A learner that chooses the same specified action on every iteration.

See Also:

Serialized Form

Field Summary

protected int

action

Fields inherited from class net.sourceforge.jabm.learning.AbstractLearner

monitor

Constructor Summary

DumbLearner()

Method Summary

int	act() Request that the learner perform an action.
void	dumpState(DataWriter out) Write out our state data to the specified data writer.
int	getAction()
double	getLearningDelta() Return a value indicative of the amount of learning that occured during the last iteration.
int	getNumberOfActions() Get the number of different possible actions this learner can choose from when it performs an action.
void	setAction(int action)

Methods inherited from class net.sourceforge.jabm.learning.AbstractLearner

monitor

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface net.sourceforge.jabm.learning.Learner

monitor

Field Detail

action

protected int action

Constructor Detail

DumbLearner

public DumbLearner()

Method Detail

setAction

public void setAction(int action)

getAction

public int getAction()

act

public int act()

Description copied from interface: DiscreteLearner

Request that the learner perform an action. Users of the learning algorithm should invoke this method on the learner when they wish to find out which action the learner is currently recommending.

Specified by:

act in interface DiscreteLearner

Returns:

An integer representing the action to be taken.

getLearningDelta

public double getLearningDelta()

Description copied from interface: Learner

Return a value indicative of the amount of learning that occured during the last iteration. Values close to 0.0 indicate that the learner has converged to an equilibrium state.

Specified by:

getLearningDelta in interface Learner

Specified by:

getLearningDelta in class AbstractLearner

Returns:

A double representing the amount of learning that occured.

dumpState

public void dumpState(DataWriter out)

Description copied from interface: Learner

Write out our state data to the specified data writer.

Specified by:

dumpState in interface Learner

Specified by:

dumpState in class AbstractLearner

getNumberOfActions

public int getNumberOfActions()

Description copied from interface: DiscreteLearner

Get the number of different possible actions this learner can choose from when it performs an action.

Specified by:

getNumberOfActions in interface DiscreteLearner

Returns:

An integer value representing the number of actions available.