<?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>2026-07-19T20:43:57Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/3911" metadataPrefix="mods">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/3911</identifier><datestamp>2024-05-13T09:58:15Z</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>Poza, David J.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Santos Martín, José Ignacio</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Galán Ordax, José Manuel</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>López Paredes, Adolfo</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2016-01-26T12:00:43Z</mods:dateAvailable>
</mods:extension>
<mods:extension>
<mods:dateAccessioned encoding="iso8601">2016-01-26T12:00:43Z</mods:dateAccessioned>
</mods:extension>
<mods:originInfo>
<mods:dateIssued encoding="iso8601">2011-03</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="issn">1932-6203</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/3911</mods:identifier>
<mods:identifier type="doi">10.1371/journal.pone.0017661</mods:identifier>
<mods:abstract>The effect of spatial structure has been proved very relevant in repeated games. In this work we propose an agent based&#xd;
model where a fixed finite population of tagged agents play iteratively the Nash demand game in a regular lattice. The&#xd;
model extends the multiagent bargaining model by Axtell, Epstein and Young [1] modifying the assumption of global&#xd;
interaction. Each agent is endowed with a memory and plays the best reply against the opponent’s most frequent demand.&#xd;
We focus our analysis on the transient dynamics of the system, studying by computer simulation the set of states in which&#xd;
the system spends a considerable fraction of the time. The results show that all the possible persistent regimes in the global&#xd;
interaction model can also be observed in this spatial version. We also find that the mesoscopic properties of the interaction&#xd;
networks that the spatial distribution induces in the model have a significant impact on the diffusion of strategies, and can&#xd;
lead to new persistent regimes different from those found in previous research. In particular, community structure in the&#xd;
intratype interaction networks may cause that communities reach different persistent regimes as a consequence of the&#xd;
hindering diffusion effect of fluctuating agents at their borders.</mods:abstract>
<mods:language>
<mods:languageTerm>eng</mods:languageTerm>
</mods:language>
<mods:accessCondition type="useAndReproduction">http://creativecommons.org/licenses/by/4.0/</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">info:eu-repo/semantics/openAccess</mods:accessCondition>
<mods:accessCondition type="useAndReproduction">Attribution 4.0 International</mods:accessCondition>
<mods:titleInfo>
<mods:title>Mesoscopic effects in an agent-based bargaining model in regular lattices</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/article</mods:genre>
</mods:mods></metadata></record></GetRecord></OAI-PMH>