Recency, consistent learning, and Nash equilibrium
Recency, consistent learning, and Nash equilibrium
About this item
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Publisher
United States: National Academy of Sciences
Journal title
Language
English
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Publisher
United States: National Academy of Sciences
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Scope and Contents
Contents
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 conver...
Alternative Titles
Full title
Recency, consistent learning, and Nash equilibrium
Authors, Artists and Contributors
Author / Creator
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TN_cdi_proquest_journals_1558323175
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1558323175
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.1400987111
