Internal correlation in repeated games
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Publication:1814186
DOI10.1007/BF01766432zbMath0747.90119MaRDI QIDQ1814186
Publication date: 25 June 1992
Published in: International Journal of Game Theory (Search for Journal in Brave)
incomplete informationinformation structurefolk theoremsNash equilibrium payoffstwo-player, undiscounted, infinitely repeated games
Related Items (23)
Correlated equilibria of two person repeated games with random signals ⋮ Learning the state of nature in repeated games with incomplete information and signals ⋮ Subjective games and equilibria ⋮ Less is more: an observability paradox in repeated games ⋮ Mediated talk ⋮ Transforming monitoring structures with resilient encoders -- application to repeated games ⋮ What you get is what you see: cooperation in repeated games with observable payoffs ⋮ Correlation and unmediated cheap talk in repeated games with imperfect monitoring ⋮ Communication in Cournot oligopoly ⋮ When (not) to publicize inspection results ⋮ A detail-free mediator ⋮ Unmediated communication in repeated games with imperfect monitoring. ⋮ Comparison of information structures ⋮ An approximate folk theorem with imperfect private information ⋮ On the equilibrium payoffs set of two player repeated games with imperfect monitoring ⋮ Correlated Equilibria and Communication in Games ⋮ Repeated Games with Complete Information ⋮ The folk theorem for repeated games with observation costs ⋮ The truth behind the myth of the folk theorem ⋮ Secure protocols of how communication generates correlation ⋮ On non-Nash equilibria ⋮ Nash equilibria of repeated games with observable payoff vectors ⋮ How to play with a biased coin?
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- An approximate folk theorem with imperfect private information
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- Nash equilibria of \(n\)-player repeated games with semi-standard information
- Universal Mechanisms
- Repeated Partnership Games with Imperfect Monitoring and No Discounting
- Two-Player Repeated Games with Nonobservable Actions and Observable Payoffs
- The Folk Theorem in Repeated Games with Discounting or with Incomplete Information
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