<html><head><meta http-equiv="Content-Type" content="text/html charset=windows-1252"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><div><br></div><div><div>Dear colleagues,<br><br>I am happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access).<br>This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence and neuroscience. <br><br>It is available at: <a href="http://goo.gl/dyrg6s">http://goo.gl/dyrg6s</a><br><br>Featuring dialog:<br>=== "<span style="background-color: rgb(255, 255, 255); color: rgb(34, 34, 34); font-family: Helvetica, Arial, sans-serif; line-height: 19px;">Exploring Robotic Minds by Predictive Coding Principle</span>"</div><div>== Dialog initiated by Jun Tani</div><div>with responses from: <span style="color: rgb(34, 34, 34); font-family: Helvetica, Arial, sans-serif; line-height: 19px; background-color: rgb(255, 255, 255);">Andy Clark, Doug Blank, James Marshall, Lisa Meeden, Stephane Doncieux, Giovanni Pezzulo, Martin Butz, Ezgi Kayhan, Johan Kwisthout and Karl Friston</span><br>== Topic: The idea that the brain is pro-actively making predictions of the future at multiple levels of hierarchy has become a central topic to explain human intelligence and to design general artificial intelligence systems.</div><div>This dialog discusses whether hierarchical predictive coding enables a paradigm shift in development robotics and AI. In particular, the dialog reviews the importance of various complementary mechanisms to predictive coding, which happen to be right now very actively researched in artificial intelligence: intrinsic motivation and curiosity, multi-goal learning, developmental stages (also called curriculum learning in machine learning), and the role of self-organization. They also underline several major challenges that need to be addressed for general artificial intelligence in autonomous robots, and that current research in deep learning fails to address: 1) the problem of the poverty of stimulus: autonomous robots, like humans, have access to only little data as they have to collect it themselves with severe time and space constraints; 2) the problem of information sampling: which experiments/observations to make to improve one’s world model. Finally, they also discuss the issue of how these mechanisms arise in infants and participate to their development.<br><br>Call for new dialog:<br>=== "One Developmental Cognitive Architecture to Rule Them All?"<br>== Dialog initiated by Matthias Rolf, Lorijn Zaadnoordijk, Johan Kwisthout<br>== This new dialog asks whether and how it would be useful both epistemologically and in practice to aim towards the development of a “standard integrated cognitive architecture”, akin to “standard models” in physics. In par- ticular, they ask this question in the context of understanding development in infants, and of building developmental architectures, thus addressing the issue of architectures that not only learn, but that are adaptive themselves. Those of you interested in reacting to this dialog initiation are welcome to sub- mit a response by November 30th, 2017. The length of each response must be between 600 and 800 words including references (contact <a href="mailto:pierre-yves.oudeyer@inria.fr">pierre-yves.oudeyer@inria.fr</a>).</div><div><br>Let me remind you that all issues of the newsletter are all open-access and available at: <a href="http://icdl-epirob.org/cdsnl">http://icdl-epirob.org/cdsnl</a><br><br>I wish you a stimulating reading!<br><br>Best regards,<br><br>Pierre-Yves Oudeyer,<br>Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems<br>Chair of the IEEE CIS AMD Technical Committee on Cognitive and Developmental Systems<br>Research director, Inria<br>Head of Flowers project-team<br>Inria and Ensta ParisTech, France<br><a href="http://www.pyoudeyer.com">http://www.pyoudeyer.com</a><br></div><div>Twitter: <a href="https://twitter.com/pyoudeyer">https://twitter.com/pyoudeyer</a></div></div><div><br></div><div>and </div><div><br></div><div>Fabien Benureau</div><div>Assistant Editor</div><div>Inria Mnemosyne team</div><div><a href="http://fabien.benureau.com">http://fabien.benureau.com</a></div><div><br></div></body></html>