void Start()
{
m_randomOffset = Random.value;
m_anim = GetComponent <Animator>();
m_stats = GetComponent <AIStats>();
m_player = Manager.GetPlayer().transform;
}
void Start()
{
/*aiManager = FindObjectOfType<AIManager>();
* if (aiManager == null)
* {
* Debug.LogError("No AIManager found in scene");
* }
* // Add this gameobject to ai list
* aiManager.AddAI(gameObject);*/
player = GameObject.FindGameObjectWithTag("Player");
if (Random.Range(0.0f, 1.0f) > 0.5f)
{
fleeDir = -1.0f;
}
float sqrtSpeed = Mathf.Sqrt(speed);
currentSpeed = new Vector2(Random.Range(-sqrtSpeed, sqrtSpeed), Random.Range(-sqrtSpeed, sqrtSpeed));
animator = gameObject.GetComponent <Animator>();
aiStats = gameObject.GetComponent <AIStats>();
Collider2D[] collisionArray = gameObject.GetComponents <CircleCollider2D>();
foreach (CircleCollider2D c in collisionArray)
{
if (!c.isTrigger)
{
wallAvoidDistance = c.radius * 1.5f;
}
}
}
public int Do(Color color, Bitboard bitboard, int alpha, int beta, AIStats stats)
{
var enemyColor = ColorOperations.Invert(color);
var colorSign = ColorOperations.ToSign(color);
stats.QuiescenceTotalNodes++;
var whiteGeneratorMode = GetGeneratorMode(color, Color.White);
var blackGeneratorMode = GetGeneratorMode(color, Color.Black);
bitboard.Calculate(whiteGeneratorMode, blackGeneratorMode, true);
if (bitboard.IsCheck(enemyColor))
{
stats.QuiescenceEndNodes++;
return(AIConstants.MateValue);
}
var evaluation = colorSign * bitboard.GetEvaluation();
if (evaluation >= beta)
{
stats.QuiescenceEndNodes++;
return(beta);
}
if (evaluation > alpha)
{
alpha = evaluation;
}
var sortedMoves = SortMoves(color, bitboard, bitboard.Moves);
foreach (var move in sortedMoves)
{
var bitboardAfterMove = bitboard.Move(move);
var nodeValue = -Do(enemyColor, bitboardAfterMove, -beta, -alpha, stats);
if (nodeValue >= beta)
{
return(beta);
}
if (nodeValue > alpha)
{
alpha = nodeValue;
}
}
if (!sortedMoves.Any())
{
stats.QuiescenceEndNodes++;
}
return(alpha);
}
void Start()
{
m_randomOffset = Random.value;
m_weapon = GetComponentInChildren <AIWeapon>();
m_anim = GetComponent <Animator>();
m_stats = GetComponent <AIStats>();
m_player = Manager.GetPlayer().transform;
m_randomInterval = Random.value;
}
public void SetAIStats(int i, AI_Controller t)
{
AIStats a = ai_stats[i];
t.changeStateTolerance = Ran(a.changeStateTolerance_min, a.changeStateTolerance_max);
t.normalRate = Ran(a.normalRate_min, a.normalRate_max);
t.closeRate = Ran(a.closeRate_min, a.closeRate_max);
t.blockingRate = Ran(a.blockingRate_min, a.blockingRate_max);
t.aiStateLife = Ran(a.aiStateLife_min, a.aiStateLife_max);
t.jumpRate = Ran(a.jumpRate_min, a.jumpRate_max);
}
private void Start()
{
aiStats = gameObject.transform.parent.gameObject.GetComponentInChildren <AIStats>();
if (!aiStats.isAggressive)
{
Destroy(gameObject);
}
else
{
aiMovement = gameObject.GetComponentInParent <RandomMovement>();
alertSprite = GetComponent <SpriteRenderer>();
}
}
// Start is called before the first frame update
void Start()
{
player = GameObject.FindGameObjectWithTag("Player");
Collider2D[] collisionArray = gameObject.GetComponents <Collider2D>();
foreach (Collider2D c in collisionArray)
{
if (!c.isTrigger)
{
Physics2D.IgnoreCollision(player.GetComponent <Collider2D>(), c);
}
}
aiStats = gameObject.GetComponent <AIStats>();
animator = gameObject.GetComponent <Animator>();
}
IEnumerator Start()
{
m_Tree = BLNewBehaveLibrary0.InstantiateTree(
BLNewBehaveLibrary0.TreeType.HeroAI1_NewTree1, this);
stats = gameObject.GetComponent<AIStats>();
stats.distanceToTarget = 10;
stats.fatigue = 100;
stats.oreCap = 150;
while (Application.isPlaying && m_Tree != null)
{
yield return new WaitForSeconds(1 / m_Tree.Frequency);
AIUpdate();
}
}
private float GetSmallestMovementSpeed(GameObject[] enemies)
{
float smallest = Mathf.Infinity;
foreach (GameObject enemy in enemies)
{
AIStats stats = enemy.GetComponent <AIStats> ();
if (stats.movementSpeed < smallest)
{
smallest = stats.movementSpeed;
}
}
return(smallest);
}
// Use this for initialization
void Start()
{
localTag = AITag.Patrolling;
AIManager.SubscribeBehaviour(this);
AIManager.RegisterDefaultBehaviour(behaviourCode);
// Set up 3 different stats
charStats = AIManager.GetStats.GetCharacterStats;
aiStats = AIManager.GetStats.GetAIStats;
// Initiate patrol path, calling Initialize and EndPatrol at start and end
aiStats.InitializePatrolList(new Vector3(transform.position.x, transform.position.y, transform.position.z));
aiStats.AddNextPatrolDest(new Vector3(transform.position.x + 15.0f, transform.position.y, transform.position.z));
aiStats.AddNextPatrolDest(new Vector3(transform.position.x + 15.0f, transform.position.y, transform.position.z + 15.0f));
aiStats.AddNextPatrolDest(new Vector3(transform.position.x, transform.position.y, transform.position.z + 15.0f));
aiStats.AddEndPatrolSegment();
}
// Use this for initialization
void Start()
{
localTag = AITag.Attacking;
AIManager.SubscribeBehaviour(this);
weaponStats = AIManager.GetStats.GetPrimaryWStats;
aiStats = AIManager.GetStats.GetAIStats;
bulletSpawnPos = AIManager.GetStats.GetWeaponObj.transform;
aimPos = AIManager.GetStats.GetAimObj.transform;
GameObject newLaser = Instantiate <GameObject> (linePrefab);
laserLine = newLaser.GetComponent <LineRenderer> ();
laserLine.startWidth = 0.005f;
laserLine.endWidth = 0.005f;
laserLine.positionCount = 2;
laserLine.SetPosition(0, bulletSpawnPos.position);
laserLine.SetPosition(1, bulletSpawnPos.position);
laserLine.startColor = new Color(0, 0, 0, 0);
laserLine.endColor = new Color(0, 0, 0, 0);
}
// Use this for initialization
void Start()
{
Debug.Log("player:: " + PlayerStats.won_index);
Debug.Log("AI:: " + AIStats.won_index);
moneyEarned_txt = moneyEarned_object.GetComponent <Text>();
// initialize variables from the preferences.
stars_earned = PlayerPrefs.GetInt("stars_num");
money_earned = PlayerPrefs.GetInt("money_won");
Debug.Log("win_index:: " + PlayerStats.won_index);
// load player board winner.
if (PlayerStats.won_index > -1)
{
for (int i = 0; i < 16; i++)
{
PlayerStats.boards[PlayerStats.won_index].cards[i] = board.GetChild(0).GetChild(i);
}
PlayerStats.LoadBoard(PlayerStats.won_index);
}
// load AI board winner.
else if (AIStats.won_index > -1)
{
for (int i = 0; i < 16; i++)
{
AIStats.boards[AIStats.won_index].cards[i] = board.GetChild(0).GetChild(i);
}
AIStats.LoadBoard();
}
// AI won.
if (AIStats.won_index > -1)
{
stars_earned = 0;
money_earned = Random.Range(5, 10);
player_won = false;
if (PlayerStats.coins - money_earned > 0)
{
PlayerStats.coins -= money_earned;
}
else
{
PlayerStats.coins = 0;
}
SaveLoadController.SaveStats(PlayerStats.coins, PlayerStats.stars, "player_stats.sav");
}
// Player won.
else if (PlayerStats.won_index > -1)
{
player_won = true;
PlayerStats.coins += money_earned;
PlayerStats.stars += stars_earned;
SaveLoadController.SaveStats(PlayerStats.coins, PlayerStats.stars, "player_stats.sav");
}
// update user stats (money, exp).
StartCoroutine(StarAwards(stars_earned));
StartCoroutine(MoneyAwards(money_earned));
StartCoroutine(GoToScene(0));
}
/// <summary>
/// Temporary method to calculating best move.
/// </summary>
/// <param name="color">The player color.</param>
/// <param name="bitboard">The bitboard.</param>
/// <param name="depth">The current depth.</param>
/// <param name="bestMove">The best possible move from nested nodes.</param>
/// <param name="stats">The AI stats.</param>
/// <returns>The evaluation score of best move.</returns>
public int Do(Color color, Bitboard bitboard, int depth, int alpha, int beta, AIStats stats)
{
var bestValue = AIConstants.InitialAlphaValue;
var enemyColor = ColorOperations.Invert(color);
var boardHash = bitboard.GetHashForColor(color);
var originalAlpha = alpha;
stats.TotalNodes++;
if (bitboard.IsThreefoldRepetition())
{
stats.EndNodes++;
return(0);
}
if (_transpositionTable.Exists(boardHash))
{
var transpositionNode = _transpositionTable.Get(boardHash);
if (transpositionNode.Depth >= depth)
{
stats.TranspositionTableHits++;
switch (transpositionNode.Type)
{
case ScoreType.Exact:
{
return(transpositionNode.Score);
}
case ScoreType.LowerBound:
{
alpha = Math.Max(alpha, transpositionNode.Score);
break;
}
case ScoreType.UpperBound:
{
beta = Math.Min(beta, transpositionNode.Score);
break;
}
}
if (alpha >= beta)
{
return(transpositionNode.Score);
}
}
}
if (depth <= 0)
{
stats.EndNodes++;
return(_quiescenceSearch.Do(color, bitboard, alpha, beta, stats));
}
var whiteGeneratorMode = GetGeneratorMode(color, Color.White);
var blackGeneratorMode = GetGeneratorMode(color, Color.Black);
bitboard.Calculate(whiteGeneratorMode, blackGeneratorMode, false);
if (bitboard.IsCheck(enemyColor))
{
stats.EndNodes++;
return(AIConstants.MateValue + depth);
}
Move bestMove = null;
var availableMoves = SortMoves(color, bitboard, bitboard.Moves);
var firstMove = true;
foreach (var move in availableMoves)
{
var bitboardAfterMove = bitboard.Move(move);
var nodeValue = 0;
if (firstMove)
{
nodeValue = -Do(enemyColor, bitboardAfterMove, depth - 1, -beta, -alpha, stats);
firstMove = false;
}
else
{
nodeValue = -Do(enemyColor, bitboardAfterMove, depth - 1, -alpha - 1, -alpha, stats);
if (nodeValue > alpha && nodeValue < beta)
{
bitboardAfterMove = bitboard.Move(move);
nodeValue = -Do(enemyColor, bitboardAfterMove, depth - 1, -beta, -alpha, stats);
}
}
if (nodeValue > bestValue)
{
bestValue = nodeValue;
bestMove = move;
}
alpha = Math.Max(nodeValue, alpha);
if (alpha >= beta)
{
stats.AlphaBetaCutoffs++;
break;
}
}
if (bestValue == -(AIConstants.MateValue + depth - 1) && !bitboard.IsCheck(color))
{
stats.EndNodes++;
return(0);
}
var updateTranspositionNode = new TranspositionNode();
updateTranspositionNode.Score = bestValue;
updateTranspositionNode.Depth = depth;
updateTranspositionNode.BestMove = bestMove;
if (bestValue <= originalAlpha)
{
updateTranspositionNode.Type = ScoreType.UpperBound;
}
else if (bestValue >= beta)
{
updateTranspositionNode.Type = ScoreType.LowerBound;
}
else
{
updateTranspositionNode.Type = ScoreType.Exact;
}
_transpositionTable.AddOrUpdate(boardHash, updateTranspositionNode);
return(bestValue);
}
void Start()
{
m_stats = GetComponent <AIStats>();
}
/// <summary>
/// Regular search, the core of AI algorithms.
/// </summary>
/// <param name="color">The player color.</param>
/// <param name="bitboard">The bitboard.</param>
/// <param name="depth">The current depth.</param>
/// <param name="alpha">The alpha value.</param>
/// <param name="beta">The beta value.</param>
/// <param name="deadline">The deadline (time after which search is immediately terminated).</param>
/// <param name="helper">The flag indicating whether the search is an helper or not.</param>
/// <param name="stats">The AI stats.</param>
/// <returns>The evaluation score of best move.</returns>
public int Do(Color color, Bitboard bitboard, int depth, int alpha, int beta, long deadline, bool helper, AIStats stats)
{
var root = stats.TotalNodes == 0;
var bestValue = AIConstants.InitialAlphaValue;
var enemyColor = ColorOperations.Invert(color);
var boardHash = bitboard.GetHashForColor(color);
var originalAlpha = alpha;
stats.TotalNodes++;
if (bitboard.IsThreefoldRepetition())
{
stats.EndNodes++;
return(0);
}
#if TRANSPOSITION_TABLE
if (_transpositionTable.Exists(boardHash))
{
var transpositionNode = _transpositionTable.Get(boardHash);
if (transpositionNode.Depth >= depth)
{
stats.TranspositionTableHits++;
switch (transpositionNode.Type)
{
case ScoreType.Exact:
{
return(transpositionNode.Score);
}
case ScoreType.LowerBound:
{
alpha = Math.Max(alpha, transpositionNode.Score);
break;
}
case ScoreType.UpperBound:
{
beta = Math.Min(beta, transpositionNode.Score);
break;
}
}
if (alpha >= beta)
{
return(transpositionNode.Score);
}
}
}
#endif
if (depth <= 0)
{
stats.EndNodes++;
#if QUIESCENCE_SEARCH
return(_quiescenceSearch.Do(color, bitboard, alpha, beta, stats));
#else
bitboard.Calculate(GeneratorMode.CalculateAttacks, false);
return(bitboard.GetEvaluation());
#endif
}
var whiteGeneratorMode = GetGeneratorMode(color, Color.White);
var blackGeneratorMode = GetGeneratorMode(color, Color.Black);
bitboard.Calculate(whiteGeneratorMode, blackGeneratorMode, false);
if (bitboard.IsCheck(enemyColor))
{
stats.EndNodes++;
return(AIConstants.MateValue + depth);
}
Move bestMove = null;
var availableMoves = SortMoves(color, depth, bitboard, bitboard.Moves, helper);
var firstMove = true;
foreach (var move in availableMoves)
{
if (DateTime.Now.Ticks >= deadline)
{
break;
}
if (root)
{
if (_patternsDetector.IsPattern(bitboard, move))
{
continue;
}
}
var bitboardAfterMove = bitboard.Move(move);
var nodeValue = 0;
if (firstMove)
{
nodeValue = -Do(enemyColor, bitboardAfterMove, depth - 1, -beta, -alpha, deadline, helper, stats);
#if NEGASCOUT
firstMove = false;
#endif
}
else
{
nodeValue = -Do(enemyColor, bitboardAfterMove, depth - 1, -alpha - 1, -alpha, deadline, helper, stats);
if (nodeValue > alpha && nodeValue < beta)
{
bitboardAfterMove = bitboard.Move(move);
nodeValue = -Do(enemyColor, bitboardAfterMove, depth - 1, -beta, -alpha, deadline, helper, stats);
}
}
if (nodeValue > bestValue)
{
bestValue = nodeValue;
bestMove = move;
}
alpha = Math.Max(nodeValue, alpha);
if (alpha >= beta)
{
if (move is QuietMove)
{
_historyTable.AddKiller(color, depth, bestMove);
_killerTable.AddKiller(depth, move);
}
#if ALPHABETA_PRUNNING
stats.AlphaBetaCutoffs++;
break;
#endif
}
}
if (bestValue == -(AIConstants.MateValue + depth - 1) && !bitboard.IsCheck(color))
{
stats.EndNodes++;
return(0);
}
var updateTranspositionNode = new TranspositionNode
{
Score = bestValue,
Depth = depth,
BestMove = bestMove,
Type = GetTranspositionNodeType(originalAlpha, beta, bestValue)
};
_transpositionTable.AddOrUpdate(boardHash, updateTranspositionNode);
return(bestValue);
}