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Algorithmic Game Theory and Applications Lecture 10: Games in
Algorithmic Game Theory and Applications Lecture 10: Games in

Homework 10 1. For this question, use the extensive form game
Homework 10 1. For this question, use the extensive form game

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a ppt file

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Othello Artificial Intelligence With Machine Learning

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Kevin_Noonan_AIProject

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Game Instructions – Chinese Checkers

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Rational decisions in non-probabilistic setting

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Chapter 15: Game Theory: The Mathematics of Competition Lesson

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Artificial Intelligence in Game Design

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Presentation - InterSys Lab

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Question paper 2014

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GAME THEORY A game represents a competitive or

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Mathematics and Cybercrime

... program for playing Reversi/Othello - Searching the game state tree using the minimax algorithm with alpha-beta pruning ...
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Math 280 Solutions for September 18

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Minimax

Minimax (sometimes MinMax or MM) 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. 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.
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