/// <summary>
/// runs the main brain a few times after mutating it and returns its average score
/// </summary>
/// <param name="mutateMagnitude">The magnitude by which mutations can happen</param>
/// <param name="iterations">The number of times the snake plays the game before returning the average score.</param>
/// <param name="mutateNRR">Determines how much mutation magnitude distrubution conforms to a normal distribution.</param>
/// <returns>the average score</returns>
private double ModeTrainAI(double mutateMagnitude = .1, int mutateNRR = 4, int iterations = 100, int mutationChance = 5)
{
SnakeBrain.Mutate(mutateMagnitude, mutateNRR, mutationChance);
double averageScore = 0;
for (int i = 0; i < iterations; i++)
{
NewBoard(i);
while (Board1.Progress1Tick())
{
RunBrain();
}
averageScore += CalculateScore();
}
return(averageScore / iterations);
}
/// <summary>
/// runs the main brain a few times after mutating it and returns its average score
/// </summary>
/// <param name="mutateMagnitude">The magnitude by which mutations can happen</param>
/// <param name="iterations">The number of times the snake plays the game before returning the average score.</param>
/// <param name="mutateNRR">Determines how much mutation magnitude distrubution conforms to a normal distribution.</param>
/// <param name="randomly">Whether or not to use deterministic brain changes</param>
/// <param name="incrementor">if non-random then this must should increment by 1 each call</param>
/// <returns>the average score</returns>
private double ModeTrainAI(double mutateMagnitude = .1, int mutateNRR = 4, int iterations = 100, int nrOfMutations = 2, bool randomly = false, int incrementor = 0)
{
if (randomly)
{
SnakeBrain.Mutate(mutateMagnitude, mutateNRR, nrOfMutations);
}
double averageScore = 0;
for (int i = 0; i < iterations; i++)
{
NewBoard(i);
while (Board1.Progress1Tick())
{
RunBrain(Board1, SnakeBrain);
}
averageScore += CalculateScore(Board1);
}
return(averageScore / iterations);
}