private void buttonDouble_Click(object sender, EventArgs e)
{
watch.Stop();
GameStateTurnAction gsta = new GameStateTurnAction(currentGameState.Clone(), watch.ElapsedMilliseconds, TurnAction.Double);
turns.Add(gsta);
textBoxLog.Text += "Turn action added" + " " + watch.ElapsedMilliseconds + "ms." + Environment.NewLine;
textBoxLog.SelectionStart = textBoxLog.Text.Length;
textBoxLog.ScrollToCaret();
currentGameState.Double();
Render();
this.Refresh();
DoubleResponseHint hint = gnubg.DoubleResponseHint(currentGameState);
Thread.Sleep(thinker.TimeOnDoubleOffer(currentGameState, hint));
if (hint.Response == DoubleResponse.Pass)
{
status = GameStatus.GameOver;
return;
}
if (hint.Response == DoubleResponse.Take)
{
currentGameState.Take();
}
UpdateControls();
}
public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
// Parameter Values
// Mean 2000 ms
// Minimum 1000 ms
// Maximum 20000 ms
// Deviation 2.0 (95.4% are within 5000 ms from mean)
return((int)(coefficient * Gaussian.Next(2000, 1000, 20000, 2000, 2.0)));
}
public override DoubleResponseHint DoubleResponseHint(GameState gamestate)
{
Stopwatch sw = Stopwatch.StartNew();
DoubleResponseHint hint = gnubg.DoubleResponseHint(gamestate);
Console.WriteLine("[DoubleResponse Hint] " + sw.ElapsedMilliseconds + "ms.");
return(hint);
}
// Where's the randomness? Possibilities:
// Category the actions and pick one randomly from the cat's set of actions (or approximate by some probability distribution etc.)
// Sort a list from best to worst distances and pick randomly from that list (top N candidates - uniform random or normal)
public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
Vector v = ToDoubleInput(gamestate, hint);
foreach (KeyValuePair <GameStateAction, Vector> gv in doubles)
{
gv.Value.Distance = Vector.ComputeDistance(gv.Value, v);
}
doubles.Sort(Compare);
return((int)doubles[0].Key.Time);
}
public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
int total = 0;
if (random.Next(10) == 0)
{
total += random.Next(8000);
}
if (random.Next(5) == 0)
{
total += random.Next(4000);
}
return(random.Next(500, 1500));
}
public NeuralThinker(IEnumerable <GameStateMoveAction> moves,
IEnumerable <GameStateDoubleAction> doubles,
IEnumerable <GameStateResignAction> resigns,
IEnumerable <GameStateTurnAction> turns)
{
GnuBgHintModule gnubg = new GnuBgHintModule(@"gnubg/ipoint.exe");
gnubg.Initialize();
foreach (GameStateMoveAction gsma in moves)
{
List <PlayHint> hints = gnubg.PlayHint(gsma.Original, 500);
this.moves.Add(new KeyValuePair <GameStateAction, Vector>(gsma, ToMoveInput(gsma, hints)));
}
foreach (GameStateDoubleAction gsda in doubles)
{
DoubleResponseHint hint = gnubg.DoubleResponseHint(gsda.GameState);
//Vector vector = new Vector(hint.TakeEq, hint.PassEq, System.Math.Abs(hint.PassEq - hint.TakeEq));
this.doubles.Add(new KeyValuePair <GameStateAction, Vector>(gsda, ToDoubleInput(gsda.GameState, hint)));
}
foreach (GameStateResignAction gsra in resigns)
{
ResignResponseHint hint = gnubg.ResignResponseHint(gsra.GameState);
Vector vector = new Vector();
this.resigns.Add(new KeyValuePair <GameStateAction, Vector>(gsra, vector));
}
foreach (GameStateTurnAction gsta in turns)
{
DoubleHint hint = null;
if (gsta.GameState.CanDouble())
{
hint = gnubg.DoubleHint(gsta.GameState);
}
this.turns.Add(new KeyValuePair <GameStateAction, Vector>(gsta, ToTurnInput(gsta.GameState, hint)));
}
random.Next();
random.Next();
}
public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
return(random.Next(2000, 4000));
}
public abstract int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint);
public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
return(0);
}
private Vector ToDoubleInput(GameState gs, DoubleResponseHint hint)
{
return(new Vector(hint.TakeEq, hint.PassEq, System.Math.Abs(hint.PassEq - hint.TakeEq)));
}
