Ejemplo n.º 1
0
        /// <summary>
        /// Checks if any player is within 20 blocks of the minion. If they are, then this method
        /// sets the minion's target to the character and returns true, otherwise it sets the minion's
        /// target to null and returns false. 
        /// 
        /// If the minion can't see any enemies this method will put the minion in an idle time state
        /// </summary>
        /// <param name="m"></param>
        /// <returns></returns>
        public bool chooseNextNode(Minion m)
        {
            //Check if the closest player is within 20 blocks
            if (m.containingLevel.players.Count == 0)
            {
                return false;
            }

            float dist = Vector3.Distance(Constants.UnconvertFromXNAScene(m.position), Constants.UnconvertFromXNAScene(m.containingLevel.players[0].position));
            Character closestPlayer = m.containingLevel.players[0];

            //This probably breaks encapsulation
            for (int i = 1; i < m.containingLevel.players.Count; ++i)
            {
                float checkDist = Vector3.Distance(Constants.UnconvertFromXNAScene(m.position), Constants.UnconvertFromXNAScene(m.containingLevel.players[i].position));
                if (checkDist < dist)
                {
                    dist = checkDist;
                    closestPlayer = m.containingLevel.players[i];
                }
            }

            //Enemy out of sight
            if (dist / Constants.TILE_SIZE > Constants.MINION_SIGHT)
            {
                //m.gotoIdleState();
                return false;
            }
            else
            {
                m.target = closestPlayer;
                return true;
            }
        }
Ejemplo n.º 2
0
 private AI_STATE evaluateTreeRec(Minion m, ADecisionTreeNode root)
 {
     if (root == null)
     {
         throw new Exception("The decision tree isn't working properly. We hit a null node");
     }
     //The tree should only have leaves and 2 child nodes...hopefully
     //if (root.isLeaf())
     //{
     //    choice = root.chooseAction(m);
     //    return false;
     //}
     //else
     //{
     //    if (root.chooseNextNode(m))
     //    {
     //        return evaluateTreeRec(m, root.yes, out choice);
     //    }
     //    else
     //    {
     //        return evaluateTreeRec(m, root.no, out choice);
     //    }
     //}
     AI_STATE result = root.chooseAction(m);
     if (result == AI_STATE.NO)
     {
         return evaluateTreeRec(m, root.no);
     }
     else if (result == AI_STATE.YES)
     {
         return evaluateTreeRec(m, root.yes);
     }
     return result;
 }
Ejemplo n.º 3
0
 /// <summary>
 /// This method will evaluate if the minion's target is within attacking range. The target must
 /// be set by the previous node in the tree (SeeEnemy), otherwise this returns false
 /// </summary>
 /// <param name="m"></param>
 /// <returns></returns>
 private bool chooseNextNode(Minion m)
 {
     if (m.target == null)
     {
         return false;
     }
     return (Vector3.Distance(Constants.UnconvertFromXNAScene(m.position), Constants.UnconvertFromXNAScene(m.target.position))) / Constants.TILE_SIZE < Constants.MINION_ATTACK_RANGE;
 }
Ejemplo n.º 4
0
 public override AI_STATE chooseAction(Minion m)
 {
     //If we don't see an enemy, patrol
     if (!chooseNextNode(m))
     {
         return AI_STATE.NO;
     }
     else
     {
         return AI_STATE.YES;
     }
 }
Ejemplo n.º 5
0
 public AI_STATE evaluateTree(Minion m)
 {
     return evaluateTreeRec(m, root);
 }
Ejemplo n.º 6
0
 private bool chooseNextNode(Minion m)
 {
     return m.lastMoved <= 0;
 }
Ejemplo n.º 7
0
 private bool chooseNextNode(Minion m)
 {
     //We have a path to the target if the queue is not null
     //???
     return m.pathToTarget.Count != 0;// && !m.closeTo(m.pathToTarget.Peek());
 }
Ejemplo n.º 8
0
 public override AI_STATE chooseAction(Minion m)
 {
     //If we have a path to the target, follow it, otherwise calculate it
     return chooseNextNode(m) ? AI_STATE.YES : AI_STATE.NO;
 }
 /// <summary>
 /// Call this method when traversing the decision tree, it will tell you whether
 /// to go left or right, depending on the situation of the level. If this node doesn't
 /// have any children, then use the result of chooseAction
 /// </summary>
 /// <param name="m"></param>
 /// <returns></returns>
 //public abstract bool chooseNextNode(Minion m);
 /// <summary>
 /// A method that returns the action associated with the given node. If this is
 /// an internal node it will return either left or right. Otherwise if it's a leaf
 /// it will return a specific action --HACK--
 /// </summary>
 /// <param name="m"></param>
 /// <returns></returns>
 public abstract AI_STATE chooseAction(Minion m);