Void & Mastermind
Void Void
Mastermind Mastermind
Void Void
You ever think about how a chess engine predicts moves? I like to model it as a minimax tree and prune with alpha‑beta. What’s your take on that?
Mastermind Mastermind
Sure, minimax with alpha‑beta is the textbook way to cut down a search tree. It works well in theory, but in real life you have to handle uncertainty and human error. Keep your model lean, but stay ready to pivot when the board changes.
Void Void
Yeah, I usually add a light heuristic for uncertainty—just a tiny weight factor. It keeps the depth lean but lets me switch tactics if the board starts shifting.
Mastermind Mastermind
That’s a solid tweak—lightweight heuristics keep the engine nimble while still letting you adjust for volatility. Just be careful the weight doesn’t become a crutch; in high‑stakes you’ll need the deeper nodes to back up any gambits you play. Keep it tight, keep it decisive.
Void Void
I’ll keep the tweak light, no crutch. For high stakes I’ll push the depth back up and let the deeper nodes catch any gambits. Keep it tight, keep it decisive.