<div dir="ltr">Dear all,<br><div><br></div><div>The deadline for papers for the 17th International Workshop on Neural-Symbolic Learning and 
Reasoning (NeSy2023) is approaching! NeSy 2023 will be held at La Certosa di Pontignano, Siena, 
Italy from July 3rd to July 5th, 2023. <br></div>
<br>
Abstract submission deadline: March 6th, 2023 (23:59 AoE).<br><div>
Paper submission deadline: March 13th, 2023  (23:59 AoE).</div><div><br></div><div>The abstract submission is very important so that we can start the bidding process. <br></div><div><span class="gmail-C9DxTc" style="font-variant:normal"><br></span></div><div><span class="gmail-C9DxTc" style="font-variant:normal">NeSy
 invites theoretical and applied paper submissions combining neural 
networks and symbolic AI. We further invite paper submissions containing
 experimental and in-the-wild systems having neur</span><span class="gmail-C9DxTc">o</span><span class="gmail-C9DxTc" style="font-variant:normal">symbolic computing as a strong use case. Topics of interest include, but are not limited to: </span></div><div><ul class="gmail-n8H08c gmail-UVNKR" style="list-style-type:square;margin-left:0px;margin-right:0px;padding:0px"><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Knowledge representation and reasoning using deep neural networks;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Symbolic knowledge extraction from neural and statistical learning systems;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Explainable AI methods, systems and techniques integrating connectionist and symbolic AI;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc">Enhancing deep learning systems through structured background knowledge.</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Neur</span><span class="gmail-C9DxTc">o</span><span class="gmail-C9DxTc" style="font-variant:normal">symbolic cognitive agents;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Biologically-inspired neurosymbolic integration;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Integration of logics and probabilities in neural networks;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Neur</span><span class="gmail-C9DxTc">o</span><span class="gmail-C9DxTc" style="font-variant:normal">symbolic methods for structure learning, transfer learning, meta, multi-task and continual learning, relational learning;</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Novel
 connectionist systems able to perform traditionally symbolic AI tasks 
(e.g. abduction, deduction, out-of-distribution learning);</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Novel
 symbolic systems able to perform traditionally connectionist tasks 
(e.g. learning from unstructured data, distributed learning);</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc">Embedding
 methods for structured information, such as knowledge graphs, 
mathematical expressions, grammars, knowledge bases, logical theories, 
etc.</span></p></li><li dir="ltr" class="gmail-zfr3Q gmail-TYR86d eD0Rn" style="margin-left:15pt"><p dir="ltr" role="presentation" class="gmail-zfr3Q gmail-CDt4Ke" style="margin-left:0pt;padding-left:0pt;text-align:left;text-indent:0pt"><span class="gmail-C9DxTc" style="font-variant:normal">Applications of neur</span><span class="gmail-C9DxTc">o</span><span class="gmail-C9DxTc" style="font-variant:normal">symbolic
 and hybrid systems, including in simulation, finance, healthcare, 
robotics, semantic web, software engineering, systems engineering, 
bioinformatics and visual intelligence.</span></p></li></ul></div>

Please visit the event's webpage below for more information about the 
scope of the workshop and paper submission information and guidelines:<br>
<a href="https://sites.google.com/view/nesy2023" rel="noreferrer" target="_blank">https://sites.google.com/view/nesy2023</a><br>
<br>
With <span class="gmail-il">best</span> wishes,<br><div>
Tarek, Artur, Marco and Ernesto</div><div>NeSy organisers</div><div><br></div><div><br></div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><span>
Ernesto Jiménez-Ruiz<br>Lecturer in Artificial Intelligence</span></div><div dir="ltr"><span><br>
</span></div><div><span>Department of Computer Science</span></div><div><span>School of Science & Technology</span><span><br>City, University of London<br></span></div><div></div><div dir="ltr"><span>
</span></div><div dir="ltr"><span>
<a href="https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz" target="_blank">https://www.city.ac.uk/people/academics/ernesto-jimenez-ruiz</a></span><br></div><div dir="ltr"><br><br></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>