<div dir="ltr"><div dir="ltr"><div dir="ltr"><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;vertical-align:baseline"><b><span style="font-size:14pt;letter-spacing:-0.1pt">ArgML22 Call for Papers<span></span></span></b></p><p class="MsoNormal" style="margin-bottom:42pt;line-height:21pt;vertical-align:baseline"><span style="font-size:14pt">1st International Workshop on Argumentation and Machine Learning @COMMA
2022<span></span></span></p><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;color:black;letter-spacing:-0.1pt">Important Dates</span></b><b><span style="font-size:14pt;letter-spacing:-0.1pt"><span></span></span></b></p><ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">When: 13 September
2022</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Where: Cardiff,
Wales, UK</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Submission Deadline:
23:59 (BST) 8 July 2022</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Notification Due: 8 August
2022</span><span style="font-size:14pt"><span></span></span></li>
</ul><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;letter-spacing:-0.1pt"> </span></b></p><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;color:black;letter-spacing:-0.1pt">Details</span></b><b><span style="font-size:14pt;letter-spacing:-0.1pt"><span></span></span></b></p><p class="MsoNormal" style="margin-bottom:24pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">The
significant strides made by subsymbolic machine learning (ML) methods in recent
times has led some to adopt the perspective that symbolic methods, or “good
old-fashioned AI”, are becomming less relevant. However, there is a growing interest
in synergistic AI systems that incorporate both subsymbolic and symbolic
processes. Argumentation, as a symbolic model for effective human reasoning,
offers many theoretical and practical opportunities for developing effective
synergy. For instance, Argumentation Theory can substantially enhance the
application of ML methods to various domains – such as discourse analysis, law,
forensic analysis, to name just a few – by constraining the derivation of a
solution to follow a justifiable and auditable process, in accordance with
expert domain knowledge. The desire to build explainable AI (XAI) systems, that
are tractable to human understanding and interaction, also presents an
intuitive and fertile ground for argumentation-based systems to have a significant
role. In turn, the challenges of establishing effective argumentation-based
systems – such as (but not limited to) costly reliance on expert judgement,
noise intolerance and brittle models, knowledge acquisition – may be
significantly ameliorated by successfully embracing data-driven ML methods.
Embracing ML methods presents an opportunity to draw from their effective use
of computational resources, with the potential to vastly increase the
scalability of argumentation-based methods in the age of big data. This
workshop solicits contributions to meet these aims.</span><span style="font-size:14pt"><span></span></span></p><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;letter-spacing:-0.1pt"> </span></b></p><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;color:black;letter-spacing:-0.1pt">List of Topics</span></b><b><span style="font-size:14pt;letter-spacing:-0.1pt"><span></span></span></b></p><ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Machine
Learning-driven Reasoning Algorithms</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Neural-symbolic
Learning</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Explainable AI</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Machine Learning and
Argumentation for Agents and Multi-agent Systems</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Learning Symbolic
Abstractions from Unstructured Data</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Machine Learning
Applications in Argumentation</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Knowledge-driven
Decision Making</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Architectures that
Combine Data-driven Techniques and Formal Reasoning</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Expressive Power of
Learning Representations</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Machine Learning for
Efficient Knowledge Inference</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Learning Causal
Models</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Machine Learning and
Argumentation in Robotics</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Applications of
Argumentation and Machine Learning in Law, Medicine, Finance, Policy Security,
etc.</span><span style="font-size:14pt"><span></span></span></li>
</ul><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;letter-spacing:-0.1pt"> </span></b></p><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;color:black;letter-spacing:-0.1pt">Submission Instructions</span></b><b><span style="font-size:14pt;letter-spacing:-0.1pt"><span></span></span></b></p><ul style="margin-top:0cm" type="disc">
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Full papers: 12 pages
+ references</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Short/Position
papers: 6 pages + references</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Submissions are NOT
anonymous. The names and affiliations of the authors should be stated in
the manuscript.</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">All papers must be
original and not simultaneously submitted to another journal or
conference.</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">All papers should be
formatted following the <a href="https://www.iospress.com/book-article-instructions" target="_blank"><span style="color:black;border:1pt none windowtext;padding:0cm;text-decoration-line:none">IOS Press style</span></a> and submitted through
the EasyChair link accessed via the submission button at the bottom of the
page.</span><span style="font-size:14pt"><span></span></span></li>
<li class="MsoNormal" style="margin-bottom:0cm;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">At least one of the
authors will be required to <a href="https://comma22.cs.cf.ac.uk/registration.html" target="_blank"><span style="color:black;border:1pt none windowtext;padding:0cm;text-decoration-line:none">register and attend the COMMA conference</span></a> to
present the paper in order for it to be included in the workshop
proceedings.</span><span style="font-size:14pt"><span></span></span></li>
</ul><p class="MsoNormal" style="margin-bottom:12pt;line-height:18pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;color:black;letter-spacing:-0.1pt">Publication</span></b><b><span style="font-size:14pt;letter-spacing:-0.1pt"><span></span></span></b></p><p class="MsoNormal" style="margin-bottom:24pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">ArgML papers
will be published in CEUR-WS proceedings.</span><span style="font-size:14pt"><span></span></span></p><p class="MsoNormal" style="margin-bottom:24pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><b><span style="font-size:14pt;color:black;letter-spacing:-0.1pt">Contact</span></b><span style="font-size:14pt;color:black"> </span><span style="font-size:14pt"><span></span></span></p><p class="MsoNormal" style="margin-bottom:24pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">Jack Mumford </span></p><p class="MsoNormal" style="margin-bottom:24pt;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;vertical-align:baseline"><span style="font-size:14pt;color:black">email: jack[dot]mumford[at]<a href="http://liverpool.ac.uk">liverpool.ac.uk</a></span><span style="font-size:14pt"><span></span></span></p><p class="MsoNormal" style="margin-bottom:12pt;vertical-align:baseline">
</p><p class="MsoNormal"><span> </span></p></div></div></div>