public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
return 0;
}
public abstract int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint);
public override int TimeOnDoubleOffer(GameState gamestate, DoubleResponseHint hint)
{
return random.Next(2000, 4000);
}
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));
}
private Vector ToDoubleInput(GameState gs, DoubleResponseHint hint)
{
return new Vector(hint.TakeEq, hint.PassEq, System.Math.Abs(hint.PassEq - hint.TakeEq));
}
// 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);
}
