public void VerifyBootstrappedStateTest()
{
const string parentDirectory =
"F:/User Data/Jonathan/Documents/school/Jonathan/Graduate/PhD/Development/C# NEAT/SharpNoveltyNeat/SharpNeatConsole/bin/Debug/";
const string agentGenomeFile = "ViableSeedGenomes.xml";
const string baseBitmapFilename = "AgentTrajectory";
const int mazeHeight = 20;
const int mazeWidth = 20;
const int scaleMultiplier = 16;
const int maxTimesteps = 400;
const int minSuccessDistance = 5;
// Setup stuff for the navigators
List<NeatGenome> agentGenomes;
NeatGenomeDecoder agentGenomeDecoder = new NeatGenomeDecoder(NetworkActivationScheme.CreateAcyclicScheme());
NeatGenomeFactory agentGenomeFactory = new NeatGenomeFactory(10, 2);
// Create new minimal maze (no barriers)
MazeStructure mazeStructure = new MazeDecoder(mazeHeight, mazeWidth, scaleMultiplier).Decode(
new MazeGenomeFactory(null, null, null).CreateGenome(0));
// Create behavior characterization factory
IBehaviorCharacterizationFactory behaviorCharacterizationFactory =
new TrajectoryBehaviorCharacterizationFactory(null);
// Create evaluator
MazeNavigatorMCSEvaluator mazeNavigatorEvaluator = new MazeNavigatorMCSEvaluator(maxTimesteps,
minSuccessDistance, behaviorCharacterizationFactory, 1);
// Set maze within evaluator
mazeNavigatorEvaluator.UpdateEvaluatorPhenotypes(new List<MazeStructure> {mazeStructure});
// Read in agents
using (XmlReader xr = XmlReader.Create(parentDirectory + agentGenomeFile))
{
agentGenomes = NeatGenomeXmlIO.ReadCompleteGenomeList(xr, false, agentGenomeFactory);
}
// Decode agent genomes to phenotype and run simulation
for (int i = 0; i < agentGenomes.Count; i++)
{
// Decode navigator genome
IBlackBox agentPhenome = agentGenomeDecoder.Decode(agentGenomes[i]);
// Run simulation
BehaviorInfo behaviorInfo = mazeNavigatorEvaluator.Evaluate(agentPhenome, 0, false, null, null);
// Print the navigator trajectory through the maze
DomainTestUtils.PrintMazeAndTrajectory(mazeStructure, behaviorInfo.Behaviors,
string.Format("{0}_{1}.bmp", baseBitmapFilename, i));
}
}
