Game playing in AI and Adverserial search algorithm | Aritificial intelligence lectures for students

In this video, we’ll explore game-playing strategies and adversarial search techniques in Artificial Intelligence (AI). You’ll learn how AI competes in two-player games using adversarial search methods like Minimax and Alpha-Beta pruning to make optimal moves against an opponent. We’ll break down how these algorithms work in games like Chess and Tic-Tac-Toe, where AI evaluates possible moves, anticipates counter-moves, and strategizes to win. This video is perfect for anyone interested in understanding the decision-making behind competitive AI game players.

Notes link :-
https://drive.google.com/drive/folders/1Ywx7XBd2glXfkQycGDI5Agm-JxoMxZmi

Be sure to like, comment, and subscribe for more insights into AI and advanced search techniques!

#ai #gameplayingai #adverserialsearch

Видео Game playing in AI and Adverserial search algorithm | Aritificial intelligence lectures for students канала Engineers Ka Adda