public WeightedChancePair SelectRandomPair()
{
float totalWeight = 0;
//Find how much each pair weighs
for (int i = 0; i < weightedChancePairs.Count; ++i)
{
totalWeight += weightedChancePairs[i].chanceExpression(psycheEnv);
}
if (totalWeight == 0)
{
return(null);
}
//Select a random number
float randomNumber = Random.Range(0, totalWeight);
//Iteratively subtract the weights until the random number is greater, then select that pair
for (int i = 0; i < weightedChancePairs.Count; ++i)
{
WeightedChancePair pair = weightedChancePairs[i];
totalWeight -= pair.chanceExpression(psycheEnv);
if (totalWeight < randomNumber)
{
//Set the instance to have selected this pair
return(weightedChancePairs[i]);
}
}
return(null);
}
/// <summary>
/// Recursively search to find a motion that can be executed. Will also select an action plan if one has not been selected.
/// </summary>
/// <returns></returns>
///
public override Motion FindMotion()
{
if (selectedSubgoal == null)
{
WeightedChancePair pair = SelectRandomPair();
Motion motion = pair.motionReturnExpression();
return(motion);
//This may also select a subgoal, which will be used in future iterations
}
else
{
return(selectedSubgoal.FindMotion());
}
}
