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 NeuronGene(int threshold, int restState, int leakage, SVRule svRule)
{
Threshold = threshold;
RestState = restState;
Leakage = leakage;
SVRule = svRule;
}
public IEnumerator MixedOperandLengths()
{
var SV = new SVRule(new List <IOpCode> {
new ThirtyTwo(), new Decr(), new Plus(), new Zero()
});
Assert.AreEqual(31, SV.Evaluate(new SVDataPacket()));
yield return(null);
}
public IEnumerator BasicTest()
{
var SV = new SVRule(new List <IOpCode> {
new ThirtyTwo(), new Plus(), new Zero()
});
Assert.AreEqual(32, SV.Evaluate(new SVDataPacket()));
yield return(null);
}
public void CreateNeuron()
{
var OpCodes = new List <OpCode.IOpCode>
{
new OpCode.State()
};
var SVRule = new SVRule(OpCodes);
var NeuronGene = new NeuronGene(100, 0, 255, SVRule);
Neuron = new Neuron(0, NeuronGene);
}
public DendriteDynamicsGene(int lTWGainRate, int stwGainRate, int susceptibilityRelaxRate, SVRule susceptibilitySVRule, int strengthGain, SVRule strengthGainSVRule, int strengthLoss, SVRule strengthLossSVRule, SVRule reinforcementRule, int migrateWhen)
{
LTWGainRate = lTWGainRate;
STWGainRate = stwGainRate;
SusceptibilityRelaxRate = susceptibilityRelaxRate;
SusceptibilitySVRule = susceptibilitySVRule;
StrengthGain = strengthGain;
StrengthGainSVRule = strengthGainSVRule;
StrengthLoss = strengthLoss;
StrengthLossSVRule = strengthLossSVRule;
ReinforcementRule = reinforcementRule;
MigrateWhen = migrateWhen;
}
public IEnumerator FailTrue()
{
var SV = new SVRule(new List <IOpCode>
{
new Output(),
new True(),
new Suscept(),
new MoveTowards(),
new TwoFiveFive(),
new SixtyFour()
});
var DataPacket = new SVDataPacket
{
NeuronOutput = 0,
Susceptibility = 1
};
var Result = SV.Evaluate(DataPacket);
Assert.AreEqual(0, Mathf.RoundToInt(Result));
yield return(null);
}