<?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>2026-04-14T15:35:35Z</responseDate><request verb="GetRecord" identifier="oai:uvadoc.uva.es:10324/37883" metadataPrefix="mods">https://uvadoc.uva.es/oai/request</request><GetRecord><record><header><identifier>oai:uvadoc.uva.es:10324/37883</identifier><datestamp>2025-01-29T09:38:31Z</datestamp><setSpec>com_10324_1146</setSpec><setSpec>com_10324_931</setSpec><setSpec>com_10324_894</setSpec><setSpec>col_10324_1263</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>Cabo García, Francisco José</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>García González, Ana</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Molpeceres Abellá, María Mercedes</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2019-09-11T15:30:41Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2019-09-11T15:30:41Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2020</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="citation">Pierre-Olivier Pineau, Simon Sigué &amp; Sihem Taboubi. Games in Management Science - 2020. Essays in Honor of Georges Zaccour. 2020, p. 283-313.</mods:identifier>
<mods:identifier type="isbn">978-3-030-19107-8</mods:identifier>
<mods:identifier type="uri">http://uvadoc.uva.es/handle/10324/37883</mods:identifier>
<mods:identifier type="publicationfirstpage">283</mods:identifier>
<mods:identifier type="publicationlastpage">313</mods:identifier>
<mods:abstract>This paper studies a two-population evolutionary game in a new setting&#xd;
in between a symmetric and an asymmetric evolutionary model. It distinguishes two&#xd;
types of agents: Sanchos, whose payoffs are defined by a prisoner’s dilemma game,&#xd;
and Quixotes, whose payoffs are defined by a snowdrift game. Considering an imita-&#xd;
tive revision protocol, a revising agent is paired with someone from his own popula-&#xd;
tion or the other population. When matched, they observe payoffs, but not identities.&#xd;
Thus, agents in one population interact and imitate agents from their own population&#xd;
and from the other population. In this setting we prove that a unique mixed-strategy&#xd;
asymptotically stable fixed point of the evolutionary dynamics exists. Taking as an&#xd;
example the compliance with social norms, and depending on the parameters, two&#xd;
type of equilibrium are possible, one with full compliance among Quixotes and par-&#xd;
tial compliance among Sanchos, or another with partial compliance among Quixotes&#xd;
and defection among Sanchos. In the former type, Sanchos comply above their Nash&#xd;
equilibrium (as they imitate compliant Quixotes). In the latter type, Quixotes comply&#xd;
below their Nash equilibrium (as they imitate defecting Sanchos).</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:titleInfo>
<mods:title>Compliance with Social Norms as an Evolutionary Stable Equilibrium</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/bookPart</mods:genre>
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