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<div class=""><span style="caret-color: rgb(0, 0, 0); color: rgb(78, 75, 35);" class="">***Apologies for Cross-posting***</span><br class="">
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="color: rgb(78, 75, 35);">Dear Friends and Colleagues,</span><br class="">
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><font color="#4e4b23" class="">I am pleased to announce</font><span class="" style="color: rgb(78, 75, 35);"> the first </span><a href="https://sites.google.com/view/kr4hi/home" class=""><span class="" style="color: rgb(78, 75, 35);">International
Workshop on Knowledge Representation for Hybrid intelligence (</span><span class="" style="color: rgb(78, 75, 35);">KR4HI)</span></a><span class="" style="color: rgb(78, 75, 35);"> which will be </span><span class="" style="color: rgb(78, 75, 35);">held in
Amsterdam </span><span class="" style="color: rgb(78, 75, 35);"> on June 14th, 2022, and </span><span class="" style="color: rgb(78, 75, 35);">co-located with </span><a href="https://www.hhai-conference.org/" class="">HHAI 2022</a><span class="" style="color: rgb(78, 75, 35);">.
The workshop aims to motivate interdisciplinary KR research which is oriented towards </span><span class="" style="color: rgb(78, 75, 35);">human-machine teaming scenarios (hence the term hybrid-intelligence). </span><span class="" style="color: rgb(78, 75, 35);">
You can find further information below.</span></div>
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="color: rgb(78, 75, 35);">--Erman Acar (also on behalf of the organising committee: Thomas Bolander, Ana Ozaki and Rafael </span><span class="" style="color: rgb(78, 75, 35);">Peñaloza</span><span class="" style="color: rgb(78, 75, 35);">)</span></div>
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">IMPORTANT DATES </div>
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Submission deadline (extended): April 14th, 2022 (AoE)</div>
<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Notification of acceptance: May 14th, 2022</div>
<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Workshop date: June 14th, 2022 </div>
<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Place: Amsterdam, The Netherlands</div>
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Website:<span class="" style="font-size: 14px;"> </span> <a href="https://sites.google.com/view/kr4hi/home" class="">https://sites.google.com/view/kr4hi/home</a></div>
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<span class="" style="font-size: 14px;">MOTIVATION</span></div>
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<span class="">As artificial intelligence (AI) technologies are playing more important roles in our daily lives than ever before, designing intelligent systems which can work with humans effectively (instead of replacing them) is becoming a central research
theme, giving rise to hybrid intelligence (HI). HI stands for combining human and machine intelligence as a team in various scenarios, aiming to benefit from the complementary powers of both components in solving problems. Developing such systems requires
fundamentally novel solutions to major research problems in AI: current AI systems outperform humans in many cognitive tasks e.g., in pattern recognition or in playing video games, yet they fall short when it comes to tasks such as causal modelling, common
sense reasoning, and behavioural human capabilities such as explaining its own decisions, adapting to different environments, adaptability to multiple contexts, collaborating with other human agents, etc. A particular challenge in developing such systems is
to work with human input (high-level symbolic constraints or behavioural data).<span class="Apple-tab-span" style="white-space: pre;">
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</span><span class="">Knowledge representation (KR) as a sub-discipline of AI, deals with representing background knowledge and reasoning with symbolic constraints. KR has a key potential for contributing to the development of HI systems, because it naturally
brings human understanding and formal semantics (the understanding of machines) together. With this idea in mind, we welcome a wide array of works that use a KR formalism (or develop one) in an HI scenario. These works can range from purely theoretical to
applied, or from purely symbolic to neural-symbolic ones, e.g., “learning systems which take human demonstrations and symbolic constraints into account” to “explainable AI systems that generate symbolic explanations for humans” or can be in the context of
socio-technical systems which hybrid intelligence naturally falls under.<span class="Apple-tab-span" style="white-space: pre;">
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<span class="" style="font-size: 14px;">THEME OF SUBMISSION</span></div>
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<span class="">The workshop has an interdisciplinary theme and welcomes any work from any discipline which uses a KR formalism in a HI scenario.<br class="">
The relevant KR formalisms to be used/motivated in an HI scenario include but are not limited to:<span class="Apple-tab-span" style="white-space: pre;">
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• Argumentation Frameworks<br class="">
• Automated Reasoning and Planning<br class="">
• Belief Revision and Models of Uncertainty (Probabilistic/Fuzzy Logics)<br class="">
• Constraint programming <br class="">
• Causal Inference and Contextual Reasoning<br class="">
• Epistemic Logics and Theory of Mind<br class="">
• Formal Concept Analysis<br class="">
• Formal and Applied Ontologies (Knowledge Graphs, Description Logics)<br class="">
• Non-monotonic Reasoning (Answer-set Programming, Datalog)<br class="">
• Temporal logics (Single-agent / Multiagent Logics)<br class="">
• Preferential Reasoning<br class="">
• Probabilistic Graphical Models<br class="">
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<span class="" style="font-size: 14px;">SUBMISSIONS</span></div>
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<span class="">Submission format: Submissions for contributing papers must be original (i.e., not submitted to any other venue) and are required to be in CEUR format (see <a href="http://ceur-ws.org/HOWTOSUBMIT.html" class="">http://ceur-ws.org/HOWTOSUBMIT.html</a>)
with 12 pages + references (+supplementary material if necessary), and anonymised. Previously published articles can be submitted in the form of extended abstracts (2 pages + references). <br class="">
Submission link: Submissions are to be made via the EasyChair: <a href="https://easychair.org/conferences/?conf=kr4hi" class="">https://easychair.org/conferences/?conf=kr4hi</a>.<br class="">
The review process: The review process will be carried out as single-blind, that is, the authors are required to make their submissions anonymised. (Extended abstract submission are exempt from that restriction.)<br class="">
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<span class="" style="font-size: 14px;">JOURNAL SPECIAL ISSUE</span></div>
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Selected papers will further be invited for (extended version) submission to a special issue of the journal <a href="https://www.iospress.com/catalog/journals/ai-communications" class="">AI Communications.</a></div>
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<span class="" style="font-size: 14px;">PROGRAM COMMITEE </span></div>
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;"><span class="" style="font-size: 14px;">ORGANISING COMMITTEE</span></div>
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<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Erman Acar (Leiden University & Vrije Universiteit Amsterdam) </div>
<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Thomas Bolander (Technical University of Denmark) </div>
<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Ana Ozaki (University of Bergen)</div>
<div class="" style="margin: 0px; font-stretch: normal; line-height: normal;">Rafael Peñaloza (University of Milano-Bicocca)</div>
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CONTACT</div>
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For any question, please contact Erman Acar via email: <a href="mailto:e.acar@liacs.leidenuniv.nl" class="">e.acar@liacs.leidenuniv.nl</a> or <a href="mailto:erman.acar@vu.nl" class="">erman.acar@vu.nl</a></div>
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<div><a href="https://sites.google.com/view/ermanacar" class=""></a><a href="https://sites.google.com/view/ermanacar" class="">Erman Acar, PhD</a></div>
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<div><a href="https://rlg.liacs.nl/" class="">Reinforcement Learning Group</a>,</div>
<div><a href="https://liacs.leidenuniv.nl/" class="">Leiden Institute of Advanced Computer Science</a>, <a href="https://www.universiteitleiden.nl/en" class="">Universiteit Leiden</a></div>
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<div><a href="https://krr.cs.vu.nl/" class="">Knowledge Representation and Reasoning Group</a></div>
<div><a href="https://vu.nl/nl/over-de-vu/faculteiten/faculteit-der-betawetenschappen/afdelingen/informatica" class="">Department of Computer Science</a>, <a href="https://vu.nl/en" class="">Vrije Universiteit Amsterdam</a></div>
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<div><a href="https://www.civic-ai.nl/" class="">Civic-AI Lab Amsterdam</a></div>
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