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Papers in Game Theory

Overview of attention for book
Cover of 'Papers in Game Theory'

Table of Contents

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    Book Overview
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    Chapter 1 Approaches to the Bargaining Problem before and after the Theory of Games: A Critical Discussion of Zeuthen’s, Hicks’, and Nash’s Theories
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    Chapter 2 On the Rationality Postulates Underlying the Theory of Cooperative Games
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    Chapter 3 A Simplified Bargaining Model for the n -Person Cooperative Game
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    Chapter 4 Games with Randomly Disturbed Payoffs: A New Rationale for Mixed-Strategy Equilibrium Points
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    Chapter 5 Oddness of the Number of Equilibrium Points: A New Proof
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    Chapter 6 Games with Incomplete Information Played by “Bayesian” Players, I–III Part I. The Basic Model
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    Chapter 7 Games with Incomplete Information Played by “Bayesian” Players
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    Chapter 8 Games with Incomplete Information Played by “Bayesian” Players
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    Chapter 9 Uses of Bayesian Probability Models in Game Theory
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    Chapter 10 An Equilibrium-Point Interpretation of Stable Sets and a Proposed Alternative Definition
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    Chapter 11 A New General Solution Concept for Both Cooperative and Noncooperative Games
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    Chapter 12 Rule Utilitarianism, Rights, Obligations and the Theory of Rational Behavior
Attention for Chapter 6: Games with Incomplete Information Played by “Bayesian” Players, I–III Part I. The Basic Model
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Chapter title
Games with Incomplete Information Played by “Bayesian” Players, I–III Part I. The Basic Model
Chapter number 6
Book title
Papers in Game Theory
Published by
Springer, Dordrecht, January 1982
DOI 10.1007/978-94-017-2527-9_6
Book ISBNs
978-9-04-818369-2, 978-9-40-172527-9
Authors

John C. Harsanyi, Harsanyi, John C.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Master 1 33%
Unknown 1 33%
Readers by discipline Count As %
Computer Science 2 67%
Social Sciences 1 33%

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