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Static Games
Static Games

Game Theory and Natural Language
Game Theory and Natural Language

Kin selection and Evolution of Sympathy
Kin selection and Evolution of Sympathy

Artificial Intelligence - Midterm Examination Solutions Winter 2010
Artificial Intelligence - Midterm Examination Solutions Winter 2010

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Algorithmic Rationality: Adding Cost of Computation to Game Theory

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Mixed Nash Equilibria 1 Normal Form Game 2 Pure Nash Equilibrium

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Applications of the Chen-Stein method to random graphs

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Tron AI - School of Computer Science

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game theory.
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The position value is the Myerson value, in a sense

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Relational Contracts1

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Extended breadth-first search algorithm in practice

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14.12 Game Theory Lecture Notes Lectures 15-18

... is a subgame with a unique rationalizable strategy profile: 2 plays T and 3 plays R. Anticipating this, player 1 must play E. Now consider the strategy profile (X,T,L), in which player 1 plays X, 2 plays T, and 3 plays L, and assume that, at his information set, player 3 assigns probability 1 to the ...
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Game Theory - Mr. P. Ronan

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Lecture notes - MIT OpenCourseWare

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... Is the probability distribution a discrete distribution? Why? Choose the correct answer below: a) No, because some of the probabilities have values greater than 1 or less than 0 b) No, because the total probability is not equal to 1 c) Yes, because the probabilities sum to 1 and are all between 0 an ...
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Chapter 4 Sequential Games

The Implementation of Artificial Intelligence and Temporal Difference
The Implementation of Artificial Intelligence and Temporal Difference

... Simple domains, simple heuristics ...
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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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