- Added TypeDescription field to neurons

Author: lukas.molzberger

core/src/main/java/network/aika/elements/neurons/Neuron.java

@@ -75,6 +75,8 @@ public abstract class Neuron<N extends Neuron, A extends Activation> implements
 
     private String label;
 
+    private String typeDescription;
+
     private Writable customData;
 
     protected Field bias = initBias();
@@ -429,6 +431,10 @@ public void write(DataOutput out) throws IOException {
         if(label != null)
             out.writeUTF(label);
 
+        out.writeBoolean(typeDescription != null);
+        if(typeDescription != null)
+            out.writeUTF(typeDescription);
+
         bias.write(out);
 
         for (Synapse s : getProvider().getInputSynapsesStoredAtOutputSide()) {
@@ -476,6 +482,9 @@ public void readFields(DataInput in, Model m) throws Exception {
         if(in.readBoolean())
             label = in.readUTF();
 
+        if(in.readBoolean())
+            typeDescription = in.readUTF();
+
         bias.readFields(in);
 
         while (in.readBoolean()) {
@@ -588,6 +597,16 @@ public String getLabel() {
         return label;
     }
 
+    public String getTypeDescription() {
+        return typeDescription;
+    }
+
+    public <R extends N> R setTypeDescription(String typeDescription) {
+        this.typeDescription = typeDescription;
+
+        return (R) this;
+    }
+
     public <R extends N> R  setLabel(String label) {
         this.label = label;
         return (R) this;

debugger/src/main/java/network/aika/debugger/neurons/properties/neurons/NeuronPropertyPanel.java

@@ -37,6 +37,9 @@ public NeuronPropertyPanel(E n, Activation ref) {
         addConstant("Type: ", "" + n.getType());
         addConstant("Label: ", n.getLabel());
 
+        if(n.getTypeDescription() != null)
+            addConstant("Type-Description: ", n.getTypeDescription());
+
         n.getBindingSignalSlots().forEach(bsSlot ->
                 addConstant("BS-Slot-Type: ", "" + bsSlot)
         );

text/src/main/java/network/aika/meta/entities/EntityModel.java

@@ -127,7 +127,8 @@ public void initTemplateNeurons() {
                 .setLabel(getAbstractLabel(PATTERN, label))
                 .setTargetNet(ENTITY_NET_TARGET)
                 .setBias(ENTITY_NET_TARGET)
-                .setPersistent(true);
+                .setPersistent(true)
+                .setTypeDescription("Abstract Entity Pattern Neuron");
 
         entityPattern.makeAbstract()
                 .setWeight(getDefaultInputCategorySynapseWeight(entityPattern.getType()))
@@ -148,7 +149,7 @@ public void initTemplateNeurons() {
                 10.0,
                 BINDING_NET_TARGET,
                 true
-        );
+        ).setTypeDescription("Abstract Phrase -> Entity BN");
 
         entityBN.makeAbstract()
                 .setWeight(getDefaultInputCategorySynapseWeight(entityBN.getType()))
@@ -165,7 +166,8 @@ public void initTemplateNeurons() {
 
         inhibitoryN = new InhibitoryNeuron(getModel(), TEMPLATE_MODEL)
                 .setLabel(getAbstractLabel(INHIBITORY, label))
-                .setPersistent(true);
+                .setPersistent(true)
+                .setTypeDescription("Abstract Phrase -> Entity InhibN");
 
         inhibitoryN.makeAbstract()
                 .setWeight(1.0);
@@ -180,7 +182,7 @@ public void initTemplateNeurons() {
                 getModel(),
                 "Topic (Entity)",
                 BINDING_NET_TARGET
-        );
+        ).setTypeDescription("Abstract Topic -> Entity BN");
 
         topicBN.makeAbstract()
                 .setWeight(getDefaultInputCategorySynapseWeight(topicBN.getType()))

text/src/main/java/network/aika/meta/sequences/PhraseModel.java

@@ -72,7 +72,8 @@ public void initStaticNeurons() {
                 .setLabel("Upper Case")
                 .setPersistent(true);
 
-        entityBN = addBindingNeuron(model, "Entity (Phrase)", 2.5);
+        entityBN = addBindingNeuron(model, "Entity (Phrase)", 2.5)
+                .setTypeDescription("Abstract Entity -> Phrase BN");
 
         entityBN.makeAbstract()
                 .setWeight(getDefaultInputCategorySynapseWeight(entityBN.getType()))
@@ -91,8 +92,12 @@ public void initOuterSynapses() {
 
     @Override
     protected void initTemplateBindingNeurons() {
-        subPhraseBN = createSubPhraseBindingNeuron();
-        primaryBN = createPrimaryBindingNeuron();
+        subPhraseBN = createSubPhraseBindingNeuron()
+                .setTypeDescription("Abstract Sub-Phrase BN");
+
+        primaryBN = createPrimaryBindingNeuron()
+                .setTypeDescription("Abstract Primary Phrase BN");
+
 
         expandContinueBindingNeurons(
                 1,

text/src/main/java/network/aika/meta/topics/TopicModel.java

@@ -143,7 +143,8 @@ public void initTemplateNeurons() {
                 .setLabel("Abstract Topic")
                 .setTargetNet(TOPIC_NET_TARGET)
                 .setBias(TOPIC_NET_TARGET)
-                .setPersistent(true);
+                .setPersistent(true)
+                .setTypeDescription("Abstract Topic PN");
 
         topicPatternN.makeAbstract()
                 .setWeight(getDefaultInputCategorySynapseWeight(topicPatternN.getType()))
@@ -154,7 +155,8 @@ public void initTemplateNeurons() {
                 model,
                 "Abstract Topic",
                 BINDING_NET_TARGET
-        );
+        )
+                .setTypeDescription("Abstract Entity -> Topic BN");
 
         topicBN.makeAbstract()
                 .setWeight(getDefaultInputCategorySynapseWeight(topicBN.getType()))
@@ -171,7 +173,8 @@ public void initTemplateNeurons() {
 
         inhibitoryN = new InhibitoryNeuron(getModel(), TEMPLATE_MODEL)
                 .setLabel(getAbstractLabel(INHIBITORY, label))
-                .setPersistent(true);
+                .setPersistent(true)
+                .setTypeDescription("Abstract Entity -> Topic InhibN");
 
         inhibitoryN.makeAbstract()
                 .setWeight(1.0);