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Theory of Games and Economic Behavior: 60th Anniversary Commemorative Edition
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|April 8, 2007

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This is the classic work upon which modern-day game theory is based. What began more than sixty years ago as a modest proposal that a mathematician and an economist write a short paper together blossomed, in 1944, when Princeton University Press published Theory…
Contributions to the Theory of Games (AM-24), Volume I: Contributions To The Theor-v01
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The description for this book, Contributions to the Theory of Games (AM-24), Volume I, will be forthcoming.
Proceedings of the Princeton Symposium on Mathematical Programming
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|April 19, 2016

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This volume contains thirty-three selected general research papers devoted to the theory and application of the mathematics of constrained optimization, including linear programming and its extensions to convex programming, general nonlinear programming, integer…
The Essential John Nash
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|March 18, 2007

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When John Nash won the Nobel prize in economics in 1994, many people were surprised to learn that he was alive and well. Since then, Sylvia Nasar's celebrated biography A Beautiful Mind , the basis of a new major motion picture, has revealed the man. The…
Classics in Game Theory
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|February 6, 1997

$101.99

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Classics in Game Theory assembles in one sourcebook the basic contributions to the field that followed on the publication of Theory of Games and Economic Behavior by John von Neumann and Oskar Morgenstern (Princeton, 1944). The theory of games, first given a…
Linear Inequalities and Related Systems. (AM-38), Volume 38: Linear Inequalities & Related
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The description for this book, Linear Inequalities and Related Systems. (AM-38), Volume 38, will be forthcoming.
Contributions to the Theory of Games (AM-28), Volume II: Contributions To The Theor-vo2
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These two new collections, numbers 28 and 29 respectively in the Annals of Mathematics Studies, continue the high standard set by the earlier Annals Studies 20 and 24 by bringing together important contributions to the theories of games and of nonlinear…