Description

Artificial Intelligence in gaming creates dynamic, responsive, and challenging experiences. From intelligent non-player characters (NPCs) to procedurally generated worlds, AI shapes the behavior, difficulty, and realism of games. It enhances both game design and gameplay by allowing machines to adapt to player actions in real-time, resulting in more engaging interactions.

Examples (Code)

Below is a simple example

# Simple AI using Minimax for a Tic Tac Toe game (2-player)
import math

def is_winner(board, player):
    win_cond = [(0,1,2), (3,4,5), (6,7,8), 
                (0,3,6), (1,4,7), (2,5,8), 
                (0,4,8), (2,4,6)]
    return any(all(board[i] == player for i in combo) for combo in win_cond)

def minimax(board, depth, is_maximizing):
    if is_winner(board, 'O'):
        return 1
    elif is_winner(board, 'X'):
        return -1
    elif ' ' not in board:
        return 0

    if is_maximizing:
        best_score = -math.inf
        for i in range(9):
            if board[i] == ' ':
                board[i] = 'O'
                score = minimax(board, depth+1, False)
                board[i] = ' '
                best_score = max(score, best_score)
        return best_score
    else:
        best_score = math.inf
        for i in range(9):
            if board[i] == ' ':
                board[i] = 'X'
                score = minimax(board, depth+1, True)
                board[i] = ' '
                best_score = min(score, best_score)
        return best_score

Real-World Applications

Where AI Is Applied

Resources

Interview Questions with Answers