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      <pub-date>
        <year>2023</year>
      </pub-date>
      <abstract>
        <p>CO-LOCATED WITH THE TWENTIETH INTERNATIONAL CONFERENCE ON PRINCIPLES OF KNOWLEDGE REPRESENTATION AND REASONING (KR 2023) EDITED BY OANA COCARASCU SYLVIE DOUTRE JEAN-GUY MAILLY ANTONIO RAGO</p>
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      <title>-</title>
      <p>WORKSHOP ON ARGUMENTATION AND</p>
      <p>APPLICATIONS
(ARG&amp;APP 2023)
In recent years, the increasing availability of data and computational power
has driven a remarkable proliferation of Artificial Intelligence (AI) systems in
everyday users’ lives. However, as data-driven AI systems have become
commonplace, it has become increasingly clear that fields from symbolic AI have
important roles to play in the future development of these systems, with one
such candidate being Computational Argumentation. Formal models of
argumentation have received a significant amount of attention in recent years,
both within the Knowledge Representation and Reasoning community and
from AI researchers in general. Given that argumentation is a mature
discipline, it provides not only a wealth of theoretical formalisms suitable for
a wide range of tasks, but a whole host of software instantiating these
formalisms for real world settings. These strengths mean that argumentation is
particularly adaptable to various application domains, e.g. cyber-democracy,
explainable AI, law, medicine, multi-agent systems, public policy making,
sustainable development, etc. The goal of this workshop was to emphasise
the efforts of the community in this spirit and strengthen the links between
formal works on argumentation, their implementations and these domains of
application.</p>
      <p>The workshop received 11 submissions, and we accepted 8 papers on
diverse applications of argumentation. They cover a range of topics from the
formal foundations of argumentation when deployed in a particular context,
to demonstrations of application-driven, argumentative systems. The
proceedings also include an invited paper describing the ICCMA 2023
competition. We hope that the works presented in the proceedings appeal not only
to the growing argumentation community, but also to researchers in general
who intend to use computational argumentation in their own applications.</p>
      <p>We thank all the authors, the invited speakers Antonis Kakas, Tuomo
Lehtonen and Andreas Niskanen, as well as the program committee
members (listed below), for their valued contributions to the workshop.</p>
    </sec>
    <sec id="sec-2">
      <title>September 2023 1</title>
    </sec>
    <sec id="sec-3">
      <title>Oana Cocarascu Sylvie Doutre Jean-Guy Mailly Antonio Rago</title>
      <p>Program Committee
• Leila Amgoud (IRIT, CNRS, Toulouse)
• Katie Atkinson (University of Liverpool)
• Floris Bex (Utrecht University)
• Elena Cabrio (University Côte d’Azur)
• Madalina Croitoru (University of Montpellier, LIRMM)
• Anthony Hunter (University College London)
• Antonis Kakas (University of Cyprus)
• Santiago Marro (Universiy Côte d’Azur)
• Nir Oren (University of Aberdeen)
• Fabio Paglieri (ISTC-CNR, Rome)
• Simon Parsons (University of Lincoln)
• Guilherme Paulino-Passos (Imperial College London)
• Nico Potyka (Imperial College London)
• Matthias Thimm (FernUniversität Hagen)
• Rallou Thomopolous (INRAE, Montpellier)
• Francesca Toni (Imperial College London)
• Srdjan Vesic (CRIL, CNRS, Lens)</p>
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  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <article-title>1 Design of ICCMA 2023 - 5th International Competition on Computational Models of Argumentation:</article-title>
          A Preliminary
          <string-name>
            <surname>Report (M. Järvisalo</surname>
            and
            <given-names>T.</given-names>
          </string-name>
          <string-name>
            <surname>Lehtonen</surname>
            and
            <given-names>A. Niskanen) 4</given-names>
          </string-name>
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          2
          <string-name>
            <given-names>Stable</given-names>
            <surname>Semantics for Epistemic Abstract Argumentation Framework (G. Alfano</surname>
          </string-name>
          and
          <string-name>
            <given-names>S.</given-names>
            <surname>Greco</surname>
          </string-name>
          and
          <string-name>
            <given-names>F.</given-names>
            <surname>Parisi</surname>
          </string-name>
          and
          <string-name>
            <surname>I. Trubitsyna) 11</surname>
          </string-name>
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          <article-title>3 Argumentative information improves automatic generation of counter-narratives against Hate Speech (D. A</article-title>
          . Furman and
          <string-name>
            <given-names>P.</given-names>
            <surname>Torres</surname>
          </string-name>
          and
          <string-name>
            <given-names>J. A.</given-names>
            <surname>Rodríguez</surname>
          </string-name>
          and
          <string-name>
            <given-names>D.</given-names>
            <surname>Letzen</surname>
          </string-name>
          and
          <string-name>
            <given-names>M. V.</given-names>
            <surname>Martínez</surname>
          </string-name>
          and
          <string-name>
            <given-names>L. A.</given-names>
            <surname>Alemany</surname>
          </string-name>
          )
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          <article-title>4 ArguCast: A System for Online Multi-Forecasting with Gradual Argumentation (D. Gorur and</article-title>
          <string-name>
            <given-names>A.</given-names>
            <surname>Rago</surname>
          </string-name>
          and
          <string-name>
            <given-names>F.</given-names>
            <surname>Toni</surname>
          </string-name>
          )
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          5
          <string-name>
            <given-names>A New</given-names>
            <surname>Evolutive</surname>
          </string-name>
          <article-title>Generator for Graphs with Communities and its Application to Abstract</article-title>
          <string-name>
            <surname>Argumentation (J.-M. Lagniez</surname>
            and
            <given-names>E.</given-names>
          </string-name>
          <string-name>
            <surname>Lonca</surname>
            and
            <given-names>J.-G.</given-names>
          </string-name>
          <string-name>
            <surname>Mailly</surname>
          </string-name>
          and J. Rossit)
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          <article-title>6 ADP : An Argumentation-based Decision Process Framework Applied to the Modal Shift Problem (C. Leturc</article-title>
          and
          <string-name>
            <given-names>F.</given-names>
            <surname>Balbo</surname>
          </string-name>
          )
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          <article-title>7 A Discussion of Challenges in Benchmark Generation for Abstract Argumentation (I. Kuhlmann and</article-title>
          M. Thimm)
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          8 Abstract Argumentation Applied to Fair Resources Allocation:
          <string-name>
            <given-names>A Preliminary</given-names>
            <surname>Study (J.-G</surname>
          </string-name>
          . Mailly)
          <volume>26</volume>
          40
          <fpage>52</fpage>
          65 78 85
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          9
          <string-name>
            <given-names>Accessible</given-names>
            <surname>Algorithms for Applied Argumentation (D. Odekerken</surname>
          </string-name>
          and
          <string-name>
            <given-names>A.</given-names>
            <surname>Borg</surname>
          </string-name>
          and M. Berthold)
          <volume>92</volume>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
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