edu.cuny.cat.trader.strategy
Class DiscreteLearnerStrategy

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

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

Direct Known Subclasses:

StimuliResponseStrategy

public abstract class DiscreteLearnerStrategy
extends AdaptiveStrategyImpl
implements java.io.Serializable

A class representing a strategy in which we adapt our bids using a discrete learning algorithm.

Parameters

base.markupscale double >= 0

(scaling factor by which to multiply the output from the learner)

Default Base

discrete_learner_strategy

Version:

$Revision: 1.15 $

Author:

Steve Phelps

See Also:

Serialized Form

Field Summary

protected double	markupScale A scaling factor used to multiply-up the output from the learning algorithm.
static java.lang.String	P_DEF_BASE

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

DiscreteLearnerStrategy()

DiscreteLearnerStrategy(AbstractTradingAgent agent)

Method Summary

abstract int	act() Generate an action from the learning algorithm.
void	eventOccurred(AuctionEvent event)
double	getMarkupScale()
abstract void	learn() Perform learning.
boolean	modifyShout(Shout.MutableShout shout) Modify the price and quantity of the given shout according to this strategy.
void	setMarkupScale(double markupScale)
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.FixedQuantityStrategyImpl

determineQuantity, getQuantity, setQuantity

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

getAgent, initialize, modifyShout, protoClone, requiresAuctionHistory, reset, 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.AdaptiveStrategy

getLearner, setLearner

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

determineQuantity, modifyShout, requiresAuctionHistory, setAgent

Methods inherited from interface edu.cuny.obj.Prototypeable

protoClone

Methods inherited from interface edu.cuny.obj.Resetable

reset

Field Detail

markupScale

protected double markupScale

A scaling factor used to multiply-up the output from the learning algorithm.

P_DEF_BASE

public static final java.lang.String P_DEF_BASE

See Also:

Constant Field Values

Constructor Detail

DiscreteLearnerStrategy

public DiscreteLearnerStrategy()

DiscreteLearnerStrategy

public DiscreteLearnerStrategy(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 FixedQuantityStrategyImpl

eventOccurred

public void eventOccurred(AuctionEvent event)

Specified by:

eventOccurred in interface AuctionEventListener

Overrides:

eventOccurred in class AdaptiveStrategyImpl

modifyShout

public boolean modifyShout(Shout.MutableShout shout)

Description copied from class: AbstractStrategy

Modify the price and quantity of the given shout according to this strategy.

Overrides:

modifyShout in class FixedQuantityStrategyImpl

Returns:

false if no shout is to be placed at this time

getMarkupScale

public double getMarkupScale()

setMarkupScale

public void setMarkupScale(double markupScale)

act

public abstract int act()

Generate an action from the learning algorithm.

learn

public abstract void learn()

Perform learning.

toString

public java.lang.String toString()

Overrides:

toString in class FixedQuantityStrategyImpl