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. 2014 Jul 22;111 Suppl 3(Suppl 3):10826-9.
doi: 10.1073/pnas.1400987111. Epub 2014 Jul 14.

Recency, consistent learning, and Nash equilibrium

Drew Fudenberg  1 , David K Levine  2
Affiliations

Recency, consistent learning, and Nash equilibrium

Drew Fudenberg et al. Proc Natl Acad Sci U S A. .

Abstract

We examine the long-term implication of two models of learning with recency bias: recursive weights and limited memory. We show that both models generate similar beliefs and that both have a weighted universal consistency property. Using the limited-memory model we produce learning procedures that both are weighted universally consistent and converge with probability one to strict Nash equilibrium.

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Conflict of interest statement

The authors declare no conflict of interest.

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