Mathematical Foundations of Game Theory

This book gives a concise presentation of the mathematical foundations of Game Theory, with an emphasis on strategic analysis linked to information and dynamics. It is largely self-contained, with all of the key tools and concepts defined in the text. Combining the basics of Game Theory, such as val...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Laraki, Rida (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Renault, Jérôme (http://id.loc.gov/vocabulary/relators/aut), Sorin, Sylvain (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Universitext,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Mathematical Foundations of Game Theory  |h [electronic resource] /  |c by Rida Laraki, Jérôme Renault, Sylvain Sorin. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XVII, 229 p. 47 illus.  |b online resource. 
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505 0 |a 1 Introduction -- 2 Zero-Sum Games: the Finite Case -- 3 Zero-Sum Games: the General Case -- 4 N-Player games: Rationality and Equilibria -- 5 Equilibrium Manifolds and Dynamics -- 6 Games in Extensive Form -- 7 Correlated Equilibria, Learning, Bayesian Equilibria -- 8 Introduction to Repeated Games -- 9 Solutions to the Exercises -- References. . 
520 |a This book gives a concise presentation of the mathematical foundations of Game Theory, with an emphasis on strategic analysis linked to information and dynamics. It is largely self-contained, with all of the key tools and concepts defined in the text. Combining the basics of Game Theory, such as value existence theorems in zero-sum games and equilibrium existence theorems for non-zero-sum games, with a selection of important and more recent topics such as the equilibrium manifold and learning dynamics, the book quickly takes the reader close to the state of the art. Applications to economics, biology, and learning are included, and the exercises, which often contain noteworthy results, provide an important complement to the text. Based on lectures given in Paris over several years, this textbook will be useful for rigorous, up-to-date courses on the subject. Apart from an interest in strategic thinking and a taste for mathematical formalism, the only prerequisite for reading the book is a solid knowledge of mathematics at the undergraduate level, including basic analysis, linear algebra, and probability. . 
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650 0 |a Mathematical optimization. 
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