public IEnumerable<Act.Status> GreedyFallbackBehavior(Creature agent)
{
EdgeGoalRegion edgeGoal = new EdgeGoalRegion();
while (true)
{
Voxel creatureVoxel = agent.Physics.CurrentVoxel;
if (edgeGoal.IsInGoalRegion(creatureVoxel))
{
yield return Act.Status.Success;
yield break;
}
List<Creature.MoveAction> actions = agent.AI.Movement.GetMoveActions(creatureVoxel);
float minCost = float.MaxValue;
Creature.MoveAction minAction = new Creature.MoveAction();
bool hasMinAction = false;
foreach (Creature.MoveAction action in actions)
{
Voxel vox = action.Voxel;
float cost = edgeGoal.Heuristic(vox) + MathFunctions.Rand(0.0f, 5.0f);
if (cost < minCost)
{
minAction = action;
minCost = cost;
hasMinAction = true;
}
}
if (hasMinAction)
{
Creature.MoveAction nullAction = new Creature.MoveAction()
{
Diff = minAction.Diff,
MoveType = Creature.MoveType.Walk,
Voxel = creatureVoxel
};
agent.AI.Blackboard.SetData("GreedyPath", new List<Creature.MoveAction>(){nullAction, minAction});
FollowPathAnimationAct pathAct = new FollowPathAnimationAct(agent.AI, "GreedyPath");
pathAct.Initialize();
foreach (Act.Status status in pathAct.Run())
{
yield return Act.Status.Running;
}
}
yield return Act.Status.Running;
}
}
public IEnumerable <Act.Status> GreedyFallbackBehavior(Creature agent)
{
var edgeGoal = new EdgeGoalRegion();
while (true)
{
DieTimer.Update(DwarfTime.LastTime);
if (DieTimer.HasTriggered)
{
foreach (var status in Die(agent))
{
continue;
}
yield break;
}
var creatureVoxel = agent.Physics.CurrentVoxel;
List <MoveAction> path = new List <MoveAction>();
var storage = new MoveActionTempStorage();
for (int i = 0; i < 10; i++)
{
if (edgeGoal.IsInGoalRegion(creatureVoxel))
{
foreach (var status in Die(agent))
{
continue;
}
yield return(Act.Status.Success);
yield break;
}
var actions = agent.AI.Movement.GetMoveActions(new MoveState {
Voxel = creatureVoxel
}, new List <GameComponent>(), storage);
float minCost = float.MaxValue;
var minAction = new MoveAction();
bool hasMinAction = false;
foreach (var action in actions)
{
var vox = action.DestinationVoxel;
float cost = edgeGoal.Heuristic(vox) * 10 + MathFunctions.Rand(0.0f, 0.1f) + agent.AI.Movement.Cost(action.MoveType);
if (cost < minCost)
{
minAction = action;
minCost = cost;
hasMinAction = true;
}
}
if (hasMinAction)
{
path.Add(minAction);
creatureVoxel = minAction.DestinationVoxel;
}
else
{
foreach (var status in Die(agent))
{
continue;
}
yield return(Act.Status.Success);
yield break;
}
}
if (path.Count == 0)
{
foreach (var status in Die(agent))
{
continue;
}
yield return(Act.Status.Success);
yield break;
}
agent.AI.Blackboard.SetData("GreedyPath", path);
var pathAct = new FollowPathAct(agent.AI, "GreedyPath");
pathAct.Initialize();
foreach (Act.Status status in pathAct.Run())
{
yield return(Act.Status.Running);
}
yield return(Act.Status.Running);
}
}