I’ve been terrible at keeping this blog up to date. One of Simon’s best project in December 2019 was creating a chess robot and I haven’t even shared it here.
We were joking how this is Simon’s baby and her name is Chessy. Simon also made an improved version with a drop-down menu allowing to choose 1 to 5 steps ahead difficulty level (warning: levels 4 and 5 may run quite slowly): https://chess-ai-user-friendly–simontiger.repl.co/
Code: https://repl.it/@simontiger/Chess-AI-User-friendly
Simon’s original 2-steps-ahead game: https://chess-ai–simontiger.repl.co/ Code: https://repl.it/@simontiger/Chess-AI
While researching how to apply the Minimax algorithm, Simon has relied on Sebastian Lague’s Algorithms Explained – minimax and alpha-beta pruning; Keith Galli’s How does a Board Game AI Work? (Connect 4, Othello, Chess, Checkers) – Minimax Algorithm Explained; a Medium article on Programming a Chess AI: A step-by-step guide to building a simple chess AI by Lauri Hartikka; of course, The Coding Train’s challenge Tic Tac Toe AI with Minimax; and What is the Minimax Algorithm? – Artificial Intelligence by Gaurav Sen.
Simon contributed his chess robot to the MINIMAX coding challenge page on the Coding Train website:
And naturally we’ve had a lot of fun simply playing with Chessy as a family:
Geeks out of the box 
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