Uses of Class
clarion.system.Dimension

Packages that use Dimension
clarion.system   
clarion.tools   
 

Uses of Dimension in clarion.system
 

Methods in clarion.system that return Dimension
 Dimension Dimension.clone()
          Clones the dimension (including all of it's Values).
 Dimension Goal.put(java.lang.Object key, Dimension dim)
          Puts the dimension into the goal as long as the dimension is not already in the goal.
 Dimension DimensionValueCollection.put(java.lang.Object key, Dimension dim)
          Puts the dimension into the dimension-value collection as long as the dimension is not already in the dimension-value collection.
 Dimension AbstractAction.put(java.lang.Object key, Dimension dim)
          Puts the dimension into the action as long as the dimension is not already in the action.
 

Methods in clarion.system that return types with arguments of type Dimension
 java.util.Collection<Dimension> AbstractImplicitModule.getInput()
          Gets the input nodes in the form of a dimension-value collection.
 java.util.Collection<Dimension> CLARION.getInternalInputSpace()
          Gets the internal representation of the input space from this instance of CLARION.
 java.util.Collection<Dimension> QBPNet.getNewInput()
          Returns the new input in the form of a dimension-value collection.
 java.util.Collection<Dimension> InterfaceHandlesNewInput.getNewInput()
          Gets the new inputs.
 

Methods in clarion.system with parameters of type Dimension
 Dimension Goal.put(java.lang.Object key, Dimension dim)
          Puts the dimension into the goal as long as the dimension is not already in the goal.
 Dimension DimensionValueCollection.put(java.lang.Object key, Dimension dim)
          Puts the dimension into the dimension-value collection as long as the dimension is not already in the dimension-value collection.
 Dimension AbstractAction.put(java.lang.Object key, Dimension dim)
          Puts the dimension into the action as long as the dimension is not already in the action.
 

Method parameters in clarion.system with type arguments of type Dimension
 double GeneralizedConditionChunk.getStrength(java.util.Collection<? extends Dimension> CurrentInput)
          Gets the strength of the condition based on the current input.
 void Goal.putAll(java.util.Map<? extends java.lang.Object,? extends Dimension> map)
          Puts all of the dimensions in the map into the goal as long as the dimensions are not already in the goal.
 void DimensionValueCollection.putAll(java.util.Map<? extends java.lang.Object,? extends Dimension> map)
          Puts all of the dimensions in the map into the dimension-value collection as long as the dimensions are not already in the dimension-value collection.
 void AbstractAction.putAll(java.util.Map<? extends java.lang.Object,? extends Dimension> map)
          Puts all of the dimensions in the specified map into the action as long as the dimensions are not already in the action.
 void QBPNet.setNewInput(java.util.Collection<Dimension> input)
          Sets the activations for the new input to the specified input.
 void InterfaceHandlesNewInput.setNewInput(java.util.Collection<Dimension> input)
          Sets the new input.
protected  void CLARION.updateInputSpace(java.util.Collection<Dimension> c)
          Updates the input space based on the specified collection of dimension-value pairs.
protected  void AbstractSubsystem.updateInputSpace(java.util.Collection<Dimension> c)
          Updates the input space based on the specified collection of dimension-value pairs.
protected  void AbstractIntermediateModule.updateInputSpace(java.util.Collection<Dimension> c)
          Updates the input space based on the specified collection of dimension-value pairs.
 

Constructor parameters in clarion.system with type arguments of type Dimension
AbstractAction(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the action with the specified ID and dimensions.
AbstractAction(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the action with the specified ID and map of dimensions.
AbstractChunk(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the chunk with the specified ID and dimensions.
AbstractChunk(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the chunk with the specified ID and map of dimensions.
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.
AbstractOutputChunk(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the output chunk with the specified ID and dimensions.
AbstractOutputChunk(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the output chunk with the specified ID and map of dimensions.
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.
DimensionValueCollection(java.util.Collection<? extends Dimension> dims)
          Initializes a dimension-value collection with the collection of dimensions specified.
DimensionValueCollection(java.util.Map<? extends java.lang.Object,? extends Dimension> map)
          Initializes the dimension-value collection with the map of dimensions.
DriveEquation(java.lang.Object id, java.util.Collection<Dimension> InputSpace, AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
          Initializes a drive equation.
ExternalAction(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the external action with the specified ID and dimensions.
ExternalAction(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the external action with the specified ID and map of dimensions.
GeneralizedConditionChunk(java.util.Collection<? extends Dimension> dims)
          Initializes a condition with the collection of dimensions specified.
GeneralizedConditionChunk(java.util.Map<? extends java.lang.Object,? extends Dimension> map)
          Initializes the condition with the map of dimensions.
Goal(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the goal with the specified ID and dimensions.
Goal(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the goal with the specified ID and map of dimensions.
GoalAction(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the goal action with the specified ID and dimensions.
GoalAction(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the goal action with the specified ID and map of dimensions.
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.
WorkingMemoryAction(java.lang.Object id, java.util.Collection<? extends Dimension> dims)
          Initializes the working memory action with the specified ID and dimensions.
WorkingMemoryAction(java.lang.Object id, java.util.Map<? extends java.lang.Object,? extends Dimension> dims)
          Initializes the working memory action with the specified ID and map of dimensions.
 

Uses of Dimension in clarion.tools
 

Methods in clarion.tools with parameters of type Dimension
private  void TrainableImplicitModulePreTrainer.innerLoop(AbstractTrainableImplicitModule target, AbstractImplicitModule trainer, java.util.ListIterator<Dimension> dim, java.util.ListIterator<? extends Value> val, Dimension d, Value v, TrainableImplicitModulePreTrainer.SumSquaredErrorTracker sqe)
          The inner loop of the dataRecursor method.
 

Method parameters in clarion.tools with type arguments of type Dimension
private  void TrainableImplicitModulePreTrainer.dataRecursor(AbstractTrainableImplicitModule target, AbstractImplicitModule trainer, java.util.ListIterator<Dimension> dim, java.util.ListIterator<? extends Value> val, TrainableImplicitModulePreTrainer.SumSquaredErrorTracker sqe)
          Recursive method that iterates over the dimensions of a dimension-value collection (from the data set and trains the specified target implicit module based on the outputs from the specified trainer implicit module.
private  void TrainableImplicitModulePreTrainer.innerLoop(AbstractTrainableImplicitModule target, AbstractImplicitModule trainer, java.util.ListIterator<Dimension> dim, java.util.ListIterator<? extends Value> val, Dimension d, Value v, TrainableImplicitModulePreTrainer.SumSquaredErrorTracker sqe)
          The inner loop of the dataRecursor method.