Research Article Details
| Article ID: | A33850 |
| PMID: | 25024197 |
| Source: | Proc Natl Acad Sci U S A |
| Title: | Recency, consistent learning, and Nash equilibrium. |
| 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. |
| DOI: | 10.1073/pnas.1400987111 |
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