There follows a simple example of a game with no minimax value.

Minimax is a strategy in decision theory and related disciplines.

This is the same behavior as the normal minimax algorithm.

In the following the Minimax winner for the first group of voters is determined.

These mixed minimax strategies are now stable and cannot be improved.

He and Jill had made a deadly minimax decision in deciding on that range.

We can then limit the minimax algorithm to look only at a certain number of moves ahead.

The Minimax algorithm helps find the best move, by working backwards from the end of the game.

In general it is difficult, often even impossible to determine the minimax estimator.

Nonetheless, in many cases a minimax estimator has been determined.

His suggested solution includes the theory of minimax relative concession.

In the same year, Minimax was sold to Paramount a few months later.

Thus, A is elected Minimax winner by the second group of voters.

Finally, the Minimax winner of the complete set of voters is determined.

Zero window calls cause more cutoffs, but return less information - only a bound on the minimax value.

In 1951 he introduced the minimax regret criterion used in decision theory.

However, both groups combined elect C as the Minimax winner.

"Minimax isn't something you turn on and off.

It has also been used to find a minimax trajectory for searching a set of concurrent rays.

In zero-sum games, the minimax solution is the same as the Nash equilibrium.

We adopt a standard strategy called two-ply minimax search.

The theorem has applications in optimization, where it sometimes is used to solve minimax problems.

Play the guess with the highest score (minimax).

Frequently, in game theory, maximin is distinct from minimax.

In a given market, the set of profits which can be sustained by minimax punishments could be very large indeed.