Uses of Class
network.aika.neuron.activation.Activation

Packages that use Activation

Package	Description
network.aika
network.aika.lattice
network.aika.neuron
network.aika.neuron.activation
network.aika.neuron.relation

Uses of Activation in network.aika

Fields in network.aika with type parameters of type Activation

Modifier and Type	Field	Description
static Comparator<Activation>	Document.ACTIVATIONS_OUTPUT_COMPARATOR

Methods in network.aika that return Activation

Modifier and Type	Method	Description
Activation	Document.getNextActivation(Activation currentAct)

Methods in network.aika that return types with arguments of type Activation

Modifier and Type	Method	Description
Collection<Activation>	Document.getActivations(boolean onlyFinal)
Collection<Activation>	Document.getActivationsByPosition(int fromSlot, Position fromPos, boolean fromInclusive, int toSlot, Position toPos, boolean toInclusive)
Collection<Activation>	Document.getActivationsByPosition(Position fromPos, boolean fromInclusive, Position toPos, boolean toInclusive)

Methods in network.aika with parameters of type Activation

Modifier and Type	Method	Description
void	Document.addActivation(Activation act)
void	Document.addInputNeuronActivation(Activation act)
double	DistanceFunction.f(Activation iAct, Activation oAct)
double	PassiveInputFunction.getActivationValue(Synapse s, Activation outputActivation)
Activation	Document.getNextActivation(Activation currentAct)

Uses of Activation in network.aika.lattice

Fields in network.aika.lattice declared as Activation

Modifier and Type	Field	Description
Activation	InputNode.InputActivation.input

Methods in network.aika.lattice that return Activation

Modifier and Type	Method	Description
Activation	InputNode.InputActivation.getInputActivation(int i)
abstract Activation	NodeActivation.getInputActivation(int i)
Activation	OrNode.OrActivation.getInputActivation(int i)
Activation	OrNode.OrActivation.getOutputAct()

Methods in network.aika.lattice with parameters of type Activation

Modifier and Type	Method	Description
void	InputNode.addActivation(Activation inputAct)
void	OrNode.OrActivation.setOutputAct(Activation outputAct)

Constructors in network.aika.lattice with parameters of type Activation

Constructor	Description
InputActivation(Activation iAct, InputNode node)

Uses of Activation in network.aika.neuron

Methods in network.aika.neuron that return Activation

Modifier and Type	Method	Description
Activation	INeuron.addInput(Document doc, Activation.Builder input)	Propagate an input activation into the network.
Activation	Neuron.addInput(Document doc, int begin, int end)	Propagate an input activation into the network.
Activation	Neuron.addInput(Document doc, Activation.Builder inputAct)	Propagate an input activation into the network.
Activation	Neuron.getActivation(Document doc, int begin, int end, boolean onlyFinal)
Activation	INeuron.lookupActivation(Document doc, SortedMap<Integer,Position> slots, Predicate<Activation.Link> filter)

Methods in network.aika.neuron that return types with arguments of type Activation

Modifier and Type	Method	Description
Stream<Activation>	INeuron.getActivations(Document doc)
Stream<Activation>	INeuron.getActivations(Document doc, boolean onlyFinal)
Stream<Activation>	INeuron.getActivations(Document doc, int slot, Position pos, boolean onlyFinal)
Stream<Activation>	INeuron.getActivations(Document doc, int fromSlot, Position fromPos, boolean fromInclusive, int toSlot, Position toPos, boolean toInclusive)
Collection<Activation>	INeuron.getActivations(Document doc, SortedMap<Integer,Position> slots)
Stream<Activation>	Neuron.getActivations(Document doc, boolean onlyFinal)	getFinalActivations is a convenience method to retrieve all activations of the given neuron that are part of the final interpretation.
Stream<Activation>	Neuron.getActivations(Document doc, int slot, Position pos, boolean onlyFinal)

Methods in network.aika.neuron with parameters of type Activation

Modifier and Type	Method	Description
boolean	INeuron.addActivation(Activation act)
void	INeuron.propagate(Activation act)
void	INeuron.register(Activation act)

Uses of Activation in network.aika.neuron.activation

Fields in network.aika.neuron.activation declared as Activation

Modifier and Type	Field	Description
static Activation	Activation.MAX_ACTIVATION
static Activation	Activation.MIN_ACTIVATION

Fields in network.aika.neuron.activation with type parameters of type Activation

Modifier and Type	Field	Description
static Comparator<Activation>	Activation.ACTIVATION_ID_COMP

Methods in network.aika.neuron.activation that return Activation

Modifier and Type	Method	Description
Activation	Linker.computeInputActivation(Synapse s, Activation iAct)
Activation	Activation.Option.getAct()
Activation	Activation.StateChange.getActivation()
Activation	Candidate.getActivation()
Activation	SearchNode.getActivation()
Activation	Activation.Link.getInput()
Activation	Activation.Link.getOutput()

Methods in network.aika.neuron.activation that return types with arguments of type Activation

Modifier and Type	Method	Description
Collection<Activation>	Position.getActivations()
Stream<Activation>	Position.getActivations(int slot)
Collection<Activation>	Activation.getConflicts()
Map<Activation,Activation.StateChange>	SearchNode.getModifiedActivations()

Methods in network.aika.neuron.activation with parameters of type Activation

Modifier and Type	Method	Description
void	UpperBoundQueue.add(Activation act)
void	ValueQueue.add(int round, Activation act)
void	Position.addActivation(Integer slot, Activation act)
int	Activation.compareTo(Activation act)
Activation	Linker.computeInputActivation(Synapse s, Activation iAct)
boolean	SearchNode.SkipSelectStep.evaluate(Activation act)
static void	SearchNode.invalidateCachedDecision(Activation act)
void	Linker.link(Synapse s, Activation iAct, Activation oAct)
void	Linker.linkInput(Activation act)
void	ValueQueue.propagateActivationValue(int round, Activation act)

Method parameters in network.aika.neuron.activation with type arguments of type Activation

Modifier and Type	Method	Description
void	Activation.saveOldState(Map<Activation,Activation.StateChange> changes, long v)

Constructors in network.aika.neuron.activation with parameters of type Activation

Constructor	Description
Candidate(Activation act, int id)
Link(Synapse s, Activation input, Activation output)

Uses of Activation in network.aika.neuron.relation

Methods in network.aika.neuron.relation that return types with arguments of type Activation

Modifier and Type	Method	Description
Stream<Activation>	AncestorRelation.CommonAncestor.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.IsAncestorOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.IsDescendantOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.NotAncestorOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.NotDescendantOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	MultiRelation.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	PositionRelation.Equals.getActivations(INeuron n, Position pos)
Stream<Activation>	PositionRelation.getActivations(INeuron n, Activation linkedAct)
abstract Stream<Activation>	PositionRelation.getActivations(INeuron n, Position pos)
Stream<Activation>	PositionRelation.GreaterThan.getActivations(INeuron n, Position pos)
Stream<Activation>	PositionRelation.LessThan.getActivations(INeuron n, Position pos)
Stream<Activation>	Relation.Any.getActivations(INeuron n, Activation linkedAct)
abstract Stream<Activation>	Relation.getActivations(INeuron n, Activation linkedAct)

Methods in network.aika.neuron.relation with parameters of type Activation

Modifier and Type	Method	Description
Stream<Activation>	AncestorRelation.CommonAncestor.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.IsAncestorOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.IsDescendantOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.NotAncestorOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	AncestorRelation.NotDescendantOf.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	MultiRelation.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	PositionRelation.getActivations(INeuron n, Activation linkedAct)
Stream<Activation>	Relation.Any.getActivations(INeuron n, Activation linkedAct)
abstract Stream<Activation>	Relation.getActivations(INeuron n, Activation linkedAct)
void	AncestorRelation.mapSlots(Map<Integer,Position> slots, Activation act)
void	MultiRelation.mapSlots(Map<Integer,Position> slots, Activation act)
void	PositionRelation.Equals.mapSlots(Map<Integer,Position> slots, Activation act)
void	PositionRelation.mapSlots(Map<Integer,Position> slots, Activation act)
void	Relation.Any.mapSlots(Map<Integer,Position> slots, Activation act)
abstract void	Relation.mapSlots(Map<Integer,Position> slots, Activation act)
boolean	AncestorRelation.CommonAncestor.test(Activation act, Activation linkedAct)
boolean	AncestorRelation.IsAncestorOf.test(Activation act, Activation linkedAct)
boolean	AncestorRelation.IsDescendantOf.test(Activation act, Activation linkedAct)
boolean	AncestorRelation.NotAncestorOf.test(Activation act, Activation linkedAct)
boolean	AncestorRelation.NotDescendantOf.test(Activation act, Activation linkedAct)
boolean	MultiRelation.test(Activation act, Activation linkedAct)
boolean	PositionRelation.test(Activation act, Activation linkedAct)
boolean	Relation.Any.test(Activation act, Activation linkedAct)
abstract boolean	Relation.test(Activation act, Activation linkedAct)