<?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>2026-04-14T04:27:30Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/394838" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/394838</identifier><datestamp>2025-07-23T05:26:04Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452951</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Integration of social values in a multi-agent platform running in a supercomputer</dc:title>
   <dc:creator>Bolea Pérez, David</dc:creator>
   <dc:contributor>Universitat Politècnica de Catalunya. Departament de Ciències de la Computació</dc:contributor>
   <dc:contributor>Vázquez Salceda, Javier</dc:contributor>
   <dc:contributor>Álvarez Napagao, Sergio</dc:contributor>
   <dc:subject>Àrees temàtiques de la UPC::Informàtica::Arquitectura de computadors</dc:subject>
   <dc:subject>Supercomputers</dc:subject>
   <dc:subject>Multiagent systems</dc:subject>
   <dc:subject>Supercomputadors</dc:subject>
   <dc:subject>Sistemes multiagent</dc:subject>
   <dc:description>Agent-based modelling is one of the most suitable ways to simulate and analyse complex&#xd;
problems and scenarios, especially those involving social interactions. Multi-agent systems, consisting&#xd;
of multiple agents in a simulation environment, are widely used to understand emergent behaviour in&#xd;
various fields such as sociology, economics and policy.&#xd;
However, existing multi-agent platforms often face challenges in terms of scalability and&#xd;
reasoning capacity. Some platforms can scale well in terms of computation, but lack sophisticated&#xd;
reasoning mechanisms. On the other hand, some platforms employ complex reasoning systems, but&#xd;
this can compromise their scalability.&#xd;
In this work, we have extended an existing platform developed at UPC that enables scalable,&#xd;
parallel HTN planning for complex agents. Our main goal has been to improve the analysis of social&#xd;
relationships between agents by incorporating moral values.&#xd;
Building on previous work done by David Marín on the implementation of the platform, we&#xd;
have made extensions and modifications both formally and in the implementation. We have&#xd;
formalised the additions to the system model and provided an updated implementation.&#xd;
Finally, we have presented a complex example scenario that demonstrates all the additions we&#xd;
have made. This scenario allows us to show how agents' preferences and moral values influence their&#xd;
decisions and actions in a simulated environment. Through this work, we have sought to improve the&#xd;
existing platform and fulfil the spirit and purpose of the platform.</dc:description>
   <dc:date>2023-06-27</dc:date>
   <dc:type>Bachelor thesis</dc:type>
   <dc:identifier>https://hdl.handle.net/2117/394838</dc:identifier>
   <dc:identifier>178983</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>Open Access</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>Universitat Politècnica de Catalunya</dc:publisher>
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