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 and Description
static Comparator<Activation>	Document.ACTIVATIONS_OUTPUT_COMPARATOR
TreeMap<Integer,Activation>	Document.activationsById
TreeSet<Activation>	Document.inputNeuronActivations
ArrayDeque<Activation>	Document.UpperBoundQueue.queue
ArrayList<TreeSet<Activation>>	Document.ValueQueue.queue

Methods in network.aika that return Activation

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

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

Modifier and Type	Method and 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 and Description
void	Document.UpperBoundQueue.add(Activation act)
void	Document.ValueQueue.add(int round, Activation act)
void	Document.addActivation(Activation act)
double	DistanceFunction.f(Activation iAct, Activation oAct)
double	PassiveInputFunction.getActivationValue(Synapse s, Activation outputActivation)
Activation	Document.getNextActivation(Activation currentAct)
void	Document.ValueQueue.propagateActivationValue(int round, Activation act)

Uses of Activation in network.aika.lattice

Fields in network.aika.lattice declared as Activation

Modifier and Type	Field and Description
Activation	InputNode.Link.input

Methods in network.aika.lattice that return Activation

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

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

Modifier and Type	Method and Description
void	InputNode.addActivation(Activation inputAct)
void	OrNode.apply(Activation act)
void	OrNode.discover(Activation act, PatternDiscovery.Config config)
static List<Relation>	InputNode.getRelations(Activation act1, Activation act2)
void	OrNode.processActivation(Activation act)
void	OrNode.propagate(Activation act)

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

Constructor and Description
InputActivation(int id, Activation iAct, InputNode node)
Link(Activation iAct, InputNode.InputActivation oAct)

Uses of Activation in network.aika.neuron

Methods in network.aika.neuron that return Activation

Modifier and Type	Method and Description
Activation	Neuron.addInput(Document doc, Activation.Builder inputAct) Propagate an input activation into the network.
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.getActivation(Document doc, int begin, int end, boolean onlyFinal)

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

Modifier and Type	Method and Description
Stream<Activation>	INeuron.ThreadState.getActivations()
Stream<Activation>	INeuron.ThreadState.getActivations(boolean onlyFinal)
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>	INeuron.getActivations(Document doc, boolean onlyFinal)
Stream<Activation>	Neuron.getActivations(Document doc, int slot, Position pos, boolean onlyFinal)
Stream<Activation>	INeuron.getActivations(Document doc, int slot, Position pos, boolean onlyFinal)
Stream<Activation>	INeuron.ThreadState.getActivations(int fromSlot, Position fromPos, boolean fromInclusive, int toSlot, Position toPos, boolean toInclusive)
Collection<Activation>	INeuron.ThreadState.getActivations(SortedMap<Integer,Position> slots)

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

Modifier and Type	Method and Description
void	INeuron.ThreadState.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 and Description
Activation	Candidate.activation
Activation	Activation.Link.input
static Activation	Activation.MAX_ACTIVATION
static Activation	Activation.MIN_ACTIVATION
Activation	Activation.Link.output

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

Modifier and Type	Field and Description
static Comparator<Activation>	Activation.ACTIVATION_ID_COMP
SortedMap<Position.ActKey,Activation>	Position.activations
Map<Activation,Activation.StateChange>	SearchNode.modifiedActs

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

Modifier and Type	Method and Description
Activation	Linker.computeInputActivation(Synapse s, Activation iAct)
Activation	Activation.StateChange.getActivation()

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

Modifier and Type	Method and Description
Stream<Activation>	Position.getActivations(int slot)
Collection<Activation>	Activation.getConflicts()

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

Modifier and Type	Method and Description
void	Position.addActivation(Integer slot, Activation act)
protected boolean	Linker.checkLoop(Activation iAct, Activation oAct)
Activation	Linker.computeInputActivation(Synapse s, Activation iAct)
boolean	SearchNode.SkipSelectStep.evaluate(Activation act)
static void	SearchNode.invalidateCachedDecision(Activation act)
void	Linker.link(Activation act, OrNode.Link ol) Adds the incoming links between neuron activations.
protected void	Linker.link(Synapse s, Activation iAct, Activation oAct)
void	Linker.linkInput(Activation act)

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

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

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

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

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

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

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