public void MakeBrain()
{
var OpCodes = new List <OpCode.IOpCode>
{
new OpCode.Type0()
};
var Type0SVRule = new SVRule(OpCodes);
var StateSVRule = new SVRule(new List <OpCode.IOpCode>
{
new OpCode.State()
});
var Type0NeuronGene = new NeuronGene(0, 0, 255, Type0SVRule);
var StateNeuronGene = new NeuronGene(0, 0, 255, StateSVRule);
var DendriteDynamics = new DendriteDynamicsGene(0, 0, 0, StateSVRule, 0, null, 0, null, null, 0);
DendriteGene DendriteGene = new DendriteGene(0, BrainLobeType.Drive, DendriteGene.SpreadType.Flat, 0, new Vector2Int(1, 1), new Vector2Int(255, 255), new Vector2Int(255, 255), DendriteDynamics);
DendriteGene DendriteGeneNoDendrites = new DendriteGene(0, BrainLobeType.Perception, DendriteGene.SpreadType.Flat, 0, new Vector2Int(0, 0), new Vector2Int(1, 1), new Vector2Int(1, 1), DendriteDynamics);
// Destination lobe
var LobeGene1 = new LobeGene(BrainLobeID.Perception, new Vector2Int(1, 1), new Vector2Int(1, 1), DendriteGene, DendriteGene, Type0NeuronGene, 0, 0);
// Source lobe
var LobeGene2 = new LobeGene(BrainLobeID.Drive, new Vector2Int(1, 1), new Vector2Int(1, 1), DendriteGeneNoDendrites, DendriteGeneNoDendrites, StateNeuronGene, 0, 0);
Brain = new Brain();
DestLobe = LobeBuilder.BuildFromGene(LobeGene1, 1, 1);
SourceLobe = LobeBuilder.BuildFromGene(LobeGene2, 1, 1);
Brain.AddLobe(DestLobe);
Brain.AddLobe(SourceLobe);
DestLobe.SetUpDendrites(Brain);
}
public DendriteGene(int type, BrainLobeType sourceLobeIndex, SpreadType spread, int fanout, Vector2Int dendriteNumber, Vector2Int ltwRange, Vector2Int strengthRange, DendriteDynamicsGene dynamicsGene)
{
Type = type;
SourceLobeIndex = sourceLobeIndex;
Spread = spread;
Fanout = fanout;
DendriteNumber = dendriteNumber;
LTWRange = ltwRange;
StrengthRange = strengthRange;
Dynamics = dynamicsGene;
}
public IEnumerator LTWZeroToOne()
{
var LTWGainRate = 16;
var DynamicsGene = new DendriteDynamicsGene(LTWGainRate, 0, 0, null, 0, null, 0, null, null, 0);
DendriteGene DendriteGene = new DendriteGene(0, 0, DendriteGene.SpreadType.Flat, 0, new Vector2Int(0, 0), new Vector2Int(0, 0), new Vector2Int(1, 1), DynamicsGene);
TestDendrite Dendrite = new TestDendrite(0, 0, DendriteGene);
Dendrite.MockSTW(1);
// Process assumes it is being called in FixedUpdate
// i.e. 10 times a second
foreach (var i in Enumerable.Range(0, 5))
{
Dendrite.Process(null, false, false);
}
Assert.AreEqual(1, Mathf.RoundToInt(Dendrite.LTW));
yield return(null);
}
public IEnumerator GetValue()
{
var DynamicsGene = new DendriteDynamicsGene(1, 0, 0, null, 0, null, 0, null, null, 0);
DendriteGene DendriteGene = new DendriteGene(0, 0, DendriteGene.SpreadType.Flat, 0, new Vector2Int(0, 0), new Vector2Int(5, 5), new Vector2Int(1, 1), DynamicsGene);
TestDendrite Dendrite = new TestDendrite(0, 0, DendriteGene);
NeuronGene NeuronGene = new NeuronGene(0, 0, 0, null);
Lobe lobe = new Lobe(0, null, new Vector2Int(0, 0), new Vector2Int(5, 5), Enumerable.Range(0, 25).Select(n => new Neuron(n, NeuronGene)).ToList(), false, false);
lobe.FireNeuron(0);
Dendrite.SetSourceLobe(lobe);
Dendrite.MockSTW(1);
var DendriteValue = Dendrite.GetValue();
Assert.AreEqual(1, DendriteValue);
Dendrite.MockSTW(255);
DendriteValue = Dendrite.GetValue();
Assert.AreEqual(255, DendriteValue);
yield return(null);
}
public static List <DendriteGene> Interpret(RawGene gene)
{
List <DendriteGene> Genes = new List <DendriteGene>();
int[] Offsets = { 29, 116 };
for (int i = 0; i < Offsets.Length; i++)
{
var Offset = Offsets[i];
BrainLobeType SourceLobeIndex = (BrainLobeType)gene[Offset];
Vector2Int DendriteRange = new Vector2Int(gene[Offset + 1], gene[Offset + 2]);
DendriteGene.SpreadType Spread = (DendriteGene.SpreadType)gene[Offset + 3];
int Fanout = gene[Offset + 4];
Vector2Int LTWRange = new Vector2Int(gene[Offset + 5], gene[Offset + 6]);
Vector2Int StrengthRange = new Vector2Int(gene[Offset + 7], gene[Offset + 8]);
int LTWGainRate = gene[Offset + 12];
int STWGainRate = gene[Offset + 11];
int SusceptibilityRelaxRate = gene[Offset + 10];
RawGene SusceptRule = new RawGene(gene.GetRange(Offset + 39, 12).ToArray());
var SusceptibilitySVRule = SVRuleBuilder.Build(SVRuleInterpreter.Interpret(SusceptRule));
var StrengthGain = gene[Offset + 13];
RawGene StrengthRule = new RawGene(gene.GetRange(Offset + 14, 12).ToArray());
var StrengthSVRule = SVRuleBuilder.Build(SVRuleInterpreter.Interpret(StrengthRule));
var StrengthLoss = gene[Offset + 26];
StrengthRule = new RawGene(gene.GetRange(Offset + 27, 12).ToArray());
var StrengthLossSVRule = SVRuleBuilder.Build(SVRuleInterpreter.Interpret(StrengthRule));
var ReinforcementRule = new RawGene(gene.GetRange(Offset + 51, 12).ToArray());
var ReinforcementSVRule = SVRuleBuilder.Build(SVRuleInterpreter.Interpret(ReinforcementRule));
var MigrateWhen = gene[Offset + 9];
var DendriteDynamics = new DendriteDynamicsGene(LTWGainRate, STWGainRate, SusceptibilityRelaxRate, SusceptibilitySVRule, StrengthGain, StrengthSVRule, StrengthLoss, StrengthLossSVRule, ReinforcementSVRule, MigrateWhen);
Genes.Add(new DendriteGene(i, SourceLobeIndex, Spread, Fanout, DendriteRange, LTWRange, StrengthRange, DendriteDynamics));
}
return(Genes);
}
private DendriteGene MakeGene(int numDendrites)
{
var Dynamics = new DendriteDynamicsGene(1, 0, 0, null, 0, null, 0, null, null, 0);
return(new DendriteGene(0, 0, DendriteGene.SpreadType.Flat, 0, new Vector2Int(numDendrites, numDendrites), new Vector2Int(0, 0), new Vector2Int(0, 0), Dynamics));
}
