<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class="">Journal of Artificial Intelligence Research (JAIR) Special Track on Deep Learning, Knowledge Representation, and Reasoning</div><div class="">(<a href="http://www.jair.org/specialtrack-dlkrr-call.html" class="">http://www.jair.org/specialtrack-dlkrr-call.html</a>)</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">We are pleased to invite papers for submission to a JAIR special track on deep learning, KR, and reasoning, as such also naturally targeting work in neural-symbolic integration and related areas. </div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">The recent success of deep neural networks at tasks such as language modelling, computer vision, and speech recognition has attracted considerable interest from industry and academia. Achieving a better understanding and widespread use of such models involves the use of Knowledge Representation and Reasoning together with sound Machine Learning methodologies and systems.</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">The goal of the special track is to serve as a home for the publication of leading research in deep learning towards cognitive tasks, focusing on applications of neural computation to advanced AI tasks requiring knowledge representation and reasoning. Topics of interest include, but are not limited to: knowledge extraction and reasoning using deep networks, the representation of rich symbolic knowledge by neural systems, the integration of logic and probabilities using neural networks, structure learning and relational learning using recurrent networks, neural-symbolic cognitive agents and models, theory revision and transfer learning with neural networks, applications in natural language understanding, visual intelligence, audio, music and signal processing, multimodal learning, education and assessment, and other tasks of a cognitive nature.</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">The tentative timetable for the special track looks as follows:</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">Deadline for submissions: September 1, 2016</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">First round of notifications: December 1, 2016</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">Deadline for re-submissions: March 1, 2017</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">Final notifications: May 1, 2017</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">Final manuscripts due: June 1, 2017</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">We hope that this special track will provide a forum to our communities for showcasing highest-quality research and application work, by this establishing a repository which can serve as a form of "academic reference beacon" for future work to build upon.</span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="font-family: Arial, Helvetica, sans-serif; background-color: rgb(255, 255, 255);">Further details concerning submission formats and procedure can be found at </span><font face="Arial, Helvetica, sans-serif" class=""><a href="http://www.jair.org/specialtrack-dlkrr-call.html" class="">http://www.jair.org/specialtrack-dlkrr-call.html</a>.</font></div><div class=""><br class=""></div><div class=""><font face="Arial, Helvetica, sans-serif" class="">On behalf of the track editor and associate editors,</font></div><div class=""><font face="Arial, Helvetica, sans-serif" class=""><br class=""></font></div><div class=""><font face="Arial, Helvetica, sans-serif" class="">Tarek R. Besold (Free University of Bozen-Bolzano, Italy)</font></div><div class=""><font face="Arial, Helvetica, sans-serif" class="">Artur D’Avila Garcez (City University London, UK)</font></div><div class=""><font face="Arial, Helvetica, sans-serif" class="">Kristian Kersting (TU Dortmund, Germany)</font></div><div class=""><font face="Arial, Helvetica, sans-serif" class=""><br class=""></font></div>
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