//---------------------------------------------------------
void Start()
{
netWorkInit = GetComponent <NetworkInit>();
learnManager = GetComponent <LearnManager>();
storeManager = GetComponent <StoreManager>();
sensorFields = new List <Field>();
hiddenFields = new List <Field>();
outputFields = new List <Field>();
int inputFieldNumb = netWorkInit.networkStructure[0];
edgeLength = Mathf.Sqrt(inputFieldNumb);
edgeWidth = edgeLength;
gridWidth = 1f;
xOffset = gridWidth / 2f;
Vector3 camPosition = new Vector3(edgeWidth * gridWidth * 1.3f, edgeLength * gridWidth * 1.5f, -edgeLength * gridWidth / 2f + 1f);
cam.transform.position = camPosition;
Vector3 camRotation = new Vector3(90, 0, 0);
cam.transform.rotation = Quaternion.Euler(camRotation);
}
static void compute(List <Agent> agents, LearnManager lm)
{
var home = agents[0].Home;
for (int tick = 0; true; tick++)
{
Thread.Sleep(compute_fps);
while (computePause)
{
Thread.Sleep(1);
}
try
{
for (int i = agents.Count - 1; i >= 0; i--)
{
agents[i].PreDo();
if (agents[i].Dead)
{
agents[i] = ((MyAgent)agents[i]).BornNew(home);
//agents.RemoveAt(i);
}
else
{
agents[i].Do();
}
}
}
catch (Exception ex) { Console.WriteLine(ex); }
}
}
public static void Go(Field field, LearnManager lm, List <Agent> agents)
{
Console.WriteLine("START");
var ctrl = new FieldControl((IFieldWithCells)field);
var form = new Form();
form.Controls.Add(ctrl);
ctrl.Location = new System.Drawing.Point(10, 10);
form.Size = new System.Drawing.Size(ctrl.Width + 40, ctrl.Height + 60);
form.KeyPreview = true;
form.KeyUp += (s, e) =>
{
if (e.KeyCode == Keys.Right)
{
compute_fps = Math.Max(0, compute_fps - 10);
}
else if (e.KeyCode == Keys.Left)
{
compute_fps = Math.Min(300, compute_fps + 10);
}
else if (e.KeyCode == Keys.Space)
{
computePause = !computePause;
}
form.Text = $"{nameof(compute_fps)} = {1000 / Math.Max(double.Epsilon, compute_fps)}";
};
form.Text = $"{nameof(compute_fps)} = {1000 / Math.Max(double.Epsilon, compute_fps)}";
engine(agents, form, lm);
Application.Run(form);
}
public override void OnDies(LearnManager lm, Agent baseOfMutation)
{
var tracker = (ITrackHistory)baseOfMutation;
double fit = baseOfMutation.GetFitness();
var list = tracker.History.Buffer;
for (int i = 0, n = tracker.History.Length; i < n; i++)
{
var correct = LearnManager.GetCorrect(list[i].Value, lm.GetMeanRatioNormalized(fit));
TR.TrainOne(list[i].Position, new double[] { correct }, learningRate: 0.1, momentum: 0);
}
tracker.CleanHistory();
}
public override Genome OnBirth(LearnManager lm, Agent parent)
{
Genome re;
//var lma = (MyLearnManager)lm;
if (U.Rand() > MUTATE_RATE)
{
re = lm.GetWagedRandomGenome();
}
else
{
re = new MyGenome();
}
return(re);
}
//---------------------------------------------
void Start()
{
patternArchiveList = new List <Archive>();
// streamingAssetsPath = Application.streamingAssetsPath + "/";
streamingAssetsPath = "http://jojo-studio.de/Projekte/NeuralNetwork/StreamingAssets/";
netWorkInit = GetComponent <NetworkInit>();
sensorField = GetComponent <SensorField>();
learnManager = GetComponent <LearnManager>();
StartCoroutine(LoadNetworkFromWeb());
///StartCoroutine(LoadPatternArchive("ExercisePattern"));
//StartCoroutine(LoadPatternArchive("TestPattern"));
StartCoroutine(WaitForLoadingFiles());
}
static void engine(List <Agent> agents, Form f, LearnManager lm)
{
new Thread(computeMy).Start();
new Thread(drawMy).Start();
new Thread(reportMy).Start();
void computeMy()
{
compute(agents, lm);
}
void drawMy()
{
draw(f);
}
void reportMy()
{
report(agents, lm);
}
}
static void report(List <Agent> agents, LearnManager lm)
{
string str = "";
//var toplist = new ModuloList<MyGenom>(10);
int global_max = int.MinValue;
while (true)
{
Thread.Sleep(300);
while (computePause)
{
Thread.Sleep(1);
}
int max_on_cycle = (int)(1.0 / lm.GetMaxRatio(1));
if (max_on_cycle > global_max)
{
global_max = max_on_cycle;
//toplist.SetNext(lm.GetGenoms.Max(z => z.)
}
if (lm.DeathCount < lastDeath)
{
}
print($"Death count: {lm.DeathCount}");
print($"Average live time: {lm.GetAverage()}");
print($"Max live time: {max_on_cycle}");
print($"Global max live time: {global_max}");
print($"");
Console.WriteLine(str); str = "";
}
void print(string s)
{
str += s + '\n';
}
}
//-----------------------------------------------------
private void Start()
{
//Button btn = button.GetComponent<Button>();
// btn.onClick.AddListener(NewNetwork);
networkStructure = new List <int> {
400, 20, 10
};
sensorField = GetComponent <SensorField>();
learnManager = GetComponent <LearnManager>();
storeManager = GetComponent <StoreManager>();
Result zero = new Result();
zero.iD = 0;
zero.name = "Null";
zero.outputConfiguration = new List <float>()
{
1, 0, 0, 0, 0, 0, 0, 0, 0, 0
};
// zero.outputConfiguration = new List<float>() { 0 , 0, 0, 0, 0};
Result one = new Result();
one.iD = 1;
one.name = "Eins";
one.outputConfiguration = new List <float>()
{
0, 1, 0, 0, 0, 0, 0, 0, 0, 0
};
//one.outputConfiguration = new List<float>() { 1 , 0, 0, 0, 0};
Result two = new Result();
two.iD = 2;
two.name = "Zwei";
two.outputConfiguration = new List <float>()
{
0, 0, 1, 0, 0, 0, 0, 0, 0, 0
};
// two.outputConfiguration = new List<float>() { 0, 1, 0, 0, 0};
Result three = new Result();
three.iD = 3;
three.name = "Drei";
three.outputConfiguration = new List <float>()
{
0, 0, 0, 1, 0, 0, 0, 0, 0, 0
};
//three.outputConfiguration = new List<float>() { 0 , 0, 1, 0, 0};
Result four = new Result();
four.iD = 4;
four.name = "Vier";
four.outputConfiguration = new List <float>()
{
0, 0, 0, 0, 1, 0, 0, 0, 0, 0
};
// four.outputConfiguration = new List<float>() { 0 , 0, 0, 1, 0};
Result five = new Result();
five.iD = 5;
five.name = "Fünf";
five.outputConfiguration = new List <float>()
{
0, 0, 0, 0, 0, 1, 0, 0, 0, 0
};
//five.outputConfiguration = new List<float>() { 0 , 0, 0, 0, 1};
Result six = new Result();
six.iD = 6;
six.name = "Sechs";
six.outputConfiguration = new List <float>()
{
0, 0, 0, 0, 0, 0, 1, 0, 0, 0
};
//six.outputConfiguration = new List<float>() { 1 , 1, 0, 0, 0};
Result seven = new Result();
seven.iD = 7;
seven.name = "Sieben";
seven.outputConfiguration = new List <float>()
{
0, 0, 0, 0, 0, 0, 0, 1, 0, 0
};
//seven.outputConfiguration = new List<float>() { 1 , 0, 1, 0, 0};
Result eight = new Result();
eight.iD = 8;
eight.name = "Acht";
eight.outputConfiguration = new List <float>()
{
0, 0, 0, 0, 0, 0, 0, 0, 1, 0
};
//eight.outputConfiguration = new List<float>() { 1 , 0, 0, 1, 0};
Result nine = new Result();
nine.iD = 9;
nine.name = "Neun";
nine.outputConfiguration = new List <float>()
{
0, 0, 0, 0, 0, 0, 0, 0, 0, 1
};
//nine.outputConfiguration = new List<float>() {1, 0, 0, 0, 1};
expectedResults = new List <Result>()
{
zero, one, two, three, four, five, six, seven, eight, nine
};
}
public override void OnDies(LearnManager lm, Agent baseOfMutation) /*EMPTY*/ }
public abstract Genome OnBirth(LearnManager lm, Agent parent);
public abstract void OnDies(LearnManager lm, Agent baseOfMutation);
