protected void setupVariables() { robots = new List <Robot>(); substrateDescription = new SubstrateDescription(substrateDescriptionFilename); GenomeVisualizerForm.substrate = substrateDescription; agentBrain = new AgentBrain(homogeneousTeam, numberRobots, substrateDescription, genome != null ? genome.Decode(null) : null, normalizeWeights, adaptableANN, modulatoryANN, multibrain, evolveSubstrate); //if(homogeneousTeam) //Console.WriteLine("inc:"+agentBrain.getBrain(0).InputNeuronCount); loadEnvironments(this); //agentsCollide=environment.agentsCollide; //agentsVisible=environment.agentsVisible; //Substrate sensor density initializeRobots(agentBrain, environment, headingNoise, sensorNoise, effectorNoise, null); setFitnessFunction(fitnessFunctionName); setBehavioralCharacterization(behaviorCharacterizationName); if (gridCollision) { collisionManager = new GridCollision(); } else { collisionManager = new StandardCollision(); } collisionManager.Initialize(environment, this, this.robots); timeSteps = 0; elapsed = 0; }
protected void setupVariables() { //Console.WriteLine("setupVariables"); robots = new List <Robot>(); // Schrum: more special handling: Don't want to overwrite substrate in visual mode if (!(fitnessFunction is FourTasksFitness)) { substrateDescription = new SubstrateDescription(substrateDescriptionFilename); } agentBrain = new AgentBrain(homogeneousTeam, numberRobots, substrateDescription, genome != null ? genome.Decode(null) : null, normalizeWeights, adaptableANN, modulatoryANN, multibrain, numBrains, evolveSubstrate, preferenceNeurons, forcedSituationalPolicyGeometry); //if(homogeneousTeam) //Console.WriteLine("inc:"+agentBrain.getBrain(0).InputNeuronCount); loadEnvironments(this); //agentsCollide=environment.agentsCollide; //agentsVisible=environment.agentsVisible; //Substrate sensor density initializeRobots(agentBrain, environment, headingNoise, sensorNoise, effectorNoise, null); // Schrum: more special handling: Don't want to overwrite fitness function in visual mode if (!(fitnessFunction is FourTasksFitness)) { setFitnessFunction(fitnessFunctionName); } else // sufficient if FourTasks is already loaded { //Console.WriteLine("setupVariables: environmentName = " + environmentName); ((FourTasksFitness)fitnessFunction).setExperiment(this); fitnessFunction.reset(); ((FourTasksFitness)fitnessFunction).setupFitness(FourTasksFitness.environmentID(environmentName)); } setBehavioralCharacterization(behaviorCharacterizationName); if (gridCollision) { collisionManager = new GridCollision(); } else { collisionManager = new StandardCollision(); } collisionManager.Initialize(environment, this, this.robots); timeSteps = 0; elapsed = 0; }
protected void setupVariables() { robots = new List<Robot>(); substrateDescription = new SubstrateDescription(substrateDescriptionFilename); agentBrain = new AgentBrain(homogeneousTeam, numberRobots, substrateDescription, genome != null ? genome.Decode(null) : null, normalizeWeights, adaptableANN, modulatoryANN, multibrain, evolveSubstrate, dirComm); //if(homogeneousTeam) //Console.WriteLine("inc:"+agentBrain.getBrain(0).InputNeuronCount); loadEnvironments(this); //agentsCollide=environment.agentsCollide; //agentsVisible=environment.agentsVisible; //Substrate sensor density initializeRobots(agentBrain, environment, headingNoise, sensorNoise, effectorNoise, null); setFitnessFunction(fitnessFunctionName); setBehavioralCharacterization(behaviorCharacterizationName); if (gridCollision) collisionManager = new GridCollision(); else collisionManager = new StandardCollision(); collisionManager.Initialize(environment, this, this.robots); timeSteps = 0; elapsed = 0; if (initialized) foreach (Prey p in environment.preys) { p.reset(); } preyCaught = 0; }