// FMT 15/06/2017
private double FixedRuleToGoTo(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to go ahead
return(((currentInput.Contains(inputFoodAhead, CurrentAgent.Parameters.MAX_ACTIVATION)) ||
(currentInput.Contains(inputLeafletJewelAhead, CurrentAgent.Parameters.MAX_ACTIVATION)) ||
(currentInput.Contains(inputJewelAhead, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleFuelLow(ActivationCollection currentInput, Rule target)
{
//// Here we will make the logic to go to food
//if ((currentInput.Contains (inputWallCreatureAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
// (currentInput.Contains (inputFoodAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
// (currentInput.Contains (inputJewelAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
// (currentInput.Contains (inputJewelInVision, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
// (currentInput.Contains (inputFuelLow, CurrentAgent.Parameters.MAX_ACTIVATION)) &&
// //(getJewelRemainingTotal () != jewelGoal)) {
// (!exchangeJewels)) {
// return 1.0;
//} else {
// return 0.0;
//}
// Here we will make the logic to go to food
if ((currentInput.Contains(inputWallCreatureAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputFoodAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputJewelAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(fuelLow) &&
(!exchangeJewels))
{
//Console.WriteLine ("Fixed Rule Support Fuel Low");
return(1.0);
}
else
{
return(0.0);
}
}
private double FixedRuleToAvoidCollisionWall(ActivationCollection currentInput, Rule target)
{
// See partial match threshold to verify what are the rules available for action selection
return(((currentInput.Contains(inputCloseObject, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputFoodAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputLeafletJewelAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputJewelAhead, CurrentAgent.Parameters.MIN_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToEatFood(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to go ahead
if ((currentInput.Contains(inputWallCreatureAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputFoodAhead, CurrentAgent.Parameters.MAX_ACTIVATION)) &&
(currentInput.Contains(inputJewelAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputJewelInVision, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(getJewelRemainingTotal() != jewelGoal))
{
return(1.0);
}
else
{
return(0.0);
}
}
private double FixedRuleToWander(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to wander - check for low activation
// in all inputs.
if (currentInput.Contains(inputWallAhead, MIN_ACT_VAL) &&
currentInput.Contains(inputJewelAhead, MIN_ACT_VAL) &&
currentInput.Contains(inputFoodAhead, MIN_ACT_VAL) &&
currentInput.Contains(inputJewelAway, MIN_ACT_VAL) &&
currentInput.Contains(inputFoodAway, MIN_ACT_VAL))
{
return(1.0);
}
else
{
return(0.0);
}
}
/// <summary>
/// The training equation that is used to train the BP network in the bottom level of the NACS
/// </summary>
/// <param name="input"></param>
/// <param name="output"></param>
static void trainerEQ(ActivationCollection input, ActivationCollection output)
{
//If the input is the "lives in water" property, the activations for each chunk are as follows:
if (input.Contains(World.GetDimensionValuePair("lives in", "water"), 1))
{
output[World.GetDeclarativeChunk("Tuna")] = 1; //Tunas and whales live in water
output[World.GetDeclarativeChunk("Whale")] = 1;
output[World.GetDeclarativeChunk("Bear")] = .5; //Bears don't exactly live in water, but they do spend some time in it
}
//If the input is the "eats fish" property, the activations for each chunk are as follows:
else if (input.Contains(World.GetDimensionValuePair("eats", "fish"), 1))
{
output[World.GetDeclarativeChunk("Tuna")] = .2; //Tuna aren't really known to eat other fish (although they may eat smaller fish)
output[World.GetDeclarativeChunk("Whale")] = .75; //Whales definitely eat other fish (although not exclusively)
output[World.GetDeclarativeChunk("Bear")] = 1; //Everyone knows bears love salmon!
}
}
private double FixedRuleToGoToJewel(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to go ahead
if ((currentInput.Contains(inputWallCreatureAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputFoodAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputJewelAhead, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(currentInput.Contains(inputJewelInVision, CurrentAgent.Parameters.MAX_ACTIVATION)) &&
(currentInput.Contains(inputFuelLow, CurrentAgent.Parameters.MIN_ACTIVATION)) &&
(isDesiredJewel(currentJewel.Material.Color)) &&
(getJewelRemainingTotal() != jewelGoal))
{
// (!exchangeJewels)) {
return(1.0);
}
else
{
return(0.0);
}
}
private double FixedRuleToSackJewel(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to sack jewel
return(((currentInput.Contains(inputJewelAhead, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToEatFood(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to eat food
return(((currentInput.Contains(inputFoodAhead, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToGoToClosestFood(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to go to food
return(((currentInput.Contains(inputDistantFood, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToSackItItem(ActivationCollection currentInput, Rule target)
{
// See partial match threshold to verify what are the rules available for action selection
return(((currentInput.Contains(inputSackItItem, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
public double RuleSupport(ActivationCollection currentInput, Rule target = null)
{
return(((currentInput.Contains(sayCooperate, 1.0) && target.OutputChunk == wmuacC) ||
(currentInput.Contains(sayDefect, 1.0) && target.OutputChunk == wmuacD)) ? 1.0 : 0.0);
}
public bool QNetEligibility(ActivationCollection currentInput = null, ClarionComponent target = null)
{
return((currentInput.Contains(sayWhat, 1.0)) ? true : false);
}
private double FixedRuleToGoToFood(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to eat food
return(((currentInput.Contains(inputFoodAway, FOOD_AWAY_ACT_VAL))) ? 1.0 : 0.0);
}
private double FixedRuleToStop(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to hide thing
return(((currentInput.Contains(inputLeafletComplete, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToHide(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to hide thing
return(((currentInput.Contains(inputCloseObject, CurrentAgent.Parameters.MAX_ACTIVATION)) &&
(currentInput.Contains(inputJewelHide, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToGoToDeliverySpot(ActivationCollection currentInput, Rule target)
{
// Check if all jewels collected.
return(((currentInput.Contains(inputAllJewelsCollected, ALL_JEWELS_COLLECTED_ACT_VAL))) ? 1.0 : 0.0);
}
private double FixedRuleToDeliver(ActivationCollection currentInput, Rule target)
{
return(((currentInput.Contains(inputCreatureCanDeliver, CREATURE_CAN_DELIVER_ACT_VAL))) ? 1.0 : 0.0);
}
private double FixedRuleToDeliverLeaflet(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to deliver a leaflet
return(((currentInput.Contains(inputDeliverLeaflet, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToGoAhead(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to go ahead
return(((currentInput.Contains(inputNeedJewel, CurrentAgent.Parameters.MIN_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToGoToJewel(ActivationCollection currentInput, Rule target)
{
// Here we will make the logic to collect a jewel
return(((currentInput.Contains(inputJewelAway, JEWEL_AWAY_ACT_VAL))) ? 1.0 : 0.0);
}
private double FixedRuleToAvoidCollisionWall(ActivationCollection currentInput, Rule target)
{
// See partial match threshold to verify what are the rules available for action selection
return(((currentInput.Contains(inputWallCreatureAhead, CurrentAgent.Parameters.MAX_ACTIVATION))) ? 1.0 : 0.0);
}
private double FixedRuleToAvoidCollisionWall(ActivationCollection currentInput, Rule target)
{
// See partial match threshold to verify what are the rules available for action selection
return(((currentInput.Contains(inputWallAhead, WALL_AHEAD_ACT_VAL))) ? 1.0 : 0.0);
}
