<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-17T18:22:29Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/5203" metadataPrefix="mods">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/5203</identifier><datestamp>2024-05-13T10:37:25Z</datestamp><setSpec>com_10259_3830</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_3832</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
<mods:name>
<mods:namePart>Sandholm, William H.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Izquierdo, Segismundo S.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Izquierdo Millán, Luis Rodrigo</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2020-01-09T12:20:59Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2020-01-09T12:20:59Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2020-01</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="issn">0022-0531</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/5203</mods:identifier>
<mods:identifier type="doi">10.1016/j.jet.2019.104957</mods:identifier>
<mods:abstract>We study a family of population game dynamics under which each revising agent randomly selects a set of strategies according to a given test-set rule; tests each strategy in this set a fixed number of times, with each play of each strategy being against a newly drawn opponent; and chooses the strategy whose total payoff was highest, breaking ties according to a given tie-breaking rule. These dynamics need not respect dominance and related properties except as the number of trials become large. Strict Nash equilibria are rest points but need not be stable. We provide a variety of sufficient conditions for stability and for instability, and illustrate their use through a range of applications from the literature.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by-nc-nd/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution-NonCommercial-NoDerivatives 4.0 Internacional</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:subject>
<mods:topic>Evolutionary game dynamics</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Best experienced payoff dynamics</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Sampling dynamics</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Dynamic stability</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Stability for best experienced payoff dynamics</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
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