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PPT - UNC Computer Science
PPT - UNC Computer Science

STATIC GAMES OF INCOMPLETE INFORMATION
STATIC GAMES OF INCOMPLETE INFORMATION

Algorithmic Game Theory Fall 2016-2017 Exercises 3 15. Consider
Algorithmic Game Theory Fall 2016-2017 Exercises 3 15. Consider

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sumL14 - CIS @ Temple University

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Chapter 16: Game Theory - MCCC Faculty & Staff Web Pages

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THE NUCLEOLUS AND THE SHAPLEY VALUE

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Economics 203: Section 5

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Even More Games

... Two players play a game on an m × n chocolate bar made up of small squares. The players take turns choosing a square and eating it, together with all the squares below it and to the right. The top left square is poisoned: the player who eats it, loses. 1. Show that the first player has a winning str ...
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CUR 412: Game Theory and its Applications Final

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Lecture 7: Game-Playing and Search

repeated games - Duke Computer Science
repeated games - Duke Computer Science

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A Brief History of Game Theory

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CSE4AT3 - AI and AS

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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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