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<p class="p1" style="margin:0in;margin-bottom:.0001pt"><span style="font-size:9.0pt;font-family:Helvetica;color:black">CALL FOR PAPERS</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">14th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy’19) In conjunction with IJCAI 2019<span class="apple-converted-space"> </span></span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"><a href="https://sites.google.com/view/nesy19/"><span style="color:#954F72">https://sites.google.com/view/nesy19/</span></a></span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">Submission deadline: Apr 12, 2019 anywhere on earth</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">Notification: May 10, 2019</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">Camera-ready paper due: May 24, 2019</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">IJCAI-19 conference: Aug 10-16, 2019</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">The<span class="apple-converted-space"> </span>NeSy<span class="apple-converted-space"> </span>workshop series is seen as a major venue for the presentation and discussion of key topics related
to neural-symbolic computing.<span class="apple-converted-space"> </span>NeSy<span class="apple-converted-space"> </span>has provided an atmosphere for the free exchange of ideas and networking within the community of scientists that straddle the line between
statistical and symbolic methods in AI. We invite theoretical and applied submissions of all types that span both connectionist and symbolic learning paradigms. We further invite papers detailing experimental and in-the-wild neural-symbolic systems and papers
on topics where neural-symbolic learning has a strong use case.<span class="apple-converted-space"> </span></span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">Topics of interest include, but are not limited to, the following:<span class="apple-converted-space"> </span></span><span style="color:black"><o:p></o:p></span></p>
<p class="p2" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Knowledge representation and reasoning in (deep) neural networks</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Symbolic knowledge extraction from neural and statistical learning models</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Explainable AI models, systems, and techniques that integrate connectionist and symbolic paradigms</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Neural-symbolic cognitive models</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Biologically-inspired neural-symbolic integration</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Continual learning, integration of logic and probabilities with neural networks</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Neural-symbolic methods for structured learning tasks, including transfer, meta, and relational learning</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Novel connectionist systems able to perform traditionally symbolic AI tasks (e.g., logical deduction)<span class="apple-converted-space"> </span></span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Novel symbolic systems able to perform traditionally connectionist tasks (e.g., unstructured data analysis)</span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">* Applications in simulation, fiance, robotics, the semantic web, software engineering, systems engineering, bioinformatics, and visual intelligence.</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">NeSy<span class="apple-converted-space"> </span>also invites short, clear, and well-written position papers for presentation and discussion during the workshop.<span class="apple-converted-space"> </span></span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">**Submission**</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere using the IJCAI paper style. Submitted papers must be written
in English and should not exceed 6 pages in the case of research and experience papers, or 3 pages in the case of position papers (including figures, bibliography and appendices). All submitted papers will be judged based on their quality, relevance, originality,
significance, and soundness. Submissions need not be double-blind.</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">Submit your paper via:<span class="apple-converted-space"> </span><a href="https://easychair.org/conferences/?conf=nesy19"><span style="color:#954F72">https://easychair.org/conferences/?conf=nesy19</span></a></span><span style="color:black"><o:p></o:p></span></p>
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<span class="apple-converted-space"><span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span></span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">Selected papers will be presented during the workshop. The workshop will include extra time for audience discussion of the presentation allowing the group to have a better understanding of the
issues, challenges, and ideas being presented. Accepted papers will be published in official workshop proceedings, which will be distributed during the workshop. Authors of the best papers will be invited to submit a revised and extended version of their papers
to the Journal of Applied Logics, College Publications.</span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black">General questions concerning the workshop should be addressed to<span class="apple-converted-space"> </span><a href="mailto:a.garcez@city.ac.uk"><span style="color:#954F72">a.garcez@city.ac.uk</span></a></span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">For more information about neural-symbolic AI and the workshop series, please visit<span class="apple-converted-space"> </span><a href="http://www.neural-symbolic.org/"><span style="color:#954F72">http://www.neural-symbolic.org/</span></a></span><span style="color:black"><o:p></o:p></span></p>
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<span style="font-size:9.0pt;font-family:Helvetica;color:black"> </span><span style="color:black"><o:p></o:p></span></p>
<p class="p1" style="margin:0in;margin-bottom:.0001pt;caret-color: rgb(0, 0, 0);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px">
<span style="font-size:9.0pt;font-family:Helvetica;color:black">Please join the<span class="apple-converted-space"> </span>NeSy<span class="apple-converted-space"> </span>mailing list<span class="apple-converted-space"> </span><a href="mailto:NESY@JISCMAIL.AC.UK"><span style="color:#954F72">NESY@JISCMAIL.AC.UK</span></a><span class="apple-converted-space"> </span>which
is used for general announcements about the workshop.</span><span style="color:black"><o:p></o:p></span></p>
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