Uses of Class
clarion.system.AbstractOutputChunkCollection

Packages that use AbstractOutputChunkCollection
clarion.system   
 

Uses of AbstractOutputChunkCollection in clarion.system
 

Subclasses of AbstractOutputChunkCollection in clarion.system
 class ActionCollection
          This class implements an action collection within CLARION.
 class DimensionlessOutputChunkCollection
          This class implements a dimension-less output chunk collection within CLARION.
 class DriveStrengthCollection
          This class implements a drive strength collection within CLARION.
 class GoalCollection
          This class implements a goal collection within CLARION.
 

Fields in clarion.system declared as AbstractOutputChunkCollection
protected  AbstractOutputChunkCollection<? extends AbstractOutputChunk> AbstractTrainableImplicitModule.DesiredOutput
          The desired output.
protected  AbstractOutputChunkCollection<? extends AbstractOutputChunk> AbstractImplicitModule.Output
          The output layer.
 

Fields in clarion.system with type parameters of type AbstractOutputChunkCollection
private  java.util.HashMap<DimensionValueCollection,AbstractOutputChunkCollection<? extends AbstractOutputChunk>> TableLookup.LookupTable
          The hash map backed table lookup.
 

Methods in clarion.system that return AbstractOutputChunkCollection
abstract  AbstractOutputChunkCollection<? extends C> AbstractOutputChunkCollection.clone()
           
 

Constructors in clarion.system with parameters of type AbstractOutputChunkCollection
AbstractEquation(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes an equation.
AbstractImplicitModule(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes an implicit module.
AbstractNeuralNet(java.util.Collection<Dimension> InputSpace, int NumHidden, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a neural network.
AbstractRuntimeTrainableBPNet(java.util.Collection<Dimension> InputSpace, int NumHidden, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a backpropagating neural network that is capable of being trained during runtime.
AbstractRuntimeTrainableImplicitModule(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes an implicit module that is capable of being trained during runtime.
AbstractTrainableImplicitModule(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes the trainable implicit module.
ACSLevelProbabilitySettingEquation(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes the ACS level probability setting equation.
BPNet(java.util.Collection<Dimension> InputSpace, int NumHidden, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a backpropagating neural network.
DriveEquation(java.lang.Object id, java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a drive equation.
GoalSelectionEquation(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes the goal selection equation.
QBPNet(java.util.Collection<Dimension> InputSpace, int NumHidden, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a backpropagating neural network that uses Q-Learning for training the network.
SimplifiedQBPNet(java.util.Collection<Dimension> InputSpace, int NumHidden, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a backpropagating neural network that uses simplified Q-Learning for training the network.
TableLookup(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs, java.util.Map<DimensionValueCollection,AbstractOutputChunkCollection<? extends AbstractOutputChunk>> Table)
          Initializes the table lookup with the input space, outputs, and map specified.
 

Constructor parameters in clarion.system with type arguments of type AbstractOutputChunkCollection
TableLookup(java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs, java.util.Map<DimensionValueCollection,AbstractOutputChunkCollection<? extends AbstractOutputChunk>> Table)
          Initializes the table lookup with the input space, outputs, and map specified.