private void NextGame_Click(object sender, EventArgs e)
{
WindowOfGame wog = new WindowOfGame(playersForm, hra, wops);
wog.Show();
this.Close();
}
private static void OnTimedEvent(object source, ElapsedEventArgs e)
{
ticks++;
if (ticks == 2)
{
WindowOfGame.CreatingBorders();
for (int i = 0; i < players.Length; i++)
{
Thread.Sleep(20);
players[i].CreatePosition(new Random());
}
}
if (ticks > 2)
{
for (int i = 0; i < players.Length; i++)
{
if (!players[i].IsDead())
{
if (ticks % rotateRadius == 0)
{
if (players[i] is Human)
{
((Human)players[i]).SetFalseToTurning();
}
else
{
((PC)players[i]).ExecuteTurning();
}
}
players[i].Move();
}
}
WindowOfGame.Draw();
}
}
public bool CanIGoThere()
{
Vector v = SetFirstField();
Vector v1 = new Vector();
Vector v2 = new Vector();
Vector u = new Vector();
int i = 4;
u.x = positionAPCBig.x + i * (v.y - positionAPC.y); //prehozeny direction
u.y = positionAPCBig.y + i * (v.x - positionAPC.x); //prehozeny direction
v1 = FixIndexesForTurning(u);
i = 1;
u.x = positionAPCBig.x + i * (v.y - positionAPC.y); //prehozeny direction
u.y = positionAPCBig.y + i * (v.x - positionAPC.x); //prehozeny direction
v2 = FixIndexesForTurning(u);
WindowOfGame.Log("My values: " + positionAPCBig.x + ", " + positionAPCBig.y);
if (WindowOfGame.GetApcMapBig().GetFieldValue((int)v1.x, (int)v1.y) == 1 || WindowOfGame.GetApcMapBig().GetFieldValue((int)v2.x, (int)v2.y) == 1)
{
WindowOfGame.Log("false");
return(false);
}
return(true);
}
private void Start_Click(object sender, EventArgs e)
{
SetPlayers();
Game hra = new Game(players);
WindowOfGame wog = new WindowOfGame(players, hra, this);
wog.Show();
this.Hide();
}
private void SaveTrainingData(Neuron[] neurs, Output[] outs)
{
TrainingValues tv = new TrainingValues();
tv.y = new double[outs.Length];
for (int i = 0; i < outs.Length; i++)
{
tv.y[i] = outs[i].z;
}
tv.neurons = neurs;
tv.t = WindowOfGame.GetTrainingValues(tv.y);
DataSet.Add(tv);
}
private void FindNextStepAI()
{
MapAPC map = WindowOfGame.GetApcMap();
MapAPCBig mapBig = WindowOfGame.GetApcMapBig();
GetInputReady(map, mapBig);
so.SetSoftmaxOutput(neurons[0].W.Length, neurons);
/*
* pouze pokud chci trenovat neurnovou sit:
* TrainingCounter++;
* if (TrainingCounter%5 == 0)
* {
* TrainWs(so.GetDeltaWs());
* }*/
if (!CanIGoThereRunning)
{
CanIGoThereRunning = true;
WindowOfGame.Log("FindNextStepAI, can i go there?");
if (!CanIGoThere())
{
WindowOfGame.Log("FindNextStepAI, i cant go there");
if (!CanIGoToRight())
{
TurningState = 1;
}
else
{
TurningState = -1;
}
TurningCounter = 10;
}
else
{
switch (so.GetTheHighestOutput())
{
case 0: //nonturning, puvodne "hodne doleva"
TurningState = 0;
TurningCounter = 5;
break;
case 1: //nonturning, puvodne "stredne doleva"
TurningState = 0;
TurningCounter = 5;
break;
case 2: //short left
TurningState = -1;
TurningCounter = 4;
break;
case 3: //nonturning
TurningState = 0;
TurningCounter = 5;
break;
case 4: //short right
TurningState = 1;
TurningCounter = 4;
break;
case 5: //nonturning, puvodne "stredne doprava"
TurningState = 0;
TurningCounter = 5;
break;
case 6: //nonturning, puvodne "hodne doprava"
TurningState = 0;
TurningCounter = 5;
break;
}
}
}
recalculationRunning = false;
CanIGoThereRunning = false;
}
