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<p>Dear colleagues,</p>
<p>I am happy to announce the next lecture organized by <a
moz-do-not-send="true" href="https://jaii.eu/">JAII</a>, the
Joint Artificial Intelligence Institute of Bielefeld University
and University of Paderborn:</p>
<h3 style="box-sizing: border-box; margin-top: 0px; margin-bottom:
0.5rem; font-weight: 900; line-height: 1.2; font-size: 1.5rem;
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font-style: normal; font-variant-ligatures: normal;
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white-space: normal; widows: 2; word-spacing: 0px;
-webkit-text-stroke-width: 0px; text-decoration-thickness:
initial; text-decoration-style: initial; text-decoration-color:
initial;">Lecture by <a moz-do-not-send="true"
href="https://users.cs.northwestern.edu/~forbus/">Kenneth D.
Forbus</a> (Northwestern University) on January 19, 16:00-17:30
CET, "Qualitative Representations and Analogical Learning for
Human-like AI Systems"</h3>
<p>While there has been substantial progress in AI, we are still far
away from systems that can learn incrementally from small amounts
of data while producing results that are understandable by human
partners. Our hypothesis is that qualitative representations and
analogical learning are central in human cognition, and that these
ideas provide the basis for new technologies that will help us
create more human-like AI systems. We illustrate using examples
from vision, language, and reasoning. These advances should
support building software social organisms, that interact with
people as collaborators rather than tools, which ultimately could
revolutionize how AI systems are built and used.</p>
<p>The Zoom link is directly available at the <a
moz-do-not-send="true" href="https://jaii.eu/">JAII Homepage</a><br>
</p>
<pre class="moz-signature" cols="72">--
Prof. Dr. Barbara Hammer
Machine Learning Group, CITEC
<a class="moz-txt-link-freetext" href="https://hammer-lab.techfak.uni-bielefeld.de/">https://hammer-lab.techfak.uni-bielefeld.de/</a>
Bielefeld University
D-33594 Bielefeld
Phone: +49 521 / 106 12115</pre>
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