public override STATUS Execute()
{
Debug.Log("[ProbabilityBT]");
STATUS finalStatus;
// This means that in the previous execution the choosen node
// returned RUNNING
if(mp_CurrentNode != null)
{
finalStatus = mp_CurrentNode.Execute();
if(finalStatus != STATUS.RUNNING)
mp_CurrentNode = null;
return finalStatus;
}
Init();
float randomWeight = Random.Range(0f, mf_TotalWeigth);
float weightSum = 0f;
foreach(KeyValuePair<BehaviorTreeNode, float> weightTuple in md_WeightList)
{
weightSum += weightTuple.Value;
if(randomWeight <= weightSum)
{
mp_CurrentNode = weightTuple.Key;
finalStatus = mp_CurrentNode.Execute();
if(finalStatus != STATUS.RUNNING)
mp_CurrentNode = null;
return finalStatus;
}
}
return STATUS.ERROR;
}
public override STATUS Execute()
{
Debug.Log("[ProbabilityBT]");
STATUS finalStatus;
// This means that in the previous execution the choosen node
// returned RUNNING
if (mp_CurrentNode != null)
{
finalStatus = mp_CurrentNode.Execute();
if (finalStatus != STATUS.RUNNING)
{
mp_CurrentNode = null;
}
return(finalStatus);
}
Init();
float randomWeight = Random.Range(0f, mf_TotalWeigth);
float weightSum = 0f;
foreach (KeyValuePair <BehaviorTreeNode, float> weightTuple in md_WeightList)
{
weightSum += weightTuple.Value;
if (randomWeight <= weightSum)
{
mp_CurrentNode = weightTuple.Key;
finalStatus = mp_CurrentNode.Execute();
if (finalStatus != STATUS.RUNNING)
{
mp_CurrentNode = null;
}
return(finalStatus);
}
}
return(STATUS.ERROR);
}
