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Packages that use AbstractOutputChunk | |
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clarion.system |
Uses of AbstractOutputChunk in clarion.system |
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Classes in clarion.system with type parameters of type AbstractOutputChunk | |
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class |
AbstractOutputChunkCollection<C extends AbstractOutputChunk>
This class implements an abstract output chunk collection within CLARION. |
Subclasses of AbstractOutputChunk in clarion.system | |
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class |
AbstractAction
This class implements an action chunk within CLARION. |
class |
DimensionlessOutputChunk
This class implements a dimension-less output chunk within CLARION. |
class |
DriveStrength
This class implements a drive strength within CLARION. |
class |
ExternalAction
This class implements an external action within CLARION. |
class |
Goal
This class implements a goal within CLARION. |
class |
GoalAction
This class implements a goal action within CLARION. |
class |
WorkingMemoryAction
This class implements a working memory action within CLARION. |
Fields in clarion.system declared as AbstractOutputChunk | |
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protected AbstractOutputChunk |
AbstractImplicitModule.ChosenOutput
The index of the output node relating to the chosen output. |
Fields in clarion.system with type parameters of type AbstractOutputChunk | |
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protected AbstractOutputChunkCollection<? extends AbstractOutputChunk> |
AbstractTrainableImplicitModule.DesiredOutput
The desired output. |
private java.util.HashMap<DimensionValueCollection,AbstractOutputChunkCollection<? extends AbstractOutputChunk>> |
TableLookup.LookupTable
The hash map backed table lookup. |
protected AbstractOutputChunkCollection<? extends AbstractOutputChunk> |
AbstractImplicitModule.Output
The output layer. |
Methods in clarion.system that return AbstractOutputChunk | |
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abstract AbstractOutputChunk |
AbstractOutputChunk.clone()
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AbstractOutputChunk |
InterfaceUsesQLearning.getChosenOutput()
Gets the chosen output from the previous time step. |
AbstractOutputChunk |
AbstractImplicitModule.getChosenOutput()
Gets the chosen output that was last provided to the implicit module. |
AbstractOutputChunk |
AbstractImplicitModule.getOutput(java.lang.Object ID)
Gets the output chunk with the specified ID. |
Methods in clarion.system that return types with arguments of type AbstractOutputChunk | |
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java.util.Collection<? extends AbstractOutputChunk> |
AbstractImplicitModule.getOutput()
Gets the current output. |
Methods in clarion.system with parameters of type AbstractOutputChunk | |
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void |
AbstractImplicitModule.setChosenOutput(AbstractOutputChunk chosenOut)
Sets the chosen output for this implicit module. |
void |
InterfaceTrainable.setDesiredOutput(AbstractOutputChunk DesiredOut)
Sets a specific desired output node given the specified chunk. |
void |
AbstractTrainableImplicitModule.setDesiredOutput(AbstractOutputChunk DesiredOut)
Sets the desired output for the network given the specified desired output. |
Method parameters in clarion.system with type arguments of type AbstractOutputChunk | |
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void |
InterfaceTrainable.setDesiredOutput(java.util.Collection<? extends AbstractOutputChunk> DesiredOut)
Sets the desired output given the collection specified. |
void |
AbstractTrainableImplicitModule.setDesiredOutput(java.util.Collection<? extends AbstractOutputChunk> DesiredOut)
Sets the desired output given the collection of desired outputs. |
Constructor parameters in clarion.system with type arguments of type AbstractOutputChunk | |
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AbstractEquation(java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes an equation. |
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AbstractImplicitModule(java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes an implicit module. |
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AbstractNeuralNet(java.util.Collection<Dimension> InputSpace,
int NumHidden,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes a neural network. |
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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. |
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AbstractRuntimeTrainableImplicitModule(java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes an implicit module that is capable of being trained during runtime. |
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AbstractTrainableImplicitModule(java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes the trainable implicit module. |
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ACSLevelProbabilitySettingEquation(java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes the ACS level probability setting equation. |
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BPNet(java.util.Collection<Dimension> InputSpace,
int NumHidden,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes a backpropagating neural network. |
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DriveEquation(java.lang.Object id,
java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes a drive equation. |
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GoalSelectionEquation(java.util.Collection<Dimension> InputSpace,
AbstractOutputChunkCollection<? extends AbstractOutputChunk> Outputs)
Initializes the goal selection equation. |
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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. |
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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. |
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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. |
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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. |
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