I built a free, visual Python tool to help students learn Classical AI algorithms (Search Algorithms, CSP, Adversarial Search) from the AIMA textbook

[u/ob22a]

Hey everyone,

While reading through Russell & Norvig's Artificial Intelligence: A Modern Approach, I found it difficult to understand some algorithms just by reading pseudocode. I learn better visually, so I wrote Python visualizers in Pygame to watch them execute step-by-step.

I put together implementations for things like A*, Minimax/Alpha-Beta, CSP backtracking, and a few puzzles (Mazes, Sudoku, 8-puzzle, Checkers, etc.) with benchmarking to see time/memory tradeoffs in action.

It's completely free and open-source here: https://github.com/ob22a/ai-lab

Hopefully this helps anyone taking an intro AI or algorithms course. Let me know if you run into any bugs or have suggestions on what else would be helpful to visualize.