static void DoTraining(BPNetwork target, FoodDrive foodDr)
{
DriveEquation trainer = ImplicitComponentInitializer.InitializeTrainer(DriveEquation.Factory, foodDr);
trainer.Commit();
List <ActivationCollection> data = new List <ActivationCollection>();
data.Add(ImplicitComponentInitializer.NewDataSet());
foreach (var i in foodDr.Input)
{
ImplicitComponentInitializer.AddRange(i.WORLD_OBJECT, 0, 1, .25);
data[0].Add(i);
}
Console.WriteLine("Performing Pre-Training (see the trace log for results)");
ImplicitComponentInitializer.Train(target, trainer, data, ImplicitComponentInitializer.TrainingTerminationConditions.BOTH, numTrials);
}
static void Main(string[] args)
{
//Initialize the task
Console.WriteLine("Initializing the Full Hello World Task");
int CorrectCounter = 0;
int NumberTrials = 20000;
Random rand = new Random();
World.LoggingLevel = TraceLevel.Off;
int progress = 0;
TextWriter orig = Console.Out;
StreamWriter sw = File.CreateText("HelloWorldFull.txt");
DimensionValuePair hi = World.NewDimensionValuePair("Salutation", "Hello");
DimensionValuePair bye = World.NewDimensionValuePair("Salutation", "Goodbye");
ExternalActionChunk sayHi = World.NewExternalActionChunk("Hello");
ExternalActionChunk sayBye = World.NewExternalActionChunk("Goodbye");
GoalChunk salute = World.NewGoalChunk("Salute");
GoalChunk bidFarewell = World.NewGoalChunk("Bid Farewell");
//Initialize the Agent
Agent John = World.NewAgent("John");
SimplifiedQBPNetwork net = AgentInitializer.InitializeImplicitDecisionNetwork(John, SimplifiedQBPNetwork.Factory);
net.Input.Add(salute, "goals");
net.Input.Add(bidFarewell, "goals");
net.Input.Add(hi);
net.Input.Add(bye);
net.Output.Add(sayHi);
net.Output.Add(sayBye);
net.Parameters.LEARNING_RATE = 1;
John.Commit(net);
John.ACS.Parameters.VARIABLE_BL_BETA = .5;
John.ACS.Parameters.VARIABLE_RER_BETA = .5;
John.ACS.Parameters.VARIABLE_IRL_BETA = 0;
John.ACS.Parameters.VARIABLE_FR_BETA = 0;
RefineableActionRule.GlobalParameters.SPECIALIZATION_THRESHOLD_1 = -.6;
RefineableActionRule.GlobalParameters.GENERALIZATION_THRESHOLD_1 = -.1;
RefineableActionRule.GlobalParameters.INFORMATION_GAIN_OPTION = RefineableActionRule.IGOptions.PERFECT;
AffiliationBelongingnessDrive ab = AgentInitializer.InitializeDrive(John, AffiliationBelongingnessDrive.Factory, rand.NextDouble(), (DeficitChangeProcessor)HelloWorldFull_DeficitChange);
DriveEquation abd = AgentInitializer.InitializeDriveComponent(ab, DriveEquation.Factory);
ab.Commit(abd);
John.Commit(ab);
AutonomyDrive aut = AgentInitializer.InitializeDrive(John, AutonomyDrive.Factory, rand.NextDouble(), (DeficitChangeProcessor)HelloWorldFull_DeficitChange);
DriveEquation autd =
AgentInitializer.InitializeDriveComponent(aut, DriveEquation.Factory);
aut.Commit(autd);
John.Commit(aut);
GoalSelectionModule gsm =
AgentInitializer.InitializeMetaCognitiveModule(John, GoalSelectionModule.Factory);
GoalSelectionEquation gse =
AgentInitializer.InitializeMetaCognitiveDecisionNetwork(gsm, GoalSelectionEquation.Factory);
gse.Input.Add(ab.GetDriveStrength());
gse.Input.Add(aut.GetDriveStrength());
GoalStructureUpdateActionChunk su = World.NewGoalStructureUpdateActionChunk();
GoalStructureUpdateActionChunk bu = World.NewGoalStructureUpdateActionChunk();
su.Add(GoalStructure.RecognizedActions.SET_RESET, salute);
bu.Add(GoalStructure.RecognizedActions.SET_RESET, bidFarewell);
gse.Output.Add(su);
gse.Output.Add(bu);
gsm.SetRelevance(su, ab, 1);
gsm.SetRelevance(bu, aut, 1);
gsm.Commit(gse);
John.Commit(gsm);
John.MS.Parameters.CURRENT_GOAL_ACTIVATION_OPTION =
MotivationalSubsystem.CurrentGoalActivationOptions.FULL;
//Run the task
Console.WriteLine("Running the Full Hello World Task");
Console.SetOut(sw);
SensoryInformation si;
ExternalActionChunk chosen;
for (int i = 0; i < NumberTrials; i++)
{
si = World.NewSensoryInformation(John);
si[AffiliationBelongingnessDrive.MetaInfoReservations.STIMULUS, typeof(AffiliationBelongingnessDrive).Name] = 1;
si[AutonomyDrive.MetaInfoReservations.STIMULUS, typeof(AutonomyDrive).Name] = 1;
//Randomly choose an input to perceive.
if (rand.NextDouble() < .5)
{
//Say "Hello"
si.Add(hi, John.Parameters.MAX_ACTIVATION);
si.Add(bye, John.Parameters.MIN_ACTIVATION);
}
else
{
//Say "Goodbye"
si.Add(hi, John.Parameters.MIN_ACTIVATION);
si.Add(bye, John.Parameters.MAX_ACTIVATION);
}
//Perceive the sensory information
John.Perceive(si);
//Choose an action
chosen = John.GetChosenExternalAction(si);
//Deliver appropriate feedback to the agent
if (chosen == sayHi)
{
//The agent said "Hello".
if (si[hi] == John.Parameters.MAX_ACTIVATION)
{
//The agent responded correctly
Trace.WriteLineIf(World.LoggingSwitch.TraceWarning, "John was correct");
//Record the agent's success.
CorrectCounter++;
//Give positive feedback.
John.ReceiveFeedback(si, 1.0);
}
else
{
//The agent responded incorrectly
Trace.WriteLineIf(World.LoggingSwitch.TraceWarning, "John was incorrect");
//Give negative feedback.
John.ReceiveFeedback(si, 0.0);
}
}
else
{
//The agent said "Goodbye".
if (si[bye] == John.Parameters.MAX_ACTIVATION)
{
//The agent responded correctly
Trace.WriteLineIf(World.LoggingSwitch.TraceWarning, "John was correct");
//Record the agent's success.
CorrectCounter++;
//Give positive feedback.
John.ReceiveFeedback(si, 1.0);
}
else
{
//The agent responded incorrectly
Trace.WriteLineIf(World.LoggingSwitch.TraceWarning, "John was incorrect");
//Give negative feedback.
John.ReceiveFeedback(si, 0.0);
}
}
Console.SetOut(orig);
progress = (int)(((double)(i + 1) / (double)NumberTrials) * 100);
Console.CursorLeft = 0;
Console.Write(progress + "% Complete..");
Console.SetOut(sw);
}
//Report Results
Console.WriteLine("Reporting Results for the Full Hello World Task");
Console.WriteLine("John got " + CorrectCounter + " correct out of " + NumberTrials + " trials (" +
(int)Math.Round(((double)CorrectCounter / (double)NumberTrials) * 100) + "%)");
Console.WriteLine("At the end of the task, John had learned the following rules:");
foreach (var i in John.GetInternals(Agent.InternalContainers.ACTION_RULES))
{
Console.WriteLine(i);
}
sw.Close();
Console.SetOut(orig);
Console.CursorLeft = 0;
Console.WriteLine("100% Complete..");
//Kill the agent to end the task
Console.WriteLine("Killing John to end the program");
John.Die();
Console.WriteLine("John is Dead");
Console.WriteLine("The Full Hello World Task has finished");
Console.WriteLine("The results have been saved to \"HelloWorldFull.txt\"");
Console.Write("Press any key to exit");
Console.ReadKey(true);
}
