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<div class="PlainText">FIRST CALL FOR PAPERS<br>
<br>
ECAI 2020 Workshop<br>
"Computational Argumentation & Cognition" (COGNITAR 2020)<br>
<br>
WHEN: 9th June 2020<br>
WHERE: the 24th European Conference on Artificial Intelligence in <br>
Santiago de Compostela, in Spain (<a href="http://ecai2020.eu/" target="_blank">http://ecai2020.eu/</a>)<br>
SUBMISSION: by March 23th 2020 via COGNITAR 2020 Easychair <br>
(<a href="https://easychair.org/conferences/?conf=cognitar2020" target="_blank">https://easychair.org/conferences/?conf=cognitar2020</a>)<br>
WEBSITE: <a href="http://cognition.ouc.ac.cy/cognitar/" target="_blank">http://cognition.ouc.ac.cy/cognitar/</a><br>
<br>
==== COGNITAR: Computational Argumentation & Cognition ====<br>
<br>
Human-centric AI requires systems that are built based on a holistic<br>
understanding of the human mind and its various faculties. In particular,<br>
we need to understand in a computational way human cognition at its <br>
many different levels. Cognition in AI systems will be important at <br>
several aspects of their design:<br>
<br>
- Comprehending the data or information from their environment<br>
- Deciding on what actions to take or recommend to users.<br>
- Learning new knowledge pertaining to their problem domain.<br>
- Social interaction with human users and artificial agents.<br>
- Ensuring an ethical operation and general behavior.<br>
<br>
Understanding and automating the higher-level cognition involved in <br>
carrying out the above general tasks of human behavior, requires a </div>
<div class="PlainText">logical formalism that is close to human reasoning as carried out in
</div>
<div class="PlainText">their everyday tasks. The formalism would need a high degree of
</div>
<div class="PlainText">flexibility to allow dynamic changes and revision to conclusions drawn.
</div>
<div class="PlainText">Such a framework is that of (dialectic) argumentation as advocated
</div>
<div class="PlainText">by Philosophy and Cognitive Psychology for many years and newly
</div>
<div class="PlainText">supported by recent studies. The main premise is that argumentation
</div>
<div class="PlainText">is native to human reasoning and that it can provide a foundational<br>
basis for (higher-level) cognition and thus in turn for human-centric AI.<br>
<br>
This workshop will aim to bring together researchers whose interests </div>
<div class="PlainText">bridge between AI and other disciplines such as Cognitive Science,
</div>
<div class="PlainText">Language and Philosophy, to study how computational argumentation
</div>
<div class="PlainText">can form an underlying theoretical and practical basis for modeling
</div>
<div class="PlainText">cognition and building human-centric AI systems.<br>
<br>
The main general questions that will concern the workshop are:<br>
- Can argumentation provide the basis for computational models of </div>
<div class="PlainText">human reasoning that are cognitively adequate?<br>
- How can we form a synthesis between computational argumentation </div>
<div class="PlainText">and theories of cognition that will give us models of computational
</div>
<div class="PlainText">cognition for the development of AI systems?<br>
<br>
We welcome position papers as well as ongoing and preliminary work </div>
<div class="PlainText">on topics that bridge Cognition and Argumentation. Topics of interest
</div>
<div class="PlainText">include, but are not limited to:<br>
- Argumentation and language comprehension<br>
- Cognitive modeling of human reasoning<br>
- Computational argumentation in cognitive models<br>
- Social and collective argumentation<br>
- Argumentative structure of debates<br>
- Debate support via argumentation<br>
- Explainable AI and argumentation<br>
- Justification and debate of decisions via argumentation<br>
- Argumentation based persuasion<br>
- Ethical dilemmas and norms in AI systems and argumentation<br>
- Argumentation for perspicuous computing<br>
- Compliance of AI systems and argumentation<br>
- Human decision making and argumentation<br>
- Decision support systems via computational argumentation<br>
- Acquiring cognitive knowledge<br>
- Argumentation and inductive reasoning<br>
- Psychologically-guided design of the acquisition process<br>
- Argumentation languages for representing cognitive knowledge<br>
- Argumentation based architectures for cognitive systems<br>
- Real-life AI applications of argumentation<br>
- Psychological studies investigating argumentation-based reasoning<br>
<br>
======== SUBMISSION ========<br>
<br>
We invite proposals for contributed talks. Please submit papers, </div>
<div class="PlainText">short or long, prepared for blind review.<br>
<br>
Papers should be written using the ECAI2020 style<br>
(<a href="http://ecai2020.eu/wp-content/uploads/AuthorsPack-ECAI2020.zip" target="_blank">http://ecai2020.eu/wp-content/uploads/AuthorsPack-ECAI2020.zip</a>).<br>
Position papers are expected to be short (2-4 pages). Long </div>
<div class="PlainText">submissions should not exceed 7 pages plus one for references.<br>
<br>
Please submit via EasyChair: <br>
<a href="https://easychair.org/conferences/?conf=cognitar2020" target="_blank">https://easychair.org/conferences/?conf=cognitar2020</a><br>
<br>
======== IMPORTANT DATES ========<br>
<br>
March 23th 2020: Deadline extended abstract/paper submission </div>
<div class="PlainText">via COGNITAR 2020 Easychair<br>
(<a href="https://easychair.org/conferences/?conf=cognitar2020" target="_blank">https://easychair.org/conferences/?conf=cognitar2020</a>)<br>
April 22th 2020: Notification of acceptance / rejection<br>
June 1st 2020: Final article submission for online proceedings (via Easychair)<br>
June 9th 2020: COGNITAR 2020 Workshop<br>
<br>
======== ORGANIZERS ========<br>
<br>
Emma Dietz, TU Dresden, emmanuelle.dietz@tu-dresden.de<br>
Antonis Kakas, Univeristy of Cyprus, antonis@ucy.ac.cy<br>
Loizos Michael, Open University of Cyprus, loizos@ouc.ac.cy<br>
<br>
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