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Simple Adaptive Strategies From Regretmatching To Uncoupled Dynamics Sergiu Hart

  • SKU: BELL-4685390
Simple Adaptive Strategies From Regretmatching To Uncoupled Dynamics Sergiu Hart
$ 31.00 $ 45.00 (-31%)

4.4

102 reviews

Simple Adaptive Strategies From Regretmatching To Uncoupled Dynamics Sergiu Hart instant download after payment.

Publisher: World Scientific Publishing Company
File Extension: PDF
File size: 2.29 MB
Pages: 336
Author: Sergiu Hart, Andreu Mas-Colell
ISBN: 9789814390699, 9814390690
Language: English
Year: 2013

Product desciption

Simple Adaptive Strategies From Regretmatching To Uncoupled Dynamics Sergiu Hart by Sergiu Hart, Andreu Mas-colell 9789814390699, 9814390690 instant download after payment.

This volume collects almost two decades of joint work of Sergiu Hart and Andreu Mas-Colell on game dynamics and equilibria. The starting point was the introduction of the adaptive strategy called regret-matching, which on the one hand is simple and natural, and on the other is shown to lead to correlated equilibria. This initial finding — boundedly rational behavior that yields fully rational outcomes in the long run — generated a large body of work on the dynamics of simple adaptive strategies. In particular, a natural condition on dynamics was identified: uncoupledness, whereby decision-makers do not know each other's payoffs and utilities (so, while chosen actions may be observable, the motivations are not). This condition turns out to severely limit the equilibria that can be reached. Interestingly, there are connections to the behavioral and neurobiological sciences and also to computer science and engineering (e.g., via notions of "regret").

Simple Adaptive Strategies is self-contained and unified in its presentation. Together with the formal treatment of concepts, theorems, and proofs, significant space is devoted to informal explanations and illuminating examples. It may be used for advanced graduate courses — in game theory, economics, mathematics, computer science, engineering — and for further research.

Readership: Graduate students and researchers in game theory, economic theory, econometrics, computer science and engineering.

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