<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/CINECAstyle.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>2026-06-07T13:53:34Z</responseDate><request verb="GetRecord" identifier="oai:iris.cnr.it:20.500.14243/582225" metadataPrefix="oai_dc">https://iris.cnr.it/oai/request</request><GetRecord><record><header><identifier>oai:iris.cnr.it:20.500.14243/582225</identifier><datestamp>2026-05-20T00:23:01Z</datestamp><setSpec>ou_ou239</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
<dc:title>A NetLogo Tool for Exploring Value-Based Argumentation in Public Interest Communication</dc:title>
<dc:creator>Pietro Baroni</dc:creator>
<dc:creator>Giulio Fellin</dc:creator>
<dc:creator>Massimiliano Giacomin</dc:creator>
<dc:creator>Carlo Proietti</dc:creator>
<dc:contributor>Mario Alviano, Bettina Fazzinga</dc:contributor>
<dc:contributor>Baroni, Pietro</dc:contributor>
<dc:contributor> Fellin, Giulio</dc:contributor>
<dc:contributor> Giacomin, Massimiliano</dc:contributor>
<dc:contributor> Proietti, Carlo</dc:contributor>
<dc:subject>Computational Argumentation</dc:subject>
<dc:subject> NetLogo</dc:subject>
<dc:subject> Public Interest Communication</dc:subject>
<dc:subject> Value-Based Argumentation</dc:subject>
<dc:subject> Vector-Based Model</dc:subject>
<dc:subject> Voting Models</dc:subject>
<dc:description>We present a NetLogo-based tool for simulating how public interest arguments influence diverse audiences over time. Extending a previous theoretical model, agents are assigned profiles represented by value vectors that evolve through interaction with neighbours, capturing social influence dynamics. The tool computes the variation over time of the persuasive impact of arguments on the population on the basis of these evolving profiles. While the model simplifies argument exposure as continuous and uniform, it offers a foundation for more realistic simulations incorporating multiple arguments and competing campaigns in future work.</dc:description>
<dc:date>2025</dc:date>
<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
<dc:identifier>https://hdl.handle.net/20.500.14243/582225</dc:identifier>
<dc:identifier>info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-105017584074</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>ispartofbook:AI^3 2025, Advances in Argumentation in Artificial Intelligence</dc:relation>
<dc:relation>9th Workshop on Advances in Argumentation in Artificial Intelligence, AI^3 2025</dc:relation>
<dc:relation>volume:4025</dc:relation>
<dc:relation>firstpage:84</dc:relation>
<dc:relation>lastpage:89</dc:relation>
<dc:relation>numberofpages:6</dc:relation>
<dc:relation>serie:CEUR WORKSHOP PROCEEDINGS</dc:relation>
<dc:format>ELETTRONICO</dc:format>
<dc:publisher>CEUR WS</dc:publisher>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>