network.aika.neuron.activation

Class Activation

java.lang.Object

network.aika.lattice.NodeActivation<OrNode>

network.aika.lattice.OrNode.OrActivation

network.aika.neuron.activation.Activation

All Implemented Interfaces:

Comparable<NodeActivation<OrNode>>

public final class Activation
extends OrNode.OrActivation

The Activation class is the most central class in Aika. On the one hand it stores the activation value for a given neuron in the State substructure. On the other hand it specifies where this activation is located within the document and to which interpretation it belongs. The Activation.Key therefore consists of the logic node to which this activation belongs. If this logic node is an or-node, then this activation automatically also belongs to the neuron as well. Furthermore, the key contains the char range within the document and the relational id (rid). The relational id might be used to store the word pos for instance. Lastly, the key contain the interpretation node of this activation, specifying to which interpretation this activation belongs.

The activations are linked to each other on two levels. The fields inputs and outputs contain the activation links within the logic layer. The fields inputLinks and outputLinks contain the links on the neural layer.

Author:

Lukas Molzberger

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	Activation.AvgState
static class	Activation.Builder
static class	Activation.Link The SynapseActivation mirror the synapse link in the network of activations.
static class	Activation.Mode
static class	Activation.Rounds Since Aika is a recurrent neural network, it is necessary to compute several rounds of activation values.
static class	Activation.State A State object contains the activation value of an activation object that belongs to a neuron.
class	Activation.StateChange The StateChange class is used to store the state change of an activation that occurs in each node of the binary search tree.

Field Summary

Fields

Modifier and Type	Field and Description
static Comparator<Activation>	ACTIVATION_ID_COMP
Activation.State	avgState
static int	BEGIN
boolean	blocked
Candidate	candidate
Activation.StateChange	currentStateChange
long	currentStateV
static boolean	DEBUG_OUTPUT
SearchNode.Decision	decision
static int	END
Writable	extension
SearchNode.Decision	finalDecision
Activation.Rounds	finalRounds
SearchNode.Decision	inputDecision
Double	inputValue
double	lowerBound
long	markedAncDesc
long	markedDirty
long	markedHasCandidate
long	markedPredecessor
static Activation	MAX_ACTIVATION
static int	MAX_PREDECESSOR_DEPTH
static int	MAX_SELF_REFERENCING_DEPTH
static Activation	MIN_ACTIVATION
Activation.Rounds	rounds
List<Activation.AvgState>	searchStates
Integer	sequence
Map<Integer,Position>	slots
Double	targetValue
boolean	ubQueued
double	upperBound

Fields inherited from class network.aika.lattice.OrNode.OrActivation

orInputs

Fields inherited from class network.aika.lattice.NodeActivation

doc, id, node, outputsToAndNode, outputsToOrNode, outputToInputNode, repropagateV, visited

Constructor Summary

Constructors

Constructor and Description
Activation(int id, Document doc, OrNode n)

Method Summary

Modifier and Type	Method and Description
void	addLink(Linker.Direction dir, Activation.Link l)
void	adjustSelectedNeuronInputs(SearchNode.Decision d)
boolean	checkSelfReferencing(boolean onlySelected, int depth, long v)
void	computeBounds()
Activation.State	computeValueAndWeight(int round)
Collection<Activation>	getConflicts()
List<Activation.Link>	getFinalInputActivationLinks()
List<Activation.Link>	getFinalOutputActivationLinks()
Activation.State	getFinalState()
INeuron	getINeuron()
Activation.Link	getInputLink(Activation.Link l)
Stream<Activation.Link>	getInputLinks(boolean includePassive, boolean onlySelected)
Stream<Activation.Link>	getInputLinksBySynapse(boolean includePassive, Synapse syn)
SortedSet<Activation.Link>	getInputLinksOrderedBySynapse()
String	getLabel()
Activation.Link	getLinkBySynapseId(int synapseId)
Neuron	getNeuron()
Stream<Activation.Link>	getOutputLinks(boolean includePassive)
Stream<Activation.Link>	getOutputLinksBySynapse(boolean includePassive, Synapse syn)
Integer	getSequence()
Position	getSlot(int slot)
String	getText()
INeuron.Type	getType()
String	identityToString()
boolean	isActiveable()
boolean	isFinalActivation()
Integer	length()
String	linksToString()
void	markDirty(long v)
void	markPredecessor(long v, int depth)
double	process(SearchNode sn, int round, long v)
void	processBounds()
void	saveNewState()
void	saveOldState(Map<Activation,Activation.StateChange> changes, long v)
void	setDecision(SearchNode.Decision newDecision, long v)
void	setSlot(int slot, Position pos)
void	setSlots(Map<Integer,Position> slots)
void	setTargetValue(Double targetValue)
String	slotsToString()
String	toString()
String	toString(boolean withLogic)

Methods inherited from class network.aika.lattice.OrNode.OrActivation

getInputActivation, link

Methods inherited from class network.aika.lattice.NodeActivation

compareTo

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

BEGIN

public static int BEGIN

END

public static int END

ACTIVATION_ID_COMP

public static final Comparator<Activation> ACTIVATION_ID_COMP

MAX_SELF_REFERENCING_DEPTH

public static int MAX_SELF_REFERENCING_DEPTH

MAX_PREDECESSOR_DEPTH

public static int MAX_PREDECESSOR_DEPTH

DEBUG_OUTPUT

public static boolean DEBUG_OUTPUT

MIN_ACTIVATION

public static Activation MIN_ACTIVATION

MAX_ACTIVATION

public static Activation MAX_ACTIVATION

slots

public Map<Integer,Position> slots

sequence

public Integer sequence

upperBound

public double upperBound

lowerBound

public double lowerBound

avgState

public Activation.State avgState

searchStates

public List<Activation.AvgState> searchStates

rounds

public Activation.Rounds rounds

finalRounds

public Activation.Rounds finalRounds

ubQueued

public boolean ubQueued

markedHasCandidate

public long markedHasCandidate

currentStateV

public long currentStateV

currentStateChange

public Activation.StateChange currentStateChange

markedDirty

public long markedDirty

markedPredecessor

public long markedPredecessor

targetValue

public Double targetValue

inputValue

public Double inputValue

extension

public Writable extension

inputDecision

public SearchNode.Decision inputDecision

decision

public SearchNode.Decision decision

finalDecision

public SearchNode.Decision finalDecision

candidate

public Candidate candidate

markedAncDesc

public long markedAncDesc

blocked

public boolean blocked

Constructor Detail

Activation

public Activation(int id,
                  Document doc,
                  OrNode n)

Method Detail

getSlot

public Position getSlot(int slot)

setSlot

public void setSlot(int slot,
                    Position pos)

setSlots

public void setSlots(Map<Integer,Position> slots)

length

public Integer length()

setTargetValue

public void setTargetValue(Double targetValue)

getLabel

public String getLabel()

getType

public INeuron.Type getType()

getText

public String getText()

getINeuron

public INeuron getINeuron()

getNeuron

public Neuron getNeuron()

addLink

public void addLink(Linker.Direction dir,
                    Activation.Link l)

getLinkBySynapseId

public Activation.Link getLinkBySynapseId(int synapseId)

getInputLinksOrderedBySynapse

public SortedSet<Activation.Link> getInputLinksOrderedBySynapse()

getInputLinks

public Stream<Activation.Link> getInputLinks(boolean includePassive,
                                             boolean onlySelected)

getOutputLinks

public Stream<Activation.Link> getOutputLinks(boolean includePassive)

getInputLink

public Activation.Link getInputLink(Activation.Link l)

getInputLinksBySynapse

public Stream<Activation.Link> getInputLinksBySynapse(boolean includePassive,
                                                      Synapse syn)

getOutputLinksBySynapse

public Stream<Activation.Link> getOutputLinksBySynapse(boolean includePassive,
                                                       Synapse syn)

process

public double process(SearchNode sn,
                      int round,
                      long v)

computeValueAndWeight

public Activation.State computeValueAndWeight(int round)

isActiveable

public boolean isActiveable()

processBounds

public void processBounds()

computeBounds

public void computeBounds()

getFinalInputActivationLinks

public List<Activation.Link> getFinalInputActivationLinks()

getFinalOutputActivationLinks

public List<Activation.Link> getFinalOutputActivationLinks()

getConflicts

public Collection<Activation> getConflicts()

adjustSelectedNeuronInputs

public void adjustSelectedNeuronInputs(SearchNode.Decision d)

checkSelfReferencing

public boolean checkSelfReferencing(boolean onlySelected,
                                    int depth,
                                    long v)

setDecision

public void setDecision(SearchNode.Decision newDecision,
                        long v)

isFinalActivation

public boolean isFinalActivation()

getFinalState

public Activation.State getFinalState()

getSequence

public Integer getSequence()

markDirty

public void markDirty(long v)

markPredecessor

public void markPredecessor(long v,
                            int depth)

toString

public String toString()

Overrides:

toString in class Object

toString

public String toString(boolean withLogic)

slotsToString

public String slotsToString()

identityToString

public String identityToString()

linksToString

public String linksToString()

saveOldState

public void saveOldState(Map<Activation,Activation.StateChange> changes,
                         long v)

saveNewState

public void saveNewState()