Tic Tac Toe AI with MiniMax using Python | Part 1: Programming Tic Tac Toe скачать в хорошем качестве

Tic Tac Toe AI with MiniMax using Python | Part 1: Programming Tic Tac Toe

How to create Tic Tac Toe AI with Minimax using Python. Tic Tac Toe AI Bot with Minimax Tutorial. Learn how to create unbeatable Tic Tac Toe AI using minimax and Python. Today I will show you how to create a tic tac toe AI using Python. The AI will be programmed with the Minimax algorithm which will make it unbeatable. In this first part we will create the actual tic tac toe game and in the next part we will implement the AI. Patreon:   / javacodingcommunity   Find the code here: https://github.com/javacodingcommunit... Follow me on Instagram:   / javacodingcommunity   Minimax is a kind of backtracking algorithm that is used in decision making and game theory to find the optimal move for a player, assuming that your opponent also plays optimally. It is widely used in two player turn-based games such as Tic-Tac-Toe, Backgammon, Mancala, Chess, etc. In Minimax the two players are called maximizer and minimizer. The maximizer tries to get the highest score possible while the minimizer tries to do the opposite and get the lowest score possible. def checkForWin(): if (board[1] == board[2] and board[1] == board[3] and board[1] != ' '): return True elif (board[4] == board[5] and board[4] == board[6] and board[4] != ' '): return True elif (board[7] == board[8] and board[7] == board[9] and board[7] != ' '): return True elif (board[1] == board[4] and board[1] == board[7] and board[1] != ' '): return True elif (board[2] == board[5] and board[2] == board[8] and board[2] != ' '): return True elif (board[3] == board[6] and board[3] == board[9] and board[3] != ' '): return True elif (board[1] == board[5] and board[1] == board[9] and board[1] != ' '): return True elif (board[7] == board[5] and board[7] == board[3] and board[7] != ' '): return True else: return False