<?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>2026-06-30T04:08:37Z</responseDate><request verb="GetRecord" identifier="oai:riubu.ubu.es:10259/9649" metadataPrefix="mods">https://riubu.ubu.es/oai/request</request><GetRecord><record><header><identifier>oai:riubu.ubu.es:10259/9649</identifier><datestamp>2024-10-30T01:05:21Z</datestamp><setSpec>com_10259_3830</setSpec><setSpec>com_10259_5086</setSpec><setSpec>com_10259_2604</setSpec><setSpec>col_10259_5481</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>Izquierdo Millán, Luis Rodrigo</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Izquierdo, Segismundo S.</mods:namePart>
</mods:name>
<mods:name>
<mods:namePart>Sandholm, William H.</mods:namePart>
</mods:name>
<mods:extension>
<mods:dateAvailable encoding="iso8601">2024-10-29T11:30:54Z</mods:dateAvailable>
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<mods:extension>
<mods:dateAccessioned encoding="iso8601">2024-10-29T11:30:54Z</mods:dateAccessioned>
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<mods:originInfo>
<mods:dateIssued encoding="iso8601">2024-10-16</mods:dateIssued>
</mods:originInfo>
<mods:identifier type="isbn">979-8343435139</mods:identifier>
<mods:identifier type="uri">http://hdl.handle.net/10259/9649</mods:identifier>
<mods:identifier type="doi">10.5281/zenodo.13938501</mods:identifier>
<mods:abstract>This book is a guide to implement and analyze simple agent-based evolutionary models using NetLogo.&#xd;
&#xd;
All the models we implement are agent-based, i.e. individual agents and their interactions are explicitly represented in the models. To formalise agents’ interactions we use the basic framework of Evolutionary Game Theory.&#xd;
&#xd;
NetLogo is a multi-agent programmable modeling environment used by hundreds of thousands of students, teachers and researchers all around the globe. No coding experience is necessary to fully understand the contents of this book.</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">Atribución 4.0 Internacional</mods:accessCondition>
<mods:subject>
<mods:topic>Probability and statistics</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Mathematical modelling</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Stochastics</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Evolution</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Computer programming / software engineering</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Object-oriented programming (OOP)</mods:topic>
</mods:subject>
<mods:subject>
<mods:topic>Computer modelling and simulation</mods:topic>
</mods:subject>
<mods:titleInfo>
<mods:title>Agent-Based Evolutionary Game Dynamics: a guide to implement and analyze Agent-Based Models within the framework of Evolutionary Game Theory</mods:title>
</mods:titleInfo>
<mods:genre>info:eu-repo/semantics/book</mods:genre>
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