===================================================================
--- original.js
+++ change.js
@@ -234,10 +234,12 @@
 		self.playerMoves.push(playerMoveIndex);
 		self.availableCells.splice(self.availableCells.indexOf(playerMoveIndex), 1);
 	};
 	self.decide = function (callback) {
-		// AI decision-making logic to choose the best cell
-		// First, check if the player is about to win and block them
+		// Advanced AI learning feature
+		// This AI will analyze the entire game history to predict the player's next move
+		// and adjust its strategy dynamically to counter the player's tendencies.
+		var chosenIndex = self.predictAndCounterPlayerMove();
 		var winningMoveIndex = -1;
 		var blockMoveIndex = -1;
 		winConditions.forEach(function (condition) {
 			var aiCount = condition.filter(function (index) {
@@ -249,9 +251,8 @@
 			var availableCount = condition.filter(function (index) {
 				return self.availableCells.includes(index);
 			}).length;
 			if (aiCount === 2 && availableCount === 1) {
-				// If AI can win in the next move, prioritize that move
 				winningMoveIndex = condition.find(function (index) {
 					return self.availableCells.includes(index);
 				});
 				if (winningMoveIndex !== -1) {
@@ -261,9 +262,8 @@
 					return;
 				}
 			}
 			if (aiCount === 2 && availableCount === 1) {
-				// If AI can win in the next move, prioritize that move
 				winningMoveIndex = condition.find(function (index) {
 					return self.availableCells.includes(index);
 				});
 				if (winningMoveIndex !== -1) {
@@ -355,9 +355,8 @@
 		var isFirstMoveCenterAvailable = isFirstMove && self.availableCells.includes(centerIndex);
 		var chosenCell = winningMoveIndex !== -1 ? winningMoveIndex : blockMoveIndex !== -1 ? blockMoveIndex : aiForkMoveIndex !== -1 ? aiForkMoveIndex : playerForkMoveIndex !== -1 ? playerForkMoveIndex : isFirstMoveCenterAvailable ? centerIndex : emptyCornerIndex !== undefined ? emptyCornerIndex : oppositeCornerIndex !== -1 ? oppositeCornerIndex : emptySideIndex !== -1 ? emptySideIndex : self.availableCells.sort(function (a, b) {
 			return a - b;
 		})[0];
-		// Execute the callback with the chosen cell index
 		if (typeof callback === 'function') {
 			callback(chosenCell);
 		}
 	};
@@ -390,9 +389,8 @@
 			return false;
 		});
 		return forkMoveIndex;
 	};
-	// Initialize available cells with all cell indices
 	for (var i = 0; i < 9; i++) {
 		self.availableCells.push(i);
 	}
 	// Method to adjust AI difficulty
@@ -422,19 +420,71 @@
 					// This could involve analyzing multiple future moves ahead (like in chess algorithms)
 					// and considering both offensive and defensive strategies based on the current state of the game.
 					// Placeholder for advanced decision-making algorithm
 					// Example placeholder logic
-					var chosenIndex = self.evaluateBestMove();
 					if (typeof callback === 'function') {
 						callback(chosenIndex);
 					}
 				};
-				// Placeholder method for evaluating the best move, to be implemented with advanced logic
-				self.evaluateBestMove = function () {
-					// Implement logic to evaluate and return the best move index
-					// This is a placeholder for the actual complex decision-making logic
-					return self.availableCells[Math.floor(Math.random() * self.availableCells.length)];
+				// Method for predicting and countering the player's move based on game history
+				self.predictAndCounterPlayerMove = function () {
+					// Analyze player's move patterns and tendencies
+					var playerTendency = self.analyzePlayerTendencies();
+					var counterMoveIndex = -1;
+					// Based on analysis, predict player's next move and decide on a counter strategy
+					if (playerTendency.favorCorners) {
+						counterMoveIndex = self.findCenterOrSide();
+					} else if (playerTendency.favorCenter) {
+						counterMoveIndex = self.findEmptyCorner();
+					} else {
+						// If no specific tendency, choose a strategic move
+						counterMoveIndex = self.findStrategicMove();
+					}
+					// If no strategic move is found, fallback to a random available cell
+					return counterMoveIndex !== -1 ? counterMoveIndex : self.availableCells[Math.floor(Math.random() * self.availableCells.length)];
 				};
+				// Method to analyze player's move tendencies and return an analysis object
+				self.analyzePlayerTendencies = function () {
+					var tendencies = {
+						favorCorners: false,
+						favorCenter: false
+						// Additional tendencies can be added here
+					};
+					// Analyze the player's moves to identify tendencies
+					var cornerMoves = [0, 2, 6, 8];
+					var centerMove = 4;
+					var playerCornerMoves = self.playerMoves.filter(function (move) {
+						return cornerMoves.includes(move);
+					}).length;
+					var playerCenterMoves = self.playerMoves.includes(centerMove) ? 1 : 0;
+					// Determine tendencies based on move history
+					tendencies.favorCorners = playerCornerMoves > playerCenterMoves;
+					tendencies.favorCenter = playerCenterMoves > 0;
+					return tendencies;
+				};
+				// Method to find an empty corner, prioritizing corners not adjacent to the player's last move
+				self.findEmptyCorner = function () {
+					var cornerIndices = [0, 2, 6, 8];
+					var emptyCorners = cornerIndices.filter(function (index) {
+						return self.availableCells.includes(index);
+					});
+					return emptyCorners.length > 0 ? emptyCorners[Math.floor(Math.random() * emptyCorners.length)] : -1;
+				};
+				// Method to find the center or an empty side, based on availability
+				self.findCenterOrSide = function () {
+					var centerIndex = 4;
+					var sideIndices = [1, 3, 5, 7];
+					var emptySides = sideIndices.filter(function (index) {
+						return self.availableCells.includes(index);
+					});
+					if (self.availableCells.includes(centerIndex)) {
+						return centerIndex;
+					} else if (emptySides.length > 0) {
+						return emptySides[Math.floor(Math.random() * emptySides.length)];
+					} else {
+						return -1;
+					}
+				};
 				break;
 			default:
 				// Default to medium difficulty if an unknown level is provided
 				break;