Revolutionizing Tic-Tac-Toe AI: A Deep Dive into Delta Swap Techniques

This article delves into the fascinating world of building AI for Tic-Tac-Toe using Python! The focus on techniques like delta swap for board representation and handling game states promises a more efficient and insightful approach to AI development. It's an exciting look into the core logic of creating smart game-playing agents.

• •The article uses Python 3.13 and NumPy 2.3.5 for the AI implementation.
• •It focuses on implementing delta swap techniques for a 3x3 Tic-Tac-Toe board initially, with plans for larger boards later.
• •The core goal is to define methods for converting the board state into a hashable format to improve efficiency.