public double[][] getSensorReadings()
{
IAgent a = _world.Agents.First();
double[][] readings = new double[numlocations][];
for (int i = 0; i < readings.Length; i++)
readings[i] = new double[3];
int j = 0;
foreach (int[] location in locations)
{
a.X = location[0];
a.Y = location[1];
a.Orientation = orientations[j];
a.Velocity = velocities[j];
readings[j] = _world.calculateForagingAgentSensors(a);
j++;
}
return readings;
}
void writeDiversityStats(bool before)
{
if (_generations > 0)
{
_learningEnabled = false;
DiversityAnalyzer analyser = new DiversityAnalyzer(_world);
double[][] readings = analyser.getSensorReadings();
string diverseFile = before ? DiversityFile.Replace(".csv", "_before.csv") : DiversityFile.Replace(".csv", "_after.csv");
using (TextWriter writer = new StreamWriter(diverseFile, true))
{
List <double> orientationVariances = new List <double>();
List <double> velocityVariances = new List <double>();
foreach (double[] reading in readings)
{
var variances = analyser.getResponseVariance(reading);
orientationVariances.Add(variances[0]);
velocityVariances.Add(variances[1]);
}
writer.WriteLine("{0},{1},{2}", _generations, orientationVariances.Average(), velocityVariances.Average());
}
_world.Reset();
_learningEnabled = true;
}
}