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Minimax Algorithm In Artificial Intelligence (AI) with solved example | Tic-Tac-Toe



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Alpha Beta Pruning (alpha-beta cutoff) Solved Example Artificial Intelligence (AI):
https://www.youtube.com/watch?v=N_wItjldKQ0&feature=youtu.be

Minimax or Min max Algorithm example in Artificial Intelligence which is also used in Tic-Tac-Toe game playing.Minimax Algorithm is a kind of backtracking algorithm used in game theory and decision making to find the optimal move for a player, assuming your opponent also plays optimally.Minimax algorithm in artificial intelligence (ai) is a decision rule used in decision theory, game theory, statistics and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario.When dealing with gains, Minimax is referred to as “maximin”—to maximize the minimum gain. Originally formulated for two-player zero-sum game theory, covering both the cases where players take alternate moves and those where they make simultaneous moves, it has also been extended to more complex games and to general decision-making in the presence of uncertainty.

For more visit: https://en.wikipedia.org/wiki/Minimax

Some of the Artificial intelligence algorithm examples playlist link is below :

https://www.youtube.com/watch?v=Fwt9jhsCjC0&index=6&list=PLNmFIlsXKJMnaoVHNcwBF07Tu244fn1c1

Intro song : https://www.youtube.com/channel/UCBI9ekTJ4Wutlhh-BXgBq2A/featured

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