public void ExecutePlan(Queue <AIAction> newActionPlan, AIGoal goal)
{
if (currentAction != null)
{
stateMachine.Stop();
stateMachine.Activate(); // TODO.. stop activate should be simpler
}
currentGoal = goal;
actionPlan = newActionPlan;
BeginNextAction();
}
private bool GoalAchieveableByActions(AIGoal goal)
{
// Note that this won't check if each action's preconditions will be met.
// This will be calculated by aStar
Dictionary <string, bool> conditionsMet = new Dictionary <string, bool>();
foreach (var condition in goal.GetConditions())
{
conditionsMet.Add(condition.Key, false);
}
foreach (var stateValue in agent.GetMemory().GetState())
{
if (conditionsMet.ContainsKey(stateValue.Key) && conditionsMet[stateValue.Key].Equals(goal.GetConditions()[stateValue.Key]))
{
conditionsMet[stateValue.Key] = true;
}
}
foreach (var action in agent.GetActions())
{
if (!action.CheckProceduralPrecondition())
{
continue;
}
foreach (var effect in action.GetEffects())
{
if (conditionsMet.ContainsKey(effect.Key) && effect.Value.Equals(goal.GetConditions()[effect.Key]))
{
conditionsMet[effect.Key] = true;
}
}
}
return(!conditionsMet.ContainsValue(false));
}
public void CalculateNewGoal()
{
AILogger.CreateMessage("Calculating new goal.", agent);
List <AIGoal> goals = new List <AIGoal>(agent.GetGoals());
goals.Sort((x, y) => x.Priority.CompareTo(y.Priority));
if (goals.Count == 0)
{
return;
}
for (int i = 0; i < goals.Count; i++)
{
currentGoal = goals[i];
if (!GoalAchieveableByActions(currentGoal))
{
continue;
}
if (aStar.FindActionPlan(agent, this))
{
actions = aStar.GetActionPlan();
}
else
{
AILogger.CreateMessage("failed to find action plan.", agent);
}
}
if (actions.Count > 0 && OnActionPlanFound != null)
{
OnActionPlanFound();
}
}