The minimax algorithm is a very important part of AI. This is an example using the word minimax.
Minimax - Spanish TV channel - was created in 1993.
A minimax go-kart typically weighs around 150-200 pounds, depending on the specific model and any additional features or modifications.
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solve a problem in game theory
Minimax also called minmax is a strategic decision making process that is suppose to help minimize losses in the case of a defeat. It is also known as a way to get the most out of a loss or minimal gain.
Yes, there is a unique solution.
K. Holmaker has written: 'On a minimax problem in optimal control theory'
In case of canny detector, we may say that it is too complex to have its algorithm. It is more than minimax AI algorithm.
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The computer uses a thing called "minimax", where it looks at each possible move, and calculates a "score" for black and white. It tries to leave the human with the worst possible set of moves, and assumes that the human will try to leave it the worst set of moves. to calculate what the human's move will be, it uses minimax.. The computer has to stop at some number of moves in the future, so it may look ahead 3 moves, or more for harder computer opponent. The number of moves it looks ahead is called "depth". The depth is how far ahead minimax can see. So the computer plays a bunch of games in it's head, finding the one that it thinks the hardest for the human to win.
There is in math a set known as a minimax, and the corresponding set called maximin. And also maximax and minimin.Of the set of values momentarily peaking (of a varying signal or data set), the minimax is the lowest of that set of maximum.Similarly the maximin is the highest value of the set of minima signals.The set of values lying between these represent the smallest variations from the mean.Maximax and minimin represent the extreme values of the whole data set.