Minimax Game Playing Algorithm in Artificial Intelligence

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Minimax (sometimes MinMax, MM or saddle point) is a decision rule used in artificial intelligence, decision theory, game theory, statistics, and philosophy for minimizing the possible loss for a worst case (maximum loss) scenario. When dealing with gains, it is referred to as "maximin"—to maximize the minimum gain.
In this tutorial you will learn Minimax algorithm and other concepts like game playing, backtracking, recursion etc.

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Thanks very much for ur Min_Max explanation... It's awesome...
God blessess u...
Athma Ram K.

athmaram
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Sir can uh please tell me In node F values are -3 and -5 why 3 is greater here???? Can uh pls tell me

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