edu.cuny.cat.trader.strategy
Class StimuliResponseStrategy

java.lang.Object
  java.util.Observable
      edu.cuny.cat.trader.strategy.AbstractStrategy
          edu.cuny.cat.trader.strategy.FixedQuantityStrategyImpl
              edu.cuny.cat.trader.strategy.AdaptiveStrategyImpl
                  edu.cuny.cat.trader.strategy.DiscreteLearnerStrategy
                      edu.cuny.cat.trader.strategy.StimuliResponseStrategy

All Implemented Interfaces:

AuctionEventListener, AdaptiveStrategy, FixedQuantityStrategy, Strategy, edu.cuny.config.param.Parameterizable, edu.cuny.obj.Prototypeable, edu.cuny.obj.Resetable, java.io.Serializable, java.lang.Cloneable

public class StimuliResponseStrategy
extends DiscreteLearnerStrategy
implements java.io.Serializable

A trading strategy that uses a stimuli-response learning algorithm, such as the Roth-Erev algorithm, to adapt its trading behaviour in successive auction rounds by using the agent's profits in the last round as a reward signal.

Parameters

base.learner classname, inherits StimuliResponseLearner

(the learning algorithm to use)

Default Base

stimuli_response_strategy

Version:

$Revision: 1.19 $

Author:

Steve Phelps

See Also:

Serialized Form

Field Summary

protected edu.cuny.ai.learning.StimuliResponseLearner	learner The learning algorithm to use.
static java.lang.String	P_DEF_BASE
static java.lang.String	P_LEARNER

Fields inherited from class edu.cuny.cat.trader.strategy.DiscreteLearnerStrategy

markupScale

Fields inherited from class edu.cuny.cat.trader.strategy.FixedQuantityStrategyImpl

quantity

Fields inherited from class edu.cuny.cat.trader.strategy.AbstractStrategy

agent, currentShout, MIN_PRICE_DIFFERENCE

Constructor Summary

StimuliResponseStrategy()

StimuliResponseStrategy(AbstractTradingAgent agent)

Method Summary

int	act() Generate an action from the learning algorithm.
edu.cuny.ai.learning.Learner	getLearner()
void	learn() Perform learning.
java.lang.Object	protoClone()
void	reset()
void	setLearner(edu.cuny.ai.learning.Learner learner)
void	setup(edu.cuny.config.param.ParameterDatabase parameters, edu.cuny.config.param.Parameter base)
java.lang.String	toString()

Methods inherited from class edu.cuny.cat.trader.strategy.DiscreteLearnerStrategy

eventOccurred, getMarkupScale, modifyShout, setMarkupScale

Methods inherited from class edu.cuny.cat.trader.strategy.FixedQuantityStrategyImpl

determineQuantity, getQuantity, setQuantity

Methods inherited from class edu.cuny.cat.trader.strategy.AbstractStrategy

getAgent, initialize, modifyShout, requiresAuctionHistory, setAgent

Methods inherited from class java.util.Observable

addObserver, clearChanged, countObservers, deleteObserver, deleteObservers, hasChanged, notifyObservers, notifyObservers, setChanged

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cuny.cat.trader.strategy.Strategy

determineQuantity, modifyShout, requiresAuctionHistory, setAgent

Field Detail

learner

protected edu.cuny.ai.learning.StimuliResponseLearner learner

The learning algorithm to use.

P_DEF_BASE

public static final java.lang.String P_DEF_BASE

See Also:

Constant Field Values

P_LEARNER

public static final java.lang.String P_LEARNER

See Also:

Constant Field Values

Constructor Detail

StimuliResponseStrategy

public StimuliResponseStrategy()

StimuliResponseStrategy

public StimuliResponseStrategy(AbstractTradingAgent agent)

Method Detail

setup

public void setup(edu.cuny.config.param.ParameterDatabase parameters,
                  edu.cuny.config.param.Parameter base)

Specified by:

setup in interface edu.cuny.config.param.Parameterizable

Overrides:

setup in class DiscreteLearnerStrategy

reset

public void reset()

Specified by:

reset in interface edu.cuny.obj.Resetable

Overrides:

reset in class AbstractStrategy

protoClone

public java.lang.Object protoClone()

Specified by:

protoClone in interface edu.cuny.obj.Prototypeable

Overrides:

protoClone in class AbstractStrategy

act

public int act()

Description copied from class: DiscreteLearnerStrategy

Generate an action from the learning algorithm.

Specified by:

act in class DiscreteLearnerStrategy

learn

public void learn()

Description copied from class: DiscreteLearnerStrategy

Perform learning.

Specified by:

learn in class DiscreteLearnerStrategy

getLearner

public edu.cuny.ai.learning.Learner getLearner()

Specified by:

getLearner in interface AdaptiveStrategy

setLearner

public void setLearner(edu.cuny.ai.learning.Learner learner)

Specified by:

setLearner in interface AdaptiveStrategy

toString

public java.lang.String toString()

Overrides:

toString in class DiscreteLearnerStrategy