Index

A B C D E F G H I J L M N O P Q R S T U V W Z
All Classes and Interfaces|All Packages|Serialized Form

A

AbstractBiFunction - Class in network.aika.fields

AbstractBiFunction(String, DoubleFieldOutput, boolean, DoubleFieldOutput, boolean) - Constructor for class network.aika.fields.AbstractBiFunction

acquireReadLock() - Method in class network.aika.utils.ReadWriteLock

acquireWriteLock() - Method in class network.aika.utils.ReadWriteLock

Activation<N extends Neuron> - Class in network.aika.neuron.activation

Activation(int, N) - Constructor for class network.aika.neuron.activation.Activation

Activation(int, Thought, N) - Constructor for class network.aika.neuron.activation.Activation

ActivationFunction - Enum Class in network.aika.neuron

activeProviders - Variable in class network.aika.Model

add(double) - Method in class network.aika.fields.DoubleField

add(double) - Method in interface network.aika.fields.DoubleFieldInput

add(double) - Method in class network.aika.fields.SwitchField

add(double[], double[]) - Static method in class network.aika.utils.Utils

add(Activation) - Static method in class network.aika.steps.activation.Counting

add(Activation) - Static method in class network.aika.steps.activation.InactiveLinks

add(Activation<?>, Stream<BindingSignal>) - Static method in class network.aika.steps.link.PropagateBindingSignal

add(Activation, boolean, String, Predicate<Synapse>) - Static method in class network.aika.steps.activation.Propagate

add(Activation, BindingSignal, LinkingOrder) - Static method in class network.aika.steps.activation.Linking

add(Link) - Static method in class network.aika.steps.link.Cleanup

add(Link) - Static method in class network.aika.steps.link.LinkCounting

add(Link) - Static method in class network.aika.steps.link.PropagateBindingSignal

add(Neuron) - Static method in class network.aika.steps.activation.PostTraining

add(Neuron) - Static method in class network.aika.steps.activation.Save

add(Step) - Static method in class network.aika.steps.Step

addAndTriggerUpdate(double) - Method in interface network.aika.fields.DoubleFieldInput

addBindingSignal(BindingSignal) - Method in class network.aika.neuron.activation.Activation

addEventListener(EventListener) - Method in class network.aika.Thought

addFieldListener(String, FieldUpdateEvent) - Method in class network.aika.fields.FieldListener

addFieldListener(String, FieldUpdateEvent) - Method in interface network.aika.fields.FieldOutput

addInactiveLinks(Activation) - Method in class network.aika.neuron.conjunctive.ConjunctiveNeuron

addInactiveLinks(Activation) - Method in class network.aika.neuron.disjunctive.DisjunctiveNeuron

addInactiveLinks(Activation) - Method in class network.aika.neuron.disjunctive.InhibitoryNeuron

addInactiveLinks(Activation) - Method in class network.aika.neuron.Neuron

addInputSynapse(S) - Method in class network.aika.neuron.Neuron

addInternal(Activation, BindingSignal, Direction, LinkingOrder, Timestamp, String, Predicate<Synapse>) - Static method in class network.aika.steps.activation.Linking

addOutputSynapse(Synapse) - Method in class network.aika.neuron.Neuron

addPosFeedback(Activation, BindingSignal) - Static method in class network.aika.steps.activation.Linking

addRelation(TokenActivation, TokenActivation) - Static method in class network.aika.text.TokenActivation

addStep(Step) - Method in class network.aika.Thought

addToken(String, int, int) - Method in class network.aika.text.Document

addToken(PatternNeuron, int, int) - Method in class network.aika.text.Document

addToken(NeuronProvider, int, int) - Method in class network.aika.text.Document

addToN(int) - Method in class network.aika.Model

addToQueue(Step) - Method in class network.aika.neuron.activation.Element

addUnboundLinking(Activation, BindingSignal) - Static method in class network.aika.steps.activation.Linking

afterProcessedEvent(Step) - Method in interface network.aika.callbacks.EventListener

afterProcessedEvent(Step) - Method in class network.aika.Thought

allowLooseLinking() - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

allowLooseLinking() - Method in class network.aika.neuron.Synapse

allowPropagate - Variable in class network.aika.neuron.conjunctive.ConjunctiveSynapse

allowPropagate(Activation) - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

allowPropagate(Activation) - Method in class network.aika.neuron.conjunctive.PatternSynapse

allowPropagate(Activation) - Method in class network.aika.neuron.disjunctive.DisjunctiveSynapse

allowPropagate(Activation) - Method in class network.aika.neuron.Synapse

allowTraining - Variable in class network.aika.neuron.Neuron

allowTraining - Variable in class network.aika.neuron.Synapse

ANDOperator - Class in network.aika.fields

ANDOperator() - Constructor for class network.aika.fields.ANDOperator

append(String) - Method in class network.aika.text.Document

applyMovingAverage(double) - Method in class network.aika.neuron.Neuron

applyMovingAverage(double) - Method in class network.aika.neuron.SampleSpace

applyMovingAverage(double) - Method in class network.aika.neuron.Synapse

applyMovingAverage(Config) - Method in class network.aika.Model

Axon - Interface in network.aika.neuron.axons

B

backPropagate() - Method in class network.aika.neuron.activation.Link

beforeProcessedEvent(Step) - Method in interface network.aika.callbacks.EventListener

beforeProcessedEvent(Step) - Method in class network.aika.Thought

belowTolerance(double) - Static method in class network.aika.utils.Utils

belowTolerance(double[]) - Static method in class network.aika.utils.Utils

BETA_THRESHOLD - Static variable in enum class network.aika.utils.Bound

bias - Variable in class network.aika.neuron.Neuron

biasUpdate(double) - Method in class network.aika.neuron.Neuron

biasUpdateOnFinalActivations(PositiveFeedbackSynapse, double) - Method in class network.aika.neuron.conjunctive.PatternNeuron

BiFunction - Class in network.aika.fields

BiFunction(String, DoubleFieldOutput, boolean, DoubleFieldOutput, boolean, DoubleBinaryOperator) - Constructor for class network.aika.fields.BiFunction

BINDING_TEMPLATE - Variable in class network.aika.neuron.Templates

BindingActivation - Class in network.aika.neuron.activation

BindingActivation(int, BindingNeuron) - Constructor for class network.aika.neuron.activation.BindingActivation

BindingActivation(int, Thought, BindingNeuron) - Constructor for class network.aika.neuron.activation.BindingActivation

BindingAxon - Interface in network.aika.neuron.axons

BindingNeuron - Class in network.aika.neuron.conjunctive

BindingNeuron() - Constructor for class network.aika.neuron.conjunctive.BindingNeuron

BindingNeuron(Model, boolean) - Constructor for class network.aika.neuron.conjunctive.BindingNeuron

BindingNeuronLink<S extends BindingNeuronSynapse,IA extends Activation> - Class in network.aika.neuron.activation

BindingNeuronLink(S, IA, BindingActivation) - Constructor for class network.aika.neuron.activation.BindingNeuronLink

BindingNeuronSynapse<S extends BindingNeuronSynapse,I extends Neuron & Axon,L extends Link<S,IA,BindingActivation>,IA extends Activation> - Class in network.aika.neuron.conjunctive

BindingNeuronSynapse() - Constructor for class network.aika.neuron.conjunctive.BindingNeuronSynapse

BindingSignal<O extends Activation> - Class in network.aika.neuron.bindingsignal

BindingSignal(BindingSignal<O>, State) - Constructor for class network.aika.neuron.bindingsignal.BindingSignal

BindingSignal(O, State) - Constructor for class network.aika.neuron.bindingsignal.BindingSignal

bindingSignals - Variable in class network.aika.neuron.activation.Activation

BooleanFieldInput - Interface in network.aika.fields

BooleanFieldOutput - Interface in network.aika.fields

Bound - Enum Class in network.aika.utils

BRANCH - Enum constant in enum class network.aika.neuron.bindingsignal.State

C

CATEGORY_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

CATEGORY_TEMPLATE - Variable in class network.aika.neuron.Templates

CategoryActivation - Class in network.aika.neuron.activation

CategoryActivation(int, Thought, CategoryNeuron) - Constructor for class network.aika.neuron.activation.CategoryActivation

CategoryLink - Class in network.aika.neuron.activation

CategoryLink(CategorySynapse, PatternActivation, CategoryActivation) - Constructor for class network.aika.neuron.activation.CategoryLink

CategoryNeuron - Class in network.aika.neuron.disjunctive

CategoryNeuron() - Constructor for class network.aika.neuron.disjunctive.CategoryNeuron

CategoryNeuron(NeuronProvider) - Constructor for class network.aika.neuron.disjunctive.CategoryNeuron

CategorySynapse<N extends Neuron & PatternAxon> - Class in network.aika.neuron.disjunctive

CategorySynapse() - Constructor for class network.aika.neuron.disjunctive.CategorySynapse

charAt(int) - Method in class network.aika.text.Document

check(Double, double, double) - Method in interface network.aika.fields.PropagatePreCondition

check(State, Direction) - Method in class network.aika.neuron.bindingsignal.Transition

checkAllowPropagate() - Method in class network.aika.neuron.activation.Activation

checkAllowPropagate() - Method in class network.aika.neuron.activation.BindingActivation

checkAllowPropagate() - Method in class network.aika.neuron.activation.DisjunctiveActivation

checkCommonLinkingPreConditions(IA, BindingActivation) - Method in class network.aika.neuron.conjunctive.BindingNeuronSynapse

checkCommonLinkingPreConditions(IA, OA) - Method in class network.aika.neuron.Synapse

checkConstraints() - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

checkConstraints() - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

checkIfPrimaryInputBNLinkAlreadyExists() - Method in class network.aika.neuron.activation.BindingActivation

checkIfQueued() - Method in class network.aika.steps.activation.Linking

checkIfQueued() - Method in class network.aika.steps.FieldStep

checkIfQueued() - Method in interface network.aika.steps.QueueKey

checkIfQueued() - Method in class network.aika.steps.Step

checkLinkingPreConditions(IA, BindingActivation) - Method in class network.aika.neuron.conjunctive.BindingNeuronSynapse

checkLinkingPreConditions(IA, BindingActivation) - Method in class network.aika.neuron.conjunctive.PrimaryInputSynapse

checkLinkingPreConditions(IA, OA) - Method in class network.aika.neuron.Synapse

checkLinkingPreConditions(BindingActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

checkLinkingPreConditions(InhibitoryActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

checkLinkingPreConditions(PatternActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

checkPropagate() - Method in class network.aika.neuron.bindingsignal.BindingSignal

checkPropagateBindingSignal(BindingSignal) - Method in class network.aika.neuron.activation.Activation

checkPropagateBindingSignal(BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

checkPropagateBindingSignal(BindingSignal) - Method in class network.aika.neuron.activation.PatternActivation

checkRelatedBindingSignal(BindingSignal, BindingSignal) - Method in class network.aika.neuron.conjunctive.RelatedInputSynapse

checkRelatedBindingSignal(BindingSignal, BindingSignal) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

checkRelatedBindingSignal(BindingSignal, BindingSignal) - Method in class network.aika.neuron.Synapse

checkTemplateInductionThreshold(Activation) - Method in class network.aika.neuron.Neuron

checkTemplateInductionThreshold(OA) - Method in class network.aika.neuron.Synapse

checkTemplateLinkingPreConditions(IA, OA) - Method in class network.aika.neuron.Synapse

checkTemplateLinkingPreConditions(BindingActivation, InhibitoryActivation) - Method in class network.aika.neuron.disjunctive.InhibitorySynapse

checkTemplateLinkingPreConditions(BindingActivation, PatternActivation) - Method in class network.aika.neuron.conjunctive.PatternSynapse

checkTemplateLinkingPreConditions(InhibitoryActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

checkTemplateLinkingPreConditions(PatternActivation, CategoryActivation) - Method in class network.aika.neuron.disjunctive.CategorySynapse

Cleanup - Class in network.aika.steps.link

clone(O) - Method in class network.aika.neuron.bindingsignal.BindingSignal

close() - Method in class network.aika.callbacks.FSSuspensionCallback

close() - Method in class network.aika.callbacks.InMemorySuspensionCallback

close() - Method in interface network.aika.callbacks.SuspensionCallback

close() - Method in class network.aika.Model

commonInitGradientFields() - Method in class network.aika.neuron.activation.Activation

COMPARATOR - Static variable in class network.aika.neuron.activation.OutputKey

COMPARATOR - Static variable in interface network.aika.steps.QueueKey

compare(Direction, Direction) - Static method in interface network.aika.direction.Direction

COMPARE - Static variable in class network.aika.neuron.activation.Link

compareTo(Object) - Method in class network.aika.neuron.activation.DummyActivation

compareTo(Activation) - Method in class network.aika.neuron.activation.Activation

compareTo(Link) - Method in class network.aika.neuron.activation.Link

compareTo(Timestamp) - Method in class network.aika.neuron.activation.Timestamp

compareTo(NeuronProvider) - Method in class network.aika.neuron.NeuronProvider

Config - Class in network.aika

Config() - Constructor for class network.aika.Config

ConjunctiveActivation<N extends Neuron> - Class in network.aika.neuron.activation

ConjunctiveActivation(int, N) - Constructor for class network.aika.neuron.activation.ConjunctiveActivation

ConjunctiveActivation(int, Thought, N) - Constructor for class network.aika.neuron.activation.ConjunctiveActivation

ConjunctiveNeuron<S extends ConjunctiveSynapse,A extends ConjunctiveActivation> - Class in network.aika.neuron.conjunctive

ConjunctiveNeuron() - Constructor for class network.aika.neuron.conjunctive.ConjunctiveNeuron

ConjunctiveNeuron(Model, boolean) - Constructor for class network.aika.neuron.conjunctive.ConjunctiveNeuron

ConjunctiveNeuron(NeuronProvider) - Constructor for class network.aika.neuron.conjunctive.ConjunctiveNeuron

ConjunctiveSynapse<S extends ConjunctiveSynapse,I extends Neuron & Axon,O extends ConjunctiveNeuron<?,OA>,L extends Link<S,IA,OA>,IA extends Activation,OA extends ConjunctiveActivation> - Class in network.aika.neuron.conjunctive

ConjunctiveSynapse() - Constructor for class network.aika.neuron.conjunctive.ConjunctiveSynapse

ConstantDoubleField - Class in network.aika.fields

ConstantDoubleField(String, double) - Constructor for class network.aika.fields.ConstantDoubleField

containsInputSynapse(Synapse) - Method in class network.aika.neuron.Neuron

containsOutputSynapse(Synapse) - Method in class network.aika.neuron.Neuron

copy(Element) - Method in class network.aika.steps.Step

copySteps(Element) - Method in class network.aika.neuron.activation.Element

count() - Method in class network.aika.neuron.SampleSpace

count(Activation) - Method in class network.aika.neuron.Neuron

count(Link) - Method in class network.aika.neuron.Synapse

Counting - Class in network.aika.steps.activation

Counts the number of activations a particular neuron has encountered.

countSkippedInstances(Range) - Method in class network.aika.neuron.SampleSpace

createActivation(Thought) - Method in class network.aika.neuron.conjunctive.BindingNeuron

createActivation(Thought) - Method in class network.aika.neuron.conjunctive.PatternNeuron

createActivation(Thought) - Method in class network.aika.neuron.disjunctive.CategoryNeuron

createActivation(Thought) - Method in class network.aika.neuron.disjunctive.InhibitoryNeuron

createActivation(Thought) - Method in class network.aika.neuron.Neuron

createActivationId() - Method in class network.aika.Thought

createBranch() - Method in class network.aika.neuron.activation.BindingActivation

createId() - Method in class network.aika.callbacks.FSSuspensionCallback

createId() - Method in class network.aika.callbacks.InMemorySuspensionCallback

createId() - Method in interface network.aika.callbacks.SuspensionCallback

createLink(IA, BindingActivation) - Method in class network.aika.neuron.conjunctive.PrimaryInputSynapse

createLink(IA, OA) - Method in class network.aika.neuron.Synapse

createLink(BindingActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.RelatedInputSynapse

createLink(BindingActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

createLink(BindingActivation, InhibitoryActivation) - Method in class network.aika.neuron.disjunctive.InhibitorySynapse

createLink(BindingActivation, PatternActivation) - Method in class network.aika.neuron.conjunctive.PatternSynapse

createLink(InhibitoryActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

createLink(PatternActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

createLink(PatternActivation, CategoryActivation) - Method in class network.aika.neuron.disjunctive.CategorySynapse

createNeuron(String) - Method in interface network.aika.Model.NeuronProducer

createNeuron(Neuron, String) - Static method in class network.aika.utils.TestUtils

createNeuron(Neuron, String, boolean) - Static method in class network.aika.utils.TestUtils

createNeuronId() - Method in class network.aika.Model

createPositiveFeedbackSynapse(PositiveFeedbackSynapse, PatternNeuron, BindingNeuron, double, double) - Static method in class network.aika.utils.TestUtils

createSynapse(Synapse, Neuron, Neuron, double) - Static method in class network.aika.utils.TestUtils

createThoughtId() - Method in class network.aika.Model

creationTimestamp - Variable in class network.aika.neuron.activation.Activation

currentArgument - Variable in class network.aika.fields.AbstractBiFunction

D

Direction - Interface in network.aika.direction

DISCARD - Enum constant in enum class network.aika.neuron.SuspensionMode

DisjunctiveActivation<N extends DisjunctiveNeuron> - Class in network.aika.neuron.activation

DisjunctiveActivation(int, Thought, N) - Constructor for class network.aika.neuron.activation.DisjunctiveActivation

DisjunctiveNeuron<S extends DisjunctiveSynapse,A extends Activation> - Class in network.aika.neuron.disjunctive

DisjunctiveNeuron() - Constructor for class network.aika.neuron.disjunctive.DisjunctiveNeuron

DisjunctiveNeuron(Model, boolean) - Constructor for class network.aika.neuron.disjunctive.DisjunctiveNeuron

DisjunctiveNeuron(NeuronProvider) - Constructor for class network.aika.neuron.disjunctive.DisjunctiveNeuron

DisjunctiveSynapse<S extends DisjunctiveSynapse,I extends Neuron & Axon,O extends DisjunctiveNeuron<?,OA>,L extends Link<S,IA,OA>,IA extends Activation,OA extends DisjunctiveActivation> - Class in network.aika.neuron.disjunctive

DisjunctiveSynapse() - Constructor for class network.aika.neuron.disjunctive.DisjunctiveSynapse

div(String, DoubleFieldOutput, DoubleFieldOutput) - Static method in class network.aika.fields.FieldUtils

div(String, DoubleFieldOutput, DoubleFieldOutput, DoubleFieldInput...) - Static method in class network.aika.fields.FieldUtils

Document - Class in network.aika.text

The Document class represents a single document which may be either used for processing a text or as training input.

Document(TextModel, String) - Constructor for class network.aika.text.Document

DoubleField - Class in network.aika.fields

DoubleField(String) - Constructor for class network.aika.fields.DoubleField

DoubleField(String, FieldUpdateEvent) - Constructor for class network.aika.fields.DoubleField

DoubleFieldInput - Interface in network.aika.fields

DoubleFieldInterface - Interface in network.aika.fields

DoubleFieldOutput - Interface in network.aika.fields

DummyActivation - Class in network.aika.neuron.activation

The dummy activation is just used to add neurons to the event queue.

DummyActivation(int, Neuron) - Constructor for class network.aika.neuron.activation.DummyActivation

DummyActivation(Neuron) - Constructor for class network.aika.neuron.activation.DummyActivation

E

Element<E extends Element> - Class in network.aika.neuron.activation

An Element is either a node (Activation) or an edge (Link) in the Activation graph.

Element() - Constructor for class network.aika.neuron.activation.Element

ELEMENT_COMPARATOR - Static variable in interface network.aika.steps.QueueKey

ENABLE_COMPRESSION - Static variable in class network.aika.neuron.NeuronProvider

equals(Object) - Method in class network.aika.neuron.activation.Activation

equals(Object) - Method in class network.aika.neuron.NeuronProvider

EventListener - Interface in network.aika.callbacks

exists() - Method in class network.aika.neuron.bindingsignal.BindingSignal

F

f(double) - Method in enum class network.aika.neuron.ActivationFunction

FieldDivision - Class in network.aika.fields

FieldDivision(String, DoubleFieldOutput, boolean, DoubleFieldOutput, boolean) - Constructor for class network.aika.fields.FieldDivision

FieldFunction - Class in network.aika.fields

FieldFunction(String, DoubleFieldOutput, DoubleFunction<Double>) - Constructor for class network.aika.fields.FieldFunction

FieldFunction(String, DoubleFieldOutput, DoubleFunction<Double>, DoubleFieldInput...) - Constructor for class network.aika.fields.FieldFunction

FieldInput - Interface in network.aika.fields

FieldListener - Class in network.aika.fields

FieldListener() - Constructor for class network.aika.fields.FieldListener

FieldMultiplication - Class in network.aika.fields

FieldMultiplication(String, DoubleFieldOutput, boolean, DoubleFieldOutput, boolean) - Constructor for class network.aika.fields.FieldMultiplication

FieldOutput - Interface in network.aika.fields

FieldStep<E extends Element> - Class in network.aika.steps

FieldStep(E, QueueDoubleField) - Constructor for class network.aika.steps.FieldStep

FieldUpdateEvent - Interface in network.aika.fields

FieldUtils - Class in network.aika.fields

FieldUtils() - Constructor for class network.aika.fields.FieldUtils

fired - Variable in class network.aika.neuron.activation.Activation

fired - Variable in class network.aika.steps.Step

forAllLinks(Thought, Consumer<Link>) - Method in class network.aika.neuron.Synapse

frequency - Variable in class network.aika.neuron.Neuron

frequencyINegOPos - Variable in class network.aika.neuron.Synapse

frequencyIPosONeg - Variable in class network.aika.neuron.Synapse

frequencyIPosOPos - Variable in class network.aika.neuron.Synapse

FSSuspensionCallback - Class in network.aika.callbacks

FSSuspensionCallback(Path, String, boolean) - Constructor for class network.aika.callbacks.FSSuspensionCallback

func(String, DoubleFieldOutput, DoubleFunction<Double>) - Static method in class network.aika.fields.FieldUtils

func(String, DoubleFieldOutput, DoubleFunction<Double>, DoubleFieldInput...) - Static method in class network.aika.fields.FieldUtils

func(String, DoubleFieldOutput, DoubleFieldOutput, DoubleBinaryOperator) - Static method in class network.aika.fields.FieldUtils

func(String, DoubleFieldOutput, DoubleFieldOutput, DoubleBinaryOperator, DoubleFieldInput...) - Static method in class network.aika.fields.FieldUtils

G

getAbsoluteRange() - Method in class network.aika.neuron.activation.Activation

getAbsoluteRange(Range) - Method in class network.aika.neuron.Range

getActivation() - Method in class network.aika.neuron.bindingsignal.BindingSignal

getActivation(Integer) - Method in class network.aika.Thought

getActivation(Link) - Method in interface network.aika.direction.Direction

getActivation(Link) - Method in class network.aika.direction.Input

getActivation(Link) - Method in class network.aika.direction.Output

getActivationFunction() - Method in class network.aika.neuron.activation.Activation

getActivationFunction() - Method in class network.aika.neuron.conjunctive.ConjunctiveNeuron

getActivationFunction() - Method in class network.aika.neuron.disjunctive.DisjunctiveNeuron

getActivationFunction() - Method in class network.aika.neuron.disjunctive.InhibitoryNeuron

getActivationFunction() - Method in class network.aika.neuron.Neuron

getActivations() - Method in class network.aika.Thought

getActivations(Thought) - Method in class network.aika.neuron.Neuron

getActiveNeurons() - Method in class network.aika.Model

getAllBranches() - Method in class network.aika.neuron.activation.BindingActivation

getAllIds() - Method in class network.aika.callbacks.FSSuspensionCallback

getAllIds() - Method in class network.aika.callbacks.InMemorySuspensionCallback

getAllIds() - Method in interface network.aika.callbacks.SuspensionCallback

getAllNeurons() - Method in class network.aika.Model

getAllTemplates() - Method in class network.aika.neuron.Templates

getAlpha() - Method in class network.aika.Config

getBackPropGradient() - Method in class network.aika.neuron.activation.Link

getBegin() - Method in class network.aika.neuron.Range

getBias() - Method in class network.aika.neuron.Neuron

getBindingSignal(Activation) - Method in class network.aika.neuron.activation.Activation

getBindingSignals() - Method in class network.aika.neuron.activation.Activation

getBoundPatternBindingSignal() - Method in class network.aika.neuron.activation.BindingActivation

getBpNorm() - Method in class network.aika.neuron.activation.BindingActivation

getBranches() - Method in class network.aika.neuron.activation.BindingActivation

getBranchProbability() - Method in class network.aika.neuron.activation.BindingActivation

getCandidateGradient(Activation) - Method in class network.aika.neuron.Neuron

getCheckIfQueuedTimestamp() - Method in interface network.aika.steps.QueueKey

getCheckTransitions() - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

getCheckTransitions() - Method in class network.aika.neuron.conjunctive.PatternSynapse

getCheckTransitions() - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

getCheckTransitions() - Method in class network.aika.neuron.conjunctive.PrimaryInputSynapse

getCheckTransitions() - Method in class network.aika.neuron.conjunctive.RelatedInputSynapse

getCheckTransitions() - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

getCheckTransitions() - Method in class network.aika.neuron.disjunctive.DisjunctiveSynapse

getCheckTransitions() - Method in class network.aika.neuron.Synapse

getConfig() - Method in class network.aika.neuron.activation.Activation

getConfig() - Method in class network.aika.neuron.activation.Element

getConfig() - Method in class network.aika.neuron.activation.Link

getConfig() - Method in class network.aika.Thought

getConfig() - Static method in class network.aika.utils.TestUtils

getContent() - Method in class network.aika.text.Document

getCreationTimestamp() - Method in class network.aika.neuron.activation.Activation

getCurrentRetrievalCount() - Method in class network.aika.Model

getCurrentThought() - Method in class network.aika.Model

getCurrentTimestamp() - Method in class network.aika.Thought

getCurrentValue() - Method in class network.aika.fields.BiFunction

getCurrentValue() - Method in interface network.aika.fields.BooleanFieldOutput

getCurrentValue() - Method in class network.aika.fields.ConstantDoubleField

getCurrentValue() - Method in class network.aika.fields.DoubleField

getCurrentValue() - Method in interface network.aika.fields.DoubleFieldOutput

getCurrentValue() - Method in class network.aika.fields.FieldDivision

getCurrentValue() - Method in class network.aika.fields.FieldFunction

getCurrentValue() - Method in class network.aika.fields.FieldMultiplication

getCurrentValue() - Method in class network.aika.fields.InvertedDoubleField

getCurrentValue() - Method in class network.aika.fields.SwitchField

getCurrentValue() - Method in class network.aika.fields.ThresholdOperator

getCurrentValue(DoubleFieldOutput) - Static method in interface network.aika.fields.DoubleFieldOutput

getCustomData() - Method in class network.aika.neuron.Neuron

getCustomDataInstanceSupplier() - Method in class network.aika.Model

getDepth() - Method in class network.aika.neuron.bindingsignal.BindingSignal

getElement() - Method in class network.aika.steps.Step

getEnd() - Method in class network.aika.neuron.Range

getEntropy() - Method in class network.aika.neuron.activation.Activation

getEventListeners() - Method in class network.aika.Thought

getFeedbackBias() - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

getFeedbackWeight() - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

getFinalTimestamp() - Method in class network.aika.neuron.activation.BindingActivation

getFired() - Method in class network.aika.neuron.activation.Activation

getFired() - Method in class network.aika.neuron.activation.DummyActivation

getFired() - Method in class network.aika.neuron.activation.Element

getFired() - Method in class network.aika.neuron.activation.Link

getFired() - Method in interface network.aika.steps.QueueKey

getFired() - Method in class network.aika.steps.Step

getFrequency() - Method in class network.aika.neuron.Neuron

getFrequency(Sign, double) - Method in class network.aika.neuron.Neuron

getFrequency(Sign, Sign, double) - Method in class network.aika.neuron.Synapse

getGradientInputFields() - Method in class network.aika.neuron.activation.Activation

getGradientInputFields() - Method in class network.aika.neuron.activation.BindingActivation

getId() - Method in class network.aika.neuron.activation.Activation

getId() - Method in class network.aika.neuron.Neuron

getId() - Method in class network.aika.neuron.NeuronProvider

getId() - Method in class network.aika.Thought

getIdByLabel(String) - Method in class network.aika.callbacks.FSSuspensionCallback

getIdByLabel(String) - Method in class network.aika.callbacks.InMemorySuspensionCallback

getIdByLabel(String) - Method in interface network.aika.callbacks.SuspensionCallback

getIdByLabel(String) - Method in class network.aika.Model

getIfNotSuspended() - Method in class network.aika.neuron.NeuronProvider

getInactiveInstancesSinceLastPos(Range) - Method in class network.aika.neuron.SampleSpace

getInductionThreshold() - Method in class network.aika.Config

getInformationGainGradient() - Method in class network.aika.neuron.activation.Link

getInput() - Method in class network.aika.neuron.activation.Link

getInput() - Method in class network.aika.neuron.bindingsignal.Transition

getInput() - Method in class network.aika.neuron.Synapse

getInput(I, I) - Method in interface network.aika.direction.Direction

getInput(I, I) - Method in class network.aika.direction.Input

getInput(I, I) - Method in class network.aika.direction.Output

getInputGradient() - Method in class network.aika.neuron.activation.Activation

getInputLink(Neuron) - Method in class network.aika.neuron.activation.Activation

getInputLink(Synapse) - Method in class network.aika.neuron.activation.Activation

getInputLinks() - Method in class network.aika.neuron.activation.Activation

getInputSynapse(NeuronProvider) - Method in class network.aika.neuron.Neuron

getInputSynapses() - Method in class network.aika.neuron.Neuron

getInputValue(Sign) - Method in class network.aika.neuron.activation.Link

getLabel() - Method in class network.aika.fields.AbstractBiFunction

getLabel() - Method in class network.aika.fields.ConstantDoubleField

getLabel() - Method in class network.aika.fields.DoubleField

getLabel() - Method in class network.aika.fields.FieldFunction

getLabel() - Method in interface network.aika.fields.FieldInput

getLabel() - Method in interface network.aika.fields.FieldOutput

getLabel() - Method in class network.aika.fields.InvertedDoubleField

getLabel() - Method in class network.aika.fields.ThresholdOperator

getLabel() - Method in class network.aika.neuron.activation.Activation

getLabel() - Method in class network.aika.neuron.Neuron

getLabel() - Method in class network.aika.neuron.NeuronProvider

getLabel() - Method in class network.aika.neuron.TemplateNeuronInfo

getLabel() - Method in class network.aika.neuron.TemplateSynapseInfo

getLabel(Activation<?>) - Method in class network.aika.Config

getLastPosition() - Method in class network.aika.neuron.SampleSpace

getLearnRate() - Method in class network.aika.Config

getLink() - Method in class network.aika.neuron.bindingsignal.BindingSignal

getLinkingOrder() - Method in class network.aika.steps.activation.Linking

getLinkingOrder() - Method in class network.aika.steps.activation.Propagate

getLinkingOrder() - Method in interface network.aika.steps.QueueKey

getLinkingOrder() - Method in class network.aika.steps.Step

getLinks(Activation) - Method in interface network.aika.direction.Direction

getLinks(Activation) - Method in class network.aika.direction.Input

getLinks(Activation) - Method in class network.aika.direction.Output

getLock() - Method in class network.aika.neuron.Neuron

getLooseLinkingRange() - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

getLooseLinkingRange() - Method in class network.aika.neuron.Synapse

getLooselyRelatedBindingSignals(BindingSignal<?>, Integer, Neuron) - Method in class network.aika.text.Document

getLooselyRelatedBindingSignals(BindingSignal<?>, Integer, Neuron) - Method in class network.aika.Thought

getMainBranch() - Method in class network.aika.neuron.activation.BindingActivation

getModel() - Method in class network.aika.neuron.activation.Activation

getModel() - Method in class network.aika.neuron.Neuron

getModel() - Method in class network.aika.neuron.NeuronProvider

getModel() - Method in class network.aika.neuron.Synapse

getModel() - Method in class network.aika.Thought

getN() - Method in class network.aika.Model

getN(Range) - Method in class network.aika.neuron.SampleSpace

getNet() - Method in class network.aika.neuron.activation.Activation

getNetOuterGradient() - Method in class network.aika.neuron.activation.Activation

getNeuron() - Method in class network.aika.neuron.activation.Activation

getNeuron() - Method in class network.aika.neuron.NeuronProvider

getNeuron(String) - Method in class network.aika.Model

getNeuron(Synapse) - Method in interface network.aika.direction.Direction

getNeuron(Synapse) - Method in class network.aika.direction.Input

getNeuron(Synapse) - Method in class network.aika.direction.Output

getNeuronProvider() - Method in class network.aika.neuron.activation.Activation

getNeuronProvider(String) - Method in class network.aika.Model

getNewValue() - Method in class network.aika.fields.BiFunction

getNewValue() - Method in interface network.aika.fields.BooleanFieldOutput

getNewValue() - Method in class network.aika.fields.ConstantDoubleField

getNewValue() - Method in class network.aika.fields.DoubleField

getNewValue() - Method in interface network.aika.fields.DoubleFieldOutput

getNewValue() - Method in class network.aika.fields.FieldDivision

getNewValue() - Method in class network.aika.fields.FieldFunction

getNewValue() - Method in class network.aika.fields.FieldMultiplication

getNewValue() - Method in class network.aika.fields.InvertedDoubleField

getNewValue() - Method in class network.aika.fields.SwitchField

getNewValue() - Method in class network.aika.fields.ThresholdOperator

getNextTimestamp() - Method in class network.aika.Thought

getNextToken() - Method in class network.aika.text.TokenActivation

getNextTokenRelationBindingNeuron(PatternNeuron) - Static method in class network.aika.text.TextModel

getNumberOfActivations() - Method in class network.aika.Thought

getOnFired() - Method in class network.aika.neuron.activation.Activation

getOrigin() - Method in class network.aika.neuron.bindingsignal.BindingSignal

getOriginActivation() - Method in class network.aika.neuron.bindingsignal.BindingSignal

getOutput() - Method in class network.aika.neuron.activation.Link

getOutput() - Method in class network.aika.neuron.bindingsignal.Transition

getOutput() - Method in class network.aika.neuron.Synapse

getOutput(O, O) - Method in interface network.aika.direction.Direction

getOutput(O, O) - Method in class network.aika.direction.Input

getOutput(O, O) - Method in class network.aika.direction.Output

getOutputGradient() - Method in class network.aika.neuron.activation.Activation

getOutputKey() - Method in class network.aika.neuron.activation.Activation

getOutputLinks() - Method in class network.aika.neuron.activation.Activation

getOutputLinks(Synapse) - Method in class network.aika.neuron.activation.Activation

getOutputSynapse(NeuronProvider) - Method in class network.aika.neuron.Neuron

getOutputSynapses() - Method in class network.aika.neuron.Neuron

getOwnInputGradient() - Method in class network.aika.neuron.activation.BindingActivation

getOwnOutputGradient() - Method in class network.aika.neuron.activation.BindingActivation

getPatternBindingSignals() - Method in class network.aika.neuron.activation.Activation

getPhase() - Method in class network.aika.steps.activation.Counting

getPhase() - Method in class network.aika.steps.activation.InactiveLinks

getPhase() - Method in class network.aika.steps.activation.Linking

getPhase() - Method in class network.aika.steps.activation.PostTraining

getPhase() - Method in class network.aika.steps.activation.Propagate

getPhase() - Method in class network.aika.steps.activation.Save

getPhase() - Method in class network.aika.steps.FieldStep

getPhase() - Method in class network.aika.steps.link.Cleanup

getPhase() - Method in class network.aika.steps.link.LinkCounting

getPhase() - Method in class network.aika.steps.link.PropagateBindingSignal

getPhase() - Method in interface network.aika.steps.QueueKey

getPhase() - Method in class network.aika.steps.Step

getPInput() - Method in class network.aika.neuron.Synapse

getPOutput() - Method in class network.aika.neuron.Synapse

getPreviousToken() - Method in class network.aika.text.TokenActivation

getPreviousTokenRelationBindingNeuron(PatternNeuron) - Static method in class network.aika.text.TextModel

getProbability(Sign, double, boolean) - Method in class network.aika.neuron.Neuron

getProbability(Sign, Sign, double, boolean) - Method in class network.aika.neuron.Synapse

getPropagatePreCondition() - Method in class network.aika.fields.DoubleField

getPropagateTransitions() - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

getPropagateTransitions() - Method in class network.aika.neuron.conjunctive.PatternSynapse

getPropagateTransitions() - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

getPropagateTransitions() - Method in class network.aika.neuron.conjunctive.PrimaryInputSynapse

getPropagateTransitions() - Method in class network.aika.neuron.conjunctive.RelatedInputSynapse

getPropagateTransitions() - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

getPropagateTransitions() - Method in class network.aika.neuron.disjunctive.CategorySynapse

getPropagateTransitions() - Method in class network.aika.neuron.disjunctive.InhibitorySynapse

getPropagateTransitions() - Method in class network.aika.neuron.Synapse

getProvider() - Method in class network.aika.neuron.Neuron

getQueue() - Method in class network.aika.Thought

getQueuedSteps() - Method in class network.aika.neuron.activation.Element

getRange() - Method in class network.aika.neuron.activation.Activation

getRange() - Method in class network.aika.neuron.activation.BindingActivation

getRange() - Method in class network.aika.neuron.activation.CategoryActivation

getRange() - Method in class network.aika.neuron.activation.DummyActivation

getRange() - Method in class network.aika.neuron.activation.InhibitoryActivation

getRange() - Method in class network.aika.neuron.activation.PatternActivation

getRange() - Method in class network.aika.text.TokenActivation

getRange() - Method in class network.aika.Thought

getRelativeSurprisal(Sign, Sign, Range) - Method in class network.aika.neuron.activation.Link

getRelativeSurprisal(Sign, Sign, Range) - Method in class network.aika.neuron.activation.RelatedInputLink

getRetrievalCount() - Method in class network.aika.neuron.Neuron

getReverseBindingSignals(Neuron) - Method in class network.aika.neuron.activation.Activation

getReverseBindingSignals(Neuron) - Method in class network.aika.neuron.activation.BindingActivation

getReverseBindingSignals(Neuron) - Method in class network.aika.neuron.activation.DisjunctiveActivation

getReverseBindingSignals(Neuron) - Method in class network.aika.neuron.activation.DummyActivation

getSamePatternBindingSignal() - Method in class network.aika.neuron.activation.BindingActivation

getSampleSpace() - Method in class network.aika.neuron.Neuron

getSampleSpace() - Method in class network.aika.neuron.Synapse

getSign(double) - Static method in interface network.aika.sign.Sign

getSign(Activation) - Static method in interface network.aika.sign.Sign

getSortingWeight() - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

getSortingWeight() - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

getState() - Method in class network.aika.neuron.bindingsignal.BindingSignal

getStepName() - Method in interface network.aika.steps.QueueKey

getStepName() - Method in class network.aika.steps.Step

getStepsByElement(E) - Method in class network.aika.Thought

getSurprisal(Sign, Range, boolean) - Method in class network.aika.neuron.Neuron

getSurprisal(Sign, Sign, Range, boolean) - Method in class network.aika.neuron.Synapse

getSuspensionHook() - Method in class network.aika.Model

getSynapse() - Method in class network.aika.neuron.activation.Link

getSynapses(Neuron) - Method in interface network.aika.direction.Direction

getSynapses(Neuron) - Method in class network.aika.direction.Input

getSynapses(Neuron) - Method in class network.aika.direction.Output

getTargetSynapses(Direction, boolean) - Method in class network.aika.neuron.disjunctive.DisjunctiveNeuron

getTargetSynapses(Direction, boolean) - Method in class network.aika.neuron.Neuron

getTemplate() - Method in class network.aika.neuron.Neuron

getTemplate() - Method in class network.aika.neuron.Synapse

getTemplateGroup() - Method in class network.aika.neuron.Neuron

getTemplateGroup() - Method in class network.aika.neuron.TemplateNeuronInfo

getTemplateInfo() - Method in class network.aika.neuron.Neuron

getTemplateInfo() - Method in class network.aika.neuron.Synapse

getTemplateNeuron(byte) - Method in class network.aika.neuron.Templates

getTemplates() - Method in class network.aika.Model

getTemplateSynapse(byte) - Method in class network.aika.neuron.Templates

getTemplateSynapseId() - Method in class network.aika.neuron.Synapse

getTemplateSynapseId() - Method in class network.aika.neuron.TemplateSynapseInfo

getText(Activation<?>) - Static method in class network.aika.text.Document

getTextSegment(Range) - Method in class network.aika.text.Document

getThought() - Method in class network.aika.neuron.activation.Activation

getThought() - Method in class network.aika.neuron.activation.Element

getThought() - Method in class network.aika.neuron.activation.Link

getTimestamp() - Method in class network.aika.neuron.activation.Timestamp

getTimestamp() - Method in interface network.aika.steps.QueueKey

getTimestamp() - Method in class network.aika.steps.Step

getTimestampOnProcess() - Method in class network.aika.Thought

getTokenCategory() - Method in class network.aika.text.TextModel

getTokenLabel() - Method in class network.aika.neuron.conjunctive.PatternNeuron

getUpdate() - Method in class network.aika.fields.BiFunction

getUpdate() - Method in class network.aika.fields.ConstantDoubleField

getUpdate() - Method in class network.aika.fields.DoubleField

getUpdate() - Method in interface network.aika.fields.DoubleFieldOutput

getUpdate() - Method in class network.aika.fields.FieldDivision

getUpdate() - Method in class network.aika.fields.FieldFunction

getUpdate() - Method in class network.aika.fields.FieldMultiplication

getUpdate() - Method in class network.aika.fields.InvertedDoubleField

getUpdate() - Method in class network.aika.fields.SwitchField

getUpdate(DoubleFieldOutput) - Static method in interface network.aika.fields.DoubleFieldOutput

getValue() - Method in class network.aika.neuron.activation.Activation

getValue(DoubleFieldOutput) - Method in class network.aika.sign.Negative

getValue(DoubleFieldOutput) - Method in class network.aika.sign.Positive

getValue(DoubleFieldOutput) - Method in interface network.aika.sign.Sign

getWeight() - Method in class network.aika.neuron.Synapse

getWeightedInput() - Method in class network.aika.neuron.activation.Link

getWeightInput() - Method in class network.aika.neuron.activation.Link

getWeightInput() - Method in class network.aika.neuron.activation.PositiveFeedbackLink

getWeightOutput() - Method in class network.aika.neuron.activation.Link

getWeightOutput() - Method in class network.aika.neuron.activation.PositiveFeedbackLink

H

hasBranches() - Method in class network.aika.neuron.activation.BindingActivation

hashCode() - Method in class network.aika.neuron.activation.Activation

hashCode() - Method in class network.aika.neuron.NeuronProvider

I

id - Variable in class network.aika.neuron.activation.Activation

ID_COMPARATOR - Static variable in class network.aika.neuron.activation.Activation

in1 - Variable in class network.aika.fields.AbstractBiFunction

in2 - Variable in class network.aika.fields.AbstractBiFunction

InactiveLinks - Class in network.aika.steps.activation

InactiveLinks(Activation) - Constructor for class network.aika.steps.activation.InactiveLinks

incrementRetrievalCounter() - Method in class network.aika.Model

index() - Method in class network.aika.sign.Negative

index() - Method in class network.aika.sign.Positive

index() - Method in interface network.aika.sign.Sign

INDEX - Static variable in class network.aika.callbacks.FSSuspensionCallback

induce() - Method in class network.aika.neuron.activation.Activation

induce() - Method in class network.aika.neuron.activation.Link

INHIBITORY_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

INHIBITORY_TEMPLATE - Variable in class network.aika.neuron.Templates

InhibitoryActivation - Class in network.aika.neuron.activation

InhibitoryActivation(int, Thought, InhibitoryNeuron) - Constructor for class network.aika.neuron.activation.InhibitoryActivation

InhibitoryLink - Class in network.aika.neuron.activation

InhibitoryLink(InhibitorySynapse, BindingActivation, InhibitoryActivation) - Constructor for class network.aika.neuron.activation.InhibitoryLink

InhibitoryNeuron - Class in network.aika.neuron.disjunctive

InhibitoryNeuron() - Constructor for class network.aika.neuron.disjunctive.InhibitoryNeuron

InhibitoryNeuron(NeuronProvider) - Constructor for class network.aika.neuron.disjunctive.InhibitoryNeuron

InhibitorySynapse - Class in network.aika.neuron.disjunctive

InhibitorySynapse() - Constructor for class network.aika.neuron.disjunctive.InhibitorySynapse

init() - Method in class network.aika.Model

init() - Method in class network.aika.neuron.activation.Link

init() - Method in class network.aika.text.TextModel

init(Synapse, Activation) - Method in class network.aika.neuron.activation.Activation

init(Synapse, Activation) - Method in class network.aika.neuron.activation.BindingActivation

init(Synapse, Activation) - Method in class network.aika.neuron.activation.PatternActivation

initCategory(Templates, String, PatternNeuron...) - Static method in class network.aika.utils.TestUtils

initFields() - Method in class network.aika.neuron.activation.Activation

initFields() - Method in class network.aika.neuron.activation.BindingActivation

initFromTemplate(ConjunctiveNeuron) - Method in class network.aika.neuron.conjunctive.ConjunctiveNeuron

initFromTemplate(PositiveFeedbackSynapse) - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

initFromTemplate(Neuron) - Method in class network.aika.neuron.Neuron

initFromTemplate(S) - Method in class network.aika.neuron.Synapse

initGradientFields() - Method in class network.aika.neuron.activation.Activation

initGradientFields() - Method in class network.aika.neuron.activation.BindingActivation

initInhibitoryLoop(Templates, String, BindingNeuron...) - Static method in class network.aika.utils.TestUtils

initPatternLoop(Templates, String, BindingNeuron...) - Static method in class network.aika.utils.TestUtils

initWeightInput() - Method in class network.aika.neuron.activation.Link

initWeightInput() - Method in class network.aika.neuron.activation.NegativeFeedbackLink

initWeightInput() - Method in class network.aika.neuron.activation.PositiveFeedbackLink

InMemorySuspensionCallback - Class in network.aika.callbacks

InMemorySuspensionCallback() - Constructor for class network.aika.callbacks.InMemorySuspensionCallback

input - Variable in class network.aika.neuron.activation.Link

input - Variable in class network.aika.neuron.Synapse

Input - Class in network.aika.direction

Input() - Constructor for class network.aika.direction.Input

INPUT - Enum constant in enum class network.aika.neuron.bindingsignal.State

INPUT - Static variable in interface network.aika.direction.Direction

INPUT_BINDING_TEMPLATE - Variable in class network.aika.neuron.Templates

INPUT_PATTERN_TEMPLATE - Variable in class network.aika.neuron.Templates

inputGradient - Variable in class network.aika.neuron.activation.Activation

inputLinkExists(Synapse) - Method in class network.aika.neuron.activation.Activation

inputLinks - Variable in class network.aika.neuron.activation.Activation

inputSynapses - Variable in class network.aika.neuron.Neuron

instantiateTemplate(boolean) - Method in class network.aika.neuron.conjunctive.BindingNeuron

instantiateTemplate(boolean) - Method in class network.aika.neuron.conjunctive.PatternNeuron

instantiateTemplate(boolean) - Method in class network.aika.neuron.disjunctive.CategoryNeuron

instantiateTemplate(boolean) - Method in class network.aika.neuron.disjunctive.InhibitoryNeuron

instantiateTemplate(boolean) - Method in class network.aika.neuron.Neuron

instantiateTemplate(I, O) - Method in class network.aika.neuron.Synapse

invert() - Method in interface network.aika.direction.Direction

invert() - Method in class network.aika.direction.Input

invert() - Method in class network.aika.direction.Output

invert() - Method in class network.aika.sign.Negative

invert() - Method in class network.aika.sign.Positive

invert() - Method in interface network.aika.sign.Sign

InvertedDoubleField - Class in network.aika.fields

InvertedDoubleField(String, DoubleFieldOutput) - Constructor for class network.aika.fields.InvertedDoubleField

isAllowTraining() - Method in class network.aika.neuron.Neuron

isAllowTraining() - Method in class network.aika.neuron.Synapse

isBound() - Method in class network.aika.neuron.activation.BindingActivation

isBoundToConflictingBS(BindingSignal) - Method in class network.aika.neuron.activation.Activation

isBoundToConflictingBS(BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

isBoundToConflictingBS(BindingSignal) - Method in class network.aika.neuron.activation.CategoryActivation

isBoundToConflictingBS(BindingSignal) - Method in class network.aika.neuron.activation.DummyActivation

isBoundToConflictingBS(BindingSignal) - Method in class network.aika.neuron.activation.InhibitoryActivation

isBoundToConflictingBS(BindingSignal) - Method in class network.aika.neuron.activation.PatternActivation

isCausal() - Method in class network.aika.neuron.activation.Link

isCausal(Activation, Activation) - Static method in class network.aika.neuron.activation.Link

isCountingEnabled() - Method in class network.aika.Config

isFinal() - Method in class network.aika.neuron.activation.Activation

isFired() - Method in class network.aika.neuron.activation.Activation

isInitialized() - Method in class network.aika.fields.AbstractBiFunction

isInitialized() - Method in class network.aika.fields.ConstantDoubleField

isInitialized() - Method in class network.aika.fields.DoubleField

isInitialized() - Method in class network.aika.fields.FieldFunction

isInitialized() - Method in interface network.aika.fields.FieldOutput

isInitialized() - Method in class network.aika.fields.InvertedDoubleField

isInitialized() - Method in class network.aika.fields.ThresholdOperator

isInput - Variable in class network.aika.neuron.activation.Activation

isInput() - Method in class network.aika.neuron.activation.Activation

isInputLinked() - Method in class network.aika.neuron.Synapse

isMainBranch() - Method in class network.aika.neuron.activation.BindingActivation

isModified() - Method in class network.aika.neuron.Neuron

isNegative() - Method in class network.aika.neuron.activation.Link

isNegative() - Method in class network.aika.neuron.Synapse

isNetworkInput - Variable in class network.aika.neuron.Neuron

isNetworkInput() - Method in class network.aika.neuron.activation.Activation

isNetworkInput() - Method in class network.aika.neuron.Neuron

isOfTemplate(Synapse) - Method in class network.aika.neuron.Synapse

isOrigin() - Method in class network.aika.neuron.bindingsignal.BindingSignal

isOutputLinked() - Method in class network.aika.neuron.Synapse

isRecurrent() - Method in class network.aika.neuron.activation.Link

isRecurrent() - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

isRecurrent() - Method in class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

isRecurrent() - Method in class network.aika.neuron.Synapse

isSelfRef() - Method in class network.aika.neuron.activation.Link

isSelfRef(Activation) - Method in class network.aika.neuron.activation.Activation

isSelfRef(Activation) - Method in class network.aika.neuron.activation.BindingActivation

isSelfRef(Activation) - Method in class network.aika.neuron.activation.DisjunctiveActivation

isSelfRef(Activation) - Method in class network.aika.neuron.activation.DummyActivation

isSelfRef(Activation) - Method in class network.aika.neuron.activation.InhibitoryActivation

isSelfRef(Activation) - Method in class network.aika.neuron.activation.PatternActivation

isSeparateBranch(InhibitoryActivation) - Method in class network.aika.neuron.activation.BindingActivation

isSuspended() - Method in class network.aika.neuron.NeuronProvider

isTemplate() - Method in class network.aika.neuron.activation.Activation

isTemplate() - Method in class network.aika.neuron.activation.Link

isTemplate() - Method in class network.aika.neuron.Neuron

isTemplate() - Method in class network.aika.neuron.Synapse

isTemplatesEnabled() - Method in class network.aika.Config

isTrainingEnabled() - Method in class network.aika.Config

isZero() - Method in class network.aika.neuron.Synapse

J

join(Range, Range) - Static method in class network.aika.neuron.Range

L

length() - Method in class network.aika.neuron.Range

length() - Method in class network.aika.text.Document

length() - Method in class network.aika.Thought

limit(Range) - Method in class network.aika.neuron.Range

limitBias() - Method in class network.aika.neuron.conjunctive.ConjunctiveNeuron

If the complete bias exceeds the threshold of 0 by itself, the neuron would become constantly active.

limitBias() - Method in class network.aika.neuron.Neuron

LIMITED_RECTIFIED_LINEAR_UNIT - Enum constant in enum class network.aika.neuron.ActivationFunction

link() - Method in class network.aika.neuron.activation.Activation

link() - Method in class network.aika.neuron.bindingsignal.BindingSignal

Link<S extends Synapse,I extends Activation,O extends Activation> - Class in network.aika.neuron.activation

Link(S, I, O) - Constructor for class network.aika.neuron.activation.Link

LinkCounting - Class in network.aika.steps.link

Counts the number of input or output activations a particular synapse has encountered.

linkExists(IA, OA) - Method in class network.aika.neuron.Synapse

linkExists(Direction, Synapse, boolean) - Method in class network.aika.neuron.activation.Activation

linkExists(InhibitoryActivation, BindingActivation) - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

Linking - Class in network.aika.steps.activation

The job of the linking phase is to propagate information through the network by creating the required activations and links.

LinkingOrder - Enum Class in network.aika.steps

linkInput() - Method in class network.aika.neuron.activation.Link

linkInput() - Method in class network.aika.neuron.Synapse

linkInputs() - Method in class network.aika.neuron.activation.Activation

linkOutput() - Method in class network.aika.neuron.activation.Link

linkOutput() - Method in class network.aika.neuron.disjunctive.DisjunctiveSynapse

linkOutput() - Method in class network.aika.neuron.Synapse

linkOutputs() - Method in class network.aika.neuron.activation.Activation

loadIndex(Model) - Method in class network.aika.callbacks.FSSuspensionCallback

loadIndex(Model) - Method in class network.aika.callbacks.InMemorySuspensionCallback

loadIndex(Model) - Method in interface network.aika.callbacks.SuspensionCallback

lock - Variable in class network.aika.neuron.Neuron

lookupNeuron(Long) - Method in class network.aika.Model

lookupNeuronProvider(String, Model.NeuronProducer) - Method in class network.aika.Model

lookupToken(String) - Method in class network.aika.text.TextModel

LOWER - Enum constant in enum class network.aika.utils.Bound

M

match(BindingSignal<O>) - Method in class network.aika.neuron.bindingsignal.BindingSignal

MAX - Static variable in class network.aika.neuron.activation.Timestamp

MAX_NEURON - Static variable in class network.aika.neuron.NeuronProvider

MIN - Static variable in class network.aika.neuron.activation.Timestamp

MIN_NEURON - Static variable in class network.aika.neuron.NeuronProvider

MissingNeuronException - Exception in network.aika.callbacks

MissingNeuronException(String) - Constructor for exception network.aika.callbacks.MissingNeuronException

model - Variable in class network.aika.Thought

Model - Class in network.aika

Model() - Constructor for class network.aika.Model

Model(SuspensionCallback) - Constructor for class network.aika.Model

MODEL - Static variable in class network.aika.callbacks.FSSuspensionCallback

Model.NeuronProducer - Interface in network.aika

mul(String, DoubleFieldOutput, DoubleFieldOutput) - Static method in class network.aika.fields.FieldUtils

mul(String, DoubleFieldOutput, DoubleFieldOutput, DoubleFieldInput) - Static method in class network.aika.fields.FieldUtils

mulUnregistered(String, DoubleFieldOutput, DoubleFieldOutput) - Static method in class network.aika.fields.FieldUtils

mulUnregistered(String, DoubleFieldOutput, DoubleFieldOutput, DoubleFieldInput...) - Static method in class network.aika.fields.FieldUtils

N

NEG - Static variable in interface network.aika.sign.Sign

Negative - Class in network.aika.sign

Negative() - Constructor for class network.aika.sign.Negative

NEGATIVE_FEEDBACK_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

NegativeFeedbackLink - Class in network.aika.neuron.activation

NegativeFeedbackLink(NegativeFeedbackSynapse, InhibitoryActivation, BindingActivation) - Constructor for class network.aika.neuron.activation.NegativeFeedbackLink

NegativeFeedbackSynapse - Class in network.aika.neuron.conjunctive

NegativeFeedbackSynapse() - Constructor for class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

net - Variable in class network.aika.neuron.activation.Activation

netOuterGradient - Variable in class network.aika.neuron.activation.Activation

network.aika - package network.aika

network.aika.callbacks - package network.aika.callbacks

network.aika.direction - package network.aika.direction

network.aika.fields - package network.aika.fields

network.aika.neuron - package network.aika.neuron

network.aika.neuron.activation - package network.aika.neuron.activation

network.aika.neuron.axons - package network.aika.neuron.axons

network.aika.neuron.bindingsignal - package network.aika.neuron.bindingsignal

network.aika.neuron.conjunctive - package network.aika.neuron.conjunctive

network.aika.neuron.disjunctive - package network.aika.neuron.disjunctive

network.aika.sign - package network.aika.sign

network.aika.steps - package network.aika.steps

network.aika.steps.activation - package network.aika.steps.activation

network.aika.steps.link - package network.aika.steps.link

network.aika.text - package network.aika.text

network.aika.utils - package network.aika.utils

neuron - Variable in class network.aika.neuron.activation.Activation

Neuron<S extends Synapse,A extends Activation> - Class in network.aika.neuron

Neuron() - Constructor for class network.aika.neuron.Neuron

Neuron(Model, boolean) - Constructor for class network.aika.neuron.Neuron

Neuron(NeuronProvider) - Constructor for class network.aika.neuron.Neuron

NEURON_COMPARATOR - Static variable in class network.aika.neuron.activation.Activation

NeuronProvider - Class in network.aika.neuron

The NeuronProvider class is a proxy implementation for the real neuron implementation in the class Neuron.

NeuronProvider(long) - Constructor for class network.aika.neuron.NeuronProvider

NeuronProvider(Model, long) - Constructor for class network.aika.neuron.NeuronProvider

NeuronProvider(Model, Neuron) - Constructor for class network.aika.neuron.NeuronProvider

next(Direction) - Method in class network.aika.neuron.bindingsignal.Transition

NOT_SET - Enum constant in enum class network.aika.steps.LinkingOrder

NOT_SET - Static variable in class network.aika.neuron.activation.Timestamp

NOT_SET_AFTER - Static variable in class network.aika.neuron.activation.Timestamp

O

onActivationCreationEvent(Activation, Synapse, Activation) - Method in interface network.aika.callbacks.EventListener

onActivationCreationEvent(Activation, Synapse, Activation) - Method in class network.aika.Thought

onBindingSignalArrived(BindingSignal) - Method in class network.aika.neuron.activation.Activation

onBindingSignalArrived(BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

onBindingSignalArrived(BindingSignal) - Method in class network.aika.neuron.activation.PatternActivation

onBindingSignalArrivedFinal(BindingSignal) - Method in class network.aika.neuron.activation.Activation

onBindingSignalArrivedFinalFired(BindingSignal) - Method in class network.aika.neuron.activation.Activation

onBindingSignalArrivedFinalFiredBound(BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

onBindingSignalArrivedFired(BindingSignal) - Method in class network.aika.neuron.activation.Activation

onBindingSignalArrivedFired(BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

onBindingSignalArrivedFiredBound(BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

onBound() - Method in class network.aika.neuron.activation.BindingActivation

ONE - Static variable in class network.aika.fields.ConstantDoubleField

onFinal() - Method in class network.aika.neuron.activation.Activation

onFinal() - Method in class network.aika.neuron.activation.BindingActivation

onFinal() - Method in class network.aika.neuron.activation.PatternActivation

onFinalFired() - Method in class network.aika.neuron.activation.Activation

onFired - Variable in class network.aika.neuron.activation.Activation

onFired() - Method in class network.aika.neuron.activation.Activation

onLinkCreationEvent(Link) - Method in interface network.aika.callbacks.EventListener

onLinkCreationEvent(Link) - Method in class network.aika.Thought

open() - Method in class network.aika.callbacks.FSSuspensionCallback

open() - Method in class network.aika.callbacks.InMemorySuspensionCallback

open() - Method in interface network.aika.callbacks.SuspensionCallback

open(boolean) - Method in class network.aika.Model

originEquals(BindingSignal, BindingSignal) - Static method in class network.aika.neuron.bindingsignal.BindingSignal

outerGrad(double) - Method in enum class network.aika.neuron.ActivationFunction

output - Variable in class network.aika.neuron.activation.Link

output - Variable in class network.aika.neuron.Synapse

Output - Class in network.aika.direction

Output() - Constructor for class network.aika.direction.Output

OUTPUT - Static variable in interface network.aika.direction.Direction

outputGradient - Variable in class network.aika.neuron.activation.Activation

OutputKey - Class in network.aika.neuron.activation

OutputKey(NeuronProvider, Integer) - Constructor for class network.aika.neuron.activation.OutputKey

outputLinks - Variable in class network.aika.neuron.activation.Activation

outputSynapses - Variable in class network.aika.neuron.Neuron

ownOutputGradient - Variable in class network.aika.neuron.activation.BindingActivation

P

PATTERN_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

PATTERN_TEMPLATE - Variable in class network.aika.neuron.Templates

PatternActivation - Class in network.aika.neuron.activation

PatternActivation(int, PatternNeuron) - Constructor for class network.aika.neuron.activation.PatternActivation

PatternActivation(int, Thought, PatternNeuron) - Constructor for class network.aika.neuron.activation.PatternActivation

PatternAxon - Interface in network.aika.neuron.axons

PatternLink - Class in network.aika.neuron.activation

PatternLink(PatternSynapse, BindingActivation, PatternActivation) - Constructor for class network.aika.neuron.activation.PatternLink

PatternNeuron - Class in network.aika.neuron.conjunctive

PatternNeuron() - Constructor for class network.aika.neuron.conjunctive.PatternNeuron

PatternNeuron(Model, boolean) - Constructor for class network.aika.neuron.conjunctive.PatternNeuron

PatternNeuron(NeuronProvider) - Constructor for class network.aika.neuron.conjunctive.PatternNeuron

PatternSynapse - Class in network.aika.neuron.conjunctive

PatternSynapse() - Constructor for class network.aika.neuron.conjunctive.PatternSynapse

Phase - Enum Class in network.aika.steps

POS - Static variable in interface network.aika.sign.Sign

Positive - Class in network.aika.sign

Positive() - Constructor for class network.aika.sign.Positive

POSITIVE_FEEDBACK_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

PositiveFeedbackLink - Class in network.aika.neuron.activation

PositiveFeedbackLink(PositiveFeedbackSynapse, PatternActivation, BindingActivation) - Constructor for class network.aika.neuron.activation.PositiveFeedbackLink

PositiveFeedbackSynapse - Class in network.aika.neuron.conjunctive

PositiveFeedbackSynapse() - Constructor for class network.aika.neuron.conjunctive.PositiveFeedbackSynapse

POST_FIRED - Enum constant in enum class network.aika.steps.LinkingOrder

POST_PROCESSING - Enum constant in enum class network.aika.steps.Phase

postProcessing() - Method in class network.aika.Thought

The postprocessing steps such as counting, cleanup or save are executed.

PostTraining - Class in network.aika.steps.activation

Determines which input synapses of this activations neuron should be linked to the input neuron.

PRE_FIRED - Enum constant in enum class network.aika.steps.LinkingOrder

prepareNewModel() - Method in class network.aika.callbacks.FSSuspensionCallback

prepareNewModel() - Method in class network.aika.callbacks.InMemorySuspensionCallback

prepareNewModel() - Method in interface network.aika.callbacks.SuspensionCallback

PRIMARY_INPUT_SYNAPSE_FROM_CATEGORY_TEMPLATE - Variable in class network.aika.neuron.Templates

PRIMARY_INPUT_SYNAPSE_FROM_PATTERN_TEMPLATE - Variable in class network.aika.neuron.Templates

PrimaryInputLink<IA extends Activation> - Class in network.aika.neuron.activation

PrimaryInputLink(PrimaryInputSynapse, IA, BindingActivation) - Constructor for class network.aika.neuron.activation.PrimaryInputLink

PrimaryInputSynapse<I extends Neuron & PatternAxon,IA extends Activation> - Class in network.aika.neuron.conjunctive

PrimaryInputSynapse() - Constructor for class network.aika.neuron.conjunctive.PrimaryInputSynapse

probability(double, double) - Method in enum class network.aika.utils.Bound

process() - Method in class network.aika.fields.QueueDoubleField

process() - Method in class network.aika.steps.activation.Counting

process() - Method in class network.aika.steps.activation.InactiveLinks

process() - Method in class network.aika.steps.activation.Linking

process() - Method in class network.aika.steps.activation.PostTraining

process() - Method in class network.aika.steps.activation.Propagate

process() - Method in class network.aika.steps.activation.Save

process() - Method in class network.aika.steps.FieldStep

process() - Method in class network.aika.steps.link.Cleanup

process() - Method in class network.aika.steps.link.LinkCounting

process() - Method in class network.aika.steps.link.PropagateBindingSignal

process() - Method in class network.aika.steps.Step

process(Phase) - Method in class network.aika.Thought

processFinalMode() - Method in class network.aika.Thought

After the switch into final mode, the initial assumption, that the positive feedback synapses are fully active is reverted and the actual evaluation of the feedback synapses takes place.

PROCESSING - Enum constant in enum class network.aika.steps.Phase

processTokens(Iterable<String>) - Method in class network.aika.text.Document

propagate(Activation, Synapse) - Static method in class network.aika.steps.activation.Propagate

propagate(Link) - Method in class network.aika.neuron.bindingsignal.BindingSignal

Propagate - Class in network.aika.steps.activation

The job of the linking phase is to propagate information through the network by creating the required activations and links.

PROPAGATE - Enum constant in enum class network.aika.steps.LinkingOrder

PropagateBindingSignal - Class in network.aika.steps.link

Propagates the binding signal to the next activation.

PropagateBindingSignal(Link, Collection<BindingSignal>) - Constructor for class network.aika.steps.link.PropagateBindingSignal

propagateBindingSignals(Link, Collection<BindingSignal>) - Static method in class network.aika.neuron.bindingsignal.BindingSignal

propagateGradient() - Method in class network.aika.neuron.activation.Activation

propagateInitialValue() - Method in class network.aika.fields.AbstractBiFunction

propagateInitialValue() - Method in class network.aika.fields.ConstantDoubleField

propagateInitialValue() - Method in class network.aika.fields.DoubleField

propagateInitialValue() - Method in class network.aika.fields.FieldFunction

propagateInitialValue() - Method in class network.aika.fields.FieldListener

propagateInitialValue() - Method in interface network.aika.fields.FieldOutput

propagateInitialValue() - Method in class network.aika.fields.InvertedDoubleField

propagateInitialValue() - Method in class network.aika.fields.SwitchField

propagateInitialValue() - Method in class network.aika.fields.ThresholdOperator

PropagatePreCondition - Interface in network.aika.fields

propagateUpdate(double) - Method in class network.aika.fields.FieldListener

putLabel(String, Long) - Method in class network.aika.callbacks.FSSuspensionCallback

putLabel(String, Long) - Method in class network.aika.callbacks.InMemorySuspensionCallback

putLabel(String, Long) - Method in interface network.aika.callbacks.SuspensionCallback

putLabel(String, Long) - Method in class network.aika.Model

Q

QueueDoubleField - Class in network.aika.fields

QueueDoubleField(Element, String) - Constructor for class network.aika.fields.QueueDoubleField

QueueKey - Interface in network.aika.steps

R

Range - Class in network.aika.neuron

Range(long, long) - Constructor for class network.aika.neuron.Range

reactivate(Model) - Method in class network.aika.neuron.Neuron

read(DataInput, Model) - Static method in class network.aika.neuron.Neuron

read(DataInput, Model) - Static method in class network.aika.neuron.SampleSpace

read(DataInput, Model) - Static method in class network.aika.neuron.Synapse

readFields(DataInput, Model) - Method in class network.aika.fields.DoubleField

readFields(DataInput, Model) - Method in class network.aika.Model

readFields(DataInput, Model) - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

readFields(DataInput, Model) - Method in class network.aika.neuron.conjunctive.PatternNeuron

readFields(DataInput, Model) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

readFields(DataInput, Model) - Method in class network.aika.neuron.Neuron

readFields(DataInput, Model) - Method in class network.aika.neuron.SampleSpace

readFields(DataInput, Model) - Method in class network.aika.neuron.Synapse

readFields(DataInput, Model) - Method in class network.aika.text.TextModel

readFields(DataInput, Model) - Method in interface network.aika.utils.Writable

Deserialize the fields of this object from in.

ReadWriteLock - Class in network.aika.utils

ReadWriteLock() - Constructor for class network.aika.utils.ReadWriteLock

receiveWeightUpdate() - Method in class network.aika.neuron.activation.Link

RECTIFIED_HYPERBOLIC_TANGENT - Enum constant in enum class network.aika.neuron.ActivationFunction

register(A) - Method in class network.aika.neuron.Neuron

register(Activation) - Method in class network.aika.Thought

register(NeuronProvider) - Method in class network.aika.Model

register(NeuronProvider, SortedSet<Activation<?>>) - Method in class network.aika.Thought

registerBindingSignal(BindingSignal) - Method in class network.aika.neuron.activation.Activation

registerBindingSignal(BindingSignal) - Method in class network.aika.neuron.activation.PatternActivation

registerBindingSignalSource(Activation, BindingSignal) - Method in class network.aika.Thought

registerOutputs(DoubleFieldInput...) - Method in class network.aika.fields.FieldListener

registerPatternBindingSignalSource(Activation, BindingSignal) - Method in class network.aika.text.Document

registerReverseBindingSignal(Activation, BindingSignal) - Method in class network.aika.neuron.activation.Activation

registerReverseBindingSignal(Activation, BindingSignal) - Method in class network.aika.neuron.activation.BindingActivation

registerWeakReference(NeuronProvider) - Method in class network.aika.Model

REL_NEXT_TOKEN_LABEL - Static variable in class network.aika.text.TextModel

REL_PREVIOUS_TOKEN_LABEL - Static variable in class network.aika.text.TextModel

RELATED_INPUT_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

RelatedInputLink - Class in network.aika.neuron.activation

RelatedInputLink(RelatedInputSynapse, BindingActivation, BindingActivation) - Constructor for class network.aika.neuron.activation.RelatedInputLink

RelatedInputSynapse - Class in network.aika.neuron.conjunctive

RelatedInputSynapse() - Constructor for class network.aika.neuron.conjunctive.RelatedInputSynapse

releaseReadLock() - Method in class network.aika.utils.ReadWriteLock

releaseWriteLock() - Method in class network.aika.utils.ReadWriteLock

remove(Long) - Method in class network.aika.callbacks.FSSuspensionCallback

remove(Long) - Method in class network.aika.callbacks.InMemorySuspensionCallback

remove(Long) - Method in interface network.aika.callbacks.SuspensionCallback

removeEventListener(EventListener) - Method in class network.aika.Thought

removeInputSynapse(S) - Method in class network.aika.neuron.Neuron

removeLabel(String) - Method in class network.aika.callbacks.FSSuspensionCallback

removeLabel(String) - Method in class network.aika.callbacks.InMemorySuspensionCallback

removeLabel(String) - Method in interface network.aika.callbacks.SuspensionCallback

removeOutputSynapse(Synapse) - Method in class network.aika.neuron.Neuron

removeQueuedPhase(Step) - Method in class network.aika.neuron.activation.Element

removeStep(Step) - Method in class network.aika.Thought

resetModified() - Method in class network.aika.neuron.Neuron

retrieve(Long) - Method in class network.aika.callbacks.FSSuspensionCallback

retrieve(Long) - Method in class network.aika.callbacks.InMemorySuspensionCallback

retrieve(Long) - Method in interface network.aika.callbacks.SuspensionCallback

reverseBindingSignals - Variable in class network.aika.neuron.activation.Activation

round(double) - Static method in class network.aika.utils.Utils

round(double, double) - Static method in class network.aika.utils.Utils

S

SAME - Enum constant in enum class network.aika.neuron.bindingsignal.State

SAME_PATTERN_SYNAPSE_TEMPLATE - Variable in class network.aika.neuron.Templates

SamePatternLink - Class in network.aika.neuron.activation

SamePatternLink(SamePatternSynapse, BindingActivation, BindingActivation) - Constructor for class network.aika.neuron.activation.SamePatternLink

SamePatternSynapse - Class in network.aika.neuron.conjunctive

The Same Pattern Binding Neuron Synapse is an inner synapse between two binding neurons of the same pattern.

SamePatternSynapse() - Constructor for class network.aika.neuron.conjunctive.SamePatternSynapse

sampleSpace - Variable in class network.aika.neuron.Neuron

sampleSpace - Variable in class network.aika.neuron.Synapse

SampleSpace - Class in network.aika.neuron

The Sample Space keeps track of the number of training instances a certain neuron or synapse has encountered.

SampleSpace() - Constructor for class network.aika.neuron.SampleSpace

save() - Method in class network.aika.neuron.NeuronProvider

Save - Class in network.aika.steps.activation

Store model

SAVE - Enum constant in enum class network.aika.neuron.SuspensionMode

saveIndex(Model) - Method in class network.aika.callbacks.FSSuspensionCallback

saveIndex(Model) - Method in class network.aika.callbacks.InMemorySuspensionCallback

saveIndex(Model) - Method in interface network.aika.callbacks.SuspensionCallback

scale(double[], double) - Static method in class network.aika.utils.Utils

set(boolean) - Method in interface network.aika.fields.BooleanFieldInput

set(double) - Method in class network.aika.fields.DoubleField

set(double) - Method in interface network.aika.fields.DoubleFieldInput

set(double) - Method in class network.aika.fields.SwitchField

setAllowLooseLinking(boolean) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

setAllowPropagate(boolean) - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

setAllowTraining(boolean) - Method in class network.aika.neuron.Neuron

setAllowTraining(boolean) - Method in class network.aika.neuron.Synapse

setAlpha(Double) - Method in class network.aika.Config

setAndTriggerUpdate(boolean) - Method in interface network.aika.fields.BooleanFieldInput

setAndTriggerUpdate(double) - Method in interface network.aika.fields.DoubleFieldInput

setConfig(Config) - Method in class network.aika.Thought

setCountingEnabled(boolean) - Method in class network.aika.Config

setCreationTimestamp() - Method in class network.aika.neuron.activation.Activation

setCurrentThought(Thought<?>) - Method in class network.aika.Model

setCustomData(Writable) - Method in class network.aika.neuron.Neuron

setCustomDataInstanceSupplier(Supplier<Writable>) - Method in class network.aika.Model

setFinal() - Method in class network.aika.neuron.activation.Activation

setFinalMode() - Method in class network.aika.neuron.activation.Link

setFinalMode() - Method in class network.aika.neuron.activation.PositiveFeedbackLink

setFinalTimestamp() - Method in class network.aika.neuron.activation.BindingActivation

setFrequency(double) - Method in class network.aika.neuron.Neuron

setFrequency(Sign, Sign, double) - Method in class network.aika.neuron.Synapse

setInductionThreshold(double) - Method in class network.aika.Config

setInput(boolean) - Method in class network.aika.neuron.activation.Activation

setInput(I) - Method in class network.aika.neuron.Synapse

setInputNet(double) - Method in class network.aika.neuron.activation.Activation

setLabel(String) - Method in class network.aika.neuron.Neuron

setLabel(String) - Method in class network.aika.neuron.TemplateNeuronInfo

setLabel(String) - Method in class network.aika.neuron.TemplateSynapseInfo

setLastPosition(Long) - Method in class network.aika.neuron.SampleSpace

setLearnRate(double) - Method in class network.aika.Config

setLooseLinkingRange(int) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

setModified() - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

setModified() - Method in class network.aika.neuron.disjunctive.DisjunctiveSynapse

setModified() - Method in class network.aika.neuron.disjunctive.InhibitorySynapse

setModified() - Method in class network.aika.neuron.Neuron

setModified() - Method in class network.aika.neuron.Synapse

setN(int) - Method in class network.aika.neuron.SampleSpace

setN(long) - Method in class network.aika.Model

setNetworkInput(boolean) - Method in class network.aika.neuron.Neuron

setNeuron(N) - Method in class network.aika.neuron.activation.Activation

setNeuron(Neuron<?, ?>) - Method in class network.aika.neuron.NeuronProvider

setOutput(O) - Method in class network.aika.neuron.Synapse

setPropagatePreCondition(PropagatePreCondition) - Method in class network.aika.fields.DoubleField

setProvider(NeuronProvider) - Method in class network.aika.neuron.Neuron

setStatistic(Neuron, double, int, long) - Static method in class network.aika.utils.TestUtils

setStep(FieldStep) - Method in class network.aika.fields.QueueDoubleField

setSuspensionHook(SuspensionCallback) - Method in class network.aika.Model

setSynapse(S) - Method in class network.aika.neuron.activation.Link

setTemplateGroup(Set<Neuron>) - Method in class network.aika.neuron.TemplateNeuronInfo

setTemplatesEnabled(boolean) - Method in class network.aika.Config

setTemplateSynapseId(byte) - Method in class network.aika.neuron.TemplateSynapseInfo

setTimestamp(Timestamp) - Method in class network.aika.steps.Step

setTokenLabel(String) - Method in class network.aika.neuron.conjunctive.PatternNeuron

setTrainingEnabled(boolean) - Method in class network.aika.Config

setWeight(double) - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

setWeight(double) - Method in class network.aika.neuron.Synapse

Sign - Interface in network.aika.sign

SIGNS - Static variable in interface network.aika.sign.Sign

State - Enum Class in network.aika.neuron.bindingsignal

Step<E extends Element> - Class in network.aika.steps

Step(E) - Constructor for class network.aika.steps.Step

store(Long, String, Writable, byte[]) - Method in class network.aika.callbacks.FSSuspensionCallback

store(Long, String, Writable, byte[]) - Method in class network.aika.callbacks.InMemorySuspensionCallback

store(Long, String, Writable, byte[]) - Method in interface network.aika.callbacks.SuspensionCallback

sum(double[]) - Static method in class network.aika.utils.Utils

surprisal(double) - Static method in class network.aika.utils.Utils

suspend() - Method in class network.aika.neuron.Neuron

suspend(SuspensionMode) - Method in class network.aika.neuron.NeuronProvider

suspendAll(SuspensionMode) - Method in class network.aika.Model

suspendUnusedNeurons(long, SuspensionMode) - Method in class network.aika.Model

SuspensionCallback - Interface in network.aika.callbacks

The suspension hook is used to suspend neurons to an external storage in order to reduce the memory footprint. !!!

SuspensionMode - Enum Class in network.aika.neuron

switchField(String, DoubleFieldInterface, DoubleFieldInterface, BooleanSupplier) - Static method in class network.aika.fields.FieldUtils

SwitchField - Class in network.aika.fields

SwitchField(String, DoubleFieldInterface, boolean, DoubleFieldInterface, boolean, BooleanSupplier) - Constructor for class network.aika.fields.SwitchField

synapse - Variable in class network.aika.neuron.activation.Link

Synapse<S extends Synapse,I extends Neuron & Axon,O extends Neuron<?,OA>,L extends Link<S,IA,OA>,IA extends Activation,OA extends Activation> - Class in network.aika.neuron

Synapse() - Constructor for class network.aika.neuron.Synapse

T

template - Variable in class network.aika.neuron.Synapse

templateLinkExists(Synapse, Activation, Activation) - Static method in class network.aika.neuron.activation.Link

TemplateNeuronInfo - Class in network.aika.neuron

TemplateNeuronInfo() - Constructor for class network.aika.neuron.TemplateNeuronInfo

templateNeuronMatches(Neuron<?, ?>) - Method in class network.aika.neuron.Neuron

Templates - Class in network.aika.neuron

Templates(Model) - Constructor for class network.aika.neuron.Templates

TemplateSynapseInfo - Class in network.aika.neuron

TemplateSynapseInfo() - Constructor for class network.aika.neuron.TemplateSynapseInfo

TestUtils - Class in network.aika.utils

TestUtils() - Constructor for class network.aika.utils.TestUtils

TextModel - Class in network.aika.text

TextModel() - Constructor for class network.aika.text.TextModel

TextModel(SuspensionCallback) - Constructor for class network.aika.text.TextModel

thought - Variable in class network.aika.neuron.activation.Activation

Thought<M extends Model> - Class in network.aika

Thought(M) - Constructor for class network.aika.Thought

THOUGHT_COMPARATOR - Static variable in interface network.aika.steps.QueueKey

threshold(String, double, DoubleFieldOutput, BooleanFieldInput...) - Static method in class network.aika.fields.FieldUtils

ThresholdOperator - Class in network.aika.fields

ThresholdOperator(String, double, DoubleFieldOutput) - Constructor for class network.aika.fields.ThresholdOperator

ThresholdOperator(String, double, DoubleFieldOutput, BooleanFieldInput...) - Constructor for class network.aika.fields.ThresholdOperator

Timestamp - Class in network.aika.neuron.activation

Timestamp(long) - Constructor for class network.aika.neuron.activation.Timestamp

TOKEN_LABEL - Static variable in class network.aika.text.TextModel

TokenActivation - Class in network.aika.text

TokenActivation(int, int, int, Document, PatternNeuron) - Constructor for class network.aika.text.TokenActivation

toKeyString() - Method in class network.aika.neuron.activation.Activation

toKeyString() - Method in class network.aika.neuron.Neuron

TOLERANCE - Static variable in class network.aika.utils.Utils

toString() - Method in class network.aika.Config

toString() - Method in class network.aika.direction.Input

toString() - Method in class network.aika.direction.Output

toString() - Method in class network.aika.fields.AbstractBiFunction

toString() - Method in class network.aika.fields.DoubleField

toString() - Method in class network.aika.fields.FieldFunction

toString() - Method in class network.aika.fields.SwitchField

toString() - Method in class network.aika.Model

toString() - Method in class network.aika.neuron.activation.Activation

toString() - Method in class network.aika.neuron.activation.DummyActivation

toString() - Method in class network.aika.neuron.activation.Link

toString() - Method in class network.aika.neuron.activation.OutputKey

toString() - Method in class network.aika.neuron.activation.Timestamp

toString() - Method in class network.aika.neuron.bindingsignal.BindingSignal

toString() - Method in class network.aika.neuron.Neuron

toString() - Method in class network.aika.neuron.NeuronProvider

toString() - Method in class network.aika.neuron.Range

toString() - Method in class network.aika.neuron.SampleSpace

toString() - Method in class network.aika.neuron.Synapse

toString() - Method in class network.aika.sign.Negative

toString() - Method in class network.aika.sign.Positive

toString() - Method in class network.aika.steps.activation.Linking

toString() - Method in class network.aika.steps.activation.Propagate

toString() - Method in class network.aika.steps.FieldStep

toString() - Method in class network.aika.steps.link.PropagateBindingSignal

toString() - Method in class network.aika.steps.Step

toString() - Method in class network.aika.text.Document

toString() - Method in class network.aika.Thought

transition(BindingSignal, Direction, boolean) - Method in class network.aika.neuron.Synapse

Transition - Class in network.aika.neuron.bindingsignal

Transition(State, State) - Constructor for class network.aika.neuron.bindingsignal.Transition

triggerInternal() - Method in class network.aika.fields.DoubleField

triggerUpdate() - Method in class network.aika.fields.DoubleField

triggerUpdate() - Method in interface network.aika.fields.FieldInput

triggerUpdate() - Method in class network.aika.fields.QueueDoubleField

triggerUpdate() - Method in class network.aika.fields.SwitchField

triggerUpdate(int) - Method in class network.aika.fields.AbstractBiFunction

U

unlink() - Method in class network.aika.neuron.activation.Activation

unlinkInput() - Method in class network.aika.neuron.activation.Link

unlinkInput() - Method in class network.aika.neuron.Synapse

unlinkInputs() - Method in class network.aika.neuron.activation.Activation

unlinkOutput() - Method in class network.aika.neuron.activation.Link

unlinkOutput() - Method in class network.aika.neuron.Synapse

unlinkOutputs() - Method in class network.aika.neuron.activation.Activation

unregister(NeuronProvider) - Method in class network.aika.Model

updateAllowPropagate() - Method in class network.aika.neuron.conjunctive.ConjunctiveNeuron

updateAllowPropagate() - Method in class network.aika.neuron.conjunctive.PatternNeuron

updateAllowPropagate() - Method in class network.aika.neuron.Neuron

updateAvailable() - Method in class network.aika.fields.AbstractBiFunction

updateAvailable() - Method in class network.aika.fields.ConstantDoubleField

updateAvailable() - Method in class network.aika.fields.DoubleField

updateAvailable() - Method in class network.aika.fields.FieldFunction

updateAvailable() - Method in interface network.aika.fields.FieldOutput

updateAvailable() - Method in class network.aika.fields.InvertedDoubleField

updateAvailable() - Method in class network.aika.fields.SwitchField

updateAvailable() - Method in class network.aika.fields.ThresholdOperator

updateBias(double) - Method in class network.aika.neuron.activation.Activation

updateBias(double) - Method in class network.aika.neuron.activation.BindingActivation

updateBias(Neuron, double) - Static method in class network.aika.utils.TestUtils

updated(String, double) - Method in interface network.aika.fields.FieldUpdateEvent

updateLastPosition(Range) - Method in class network.aika.neuron.SampleSpace

updateModel() - Method in class network.aika.Thought

updateWeight(double) - Method in class network.aika.neuron.activation.Link

updateWeight(L, double) - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

updateWeight(L, double) - Method in class network.aika.neuron.disjunctive.DisjunctiveSynapse

updateWeight(L, double) - Method in class network.aika.neuron.Synapse

updateWeight(NegativeFeedbackLink, double) - Method in class network.aika.neuron.conjunctive.NegativeFeedbackSynapse

updateWeights(double) - Method in class network.aika.neuron.activation.Activation

UPPER - Enum constant in enum class network.aika.utils.Bound

Utils - Class in network.aika.utils

Utils() - Constructor for class network.aika.utils.Utils

V

value - Variable in class network.aika.neuron.activation.Activation

valueOf(String) - Static method in enum class network.aika.neuron.ActivationFunction

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class network.aika.neuron.bindingsignal.State

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class network.aika.neuron.SuspensionMode

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class network.aika.steps.LinkingOrder

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class network.aika.steps.Phase

Returns the enum constant of this class with the specified name.

valueOf(String) - Static method in enum class network.aika.utils.Bound

Returns the enum constant of this class with the specified name.

values() - Static method in enum class network.aika.neuron.ActivationFunction

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class network.aika.neuron.bindingsignal.State

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class network.aika.neuron.SuspensionMode

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class network.aika.steps.LinkingOrder

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class network.aika.steps.Phase

Returns an array containing the constants of this enum class, in the order they are declared.

values() - Static method in enum class network.aika.utils.Bound

Returns an array containing the constants of this enum class, in the order they are declared.

W

weight - Variable in class network.aika.neuron.Synapse

weightUpdate(double) - Method in class network.aika.neuron.Synapse

Writable - Interface in network.aika.utils

write(DataOutput) - Method in class network.aika.fields.DoubleField

write(DataOutput) - Method in class network.aika.Model

write(DataOutput) - Method in class network.aika.neuron.conjunctive.ConjunctiveSynapse

write(DataOutput) - Method in class network.aika.neuron.conjunctive.PatternNeuron

write(DataOutput) - Method in class network.aika.neuron.conjunctive.SamePatternSynapse

write(DataOutput) - Method in class network.aika.neuron.Neuron

write(DataOutput) - Method in class network.aika.neuron.SampleSpace

write(DataOutput) - Method in class network.aika.neuron.Synapse

write(DataOutput) - Method in class network.aika.text.TextModel

write(DataOutput) - Method in interface network.aika.utils.Writable

Serialize the fields of this object to out.

Z

ZERO - Static variable in class network.aika.fields.ConstantDoubleField

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