void RunNextTrial()
{
int currentFinalIndex = (currentInitialTargetId + 1) % targets.Length;
if (currentInitialTargetId < targets.Length)
{
TrialMeasurements lastTrial = null;
if (blockMeasurements.trialsData.Count > 0)
{
lastTrial = blockMeasurements.trialsData[blockMeasurements.trialsData.Count - 1];
}
if (task == ExperimentTask.ReciprocalDragging)
{
currentTrial = new DragTestController(currentInitialTargetId, targets[currentInitialTargetId], targets[currentFinalIndex], this, cursor, lastTrial);
}
else
{
currentTrial = new TappingTrialController(currentInitialTargetId, targets[currentInitialTargetId], targets[currentFinalIndex], this, cursor, lastTrial);
}
currentTrial.StartTrial();
}
else
{
FinishBlockOfTrials();
}
}
public void FixedUpdate()
{
Time.timeScale = TimeScale;
if (!IsTrialRunning)
{
if (TrialCount < PopulationSize)
{
int index = TrialCount;
TrialController.StartTrial(leftRules[index], rightRules[index]);
IsTrialRunning = true;
}
else
{
using (var file = new StreamWriter(FilePath, true))
file.WriteLine(GenerationCount + "," + leftRules.Average(x => x.Fitness) + "," + leftRules.Max(x => x.Fitness) + "," + leftRules.Min(x => x.Fitness));
Debug.Log("BREEDING!");
leftRules = GeneticAlgorithm.BreedNewGeneration(leftRules, MutationChance);
rightRules = GeneticAlgorithm.BreedNewGeneration(rightRules, MutationChance);
Debug.Log("Finished Breeding!");
TrialCount = 0;
GenerationCount++;
if (GenerationCount >= GenerationLimit)
{
TimeScale = 0;
}
}
}
}