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<p>Liebe Kolleg*innen,<br>
<br>
ich möchte Sie sehr herzlich zum Gastvortrag von Katrien Beuls
(Université de Namur) einladen. In ihrem Vortrag beschäftigt sie
sich mit dem Thema, dass aktuelle kommunikative Systeme, die von
künstlichen Agenten verwendet werden, den Fähigkeiten menschlicher
Kommunikation im Bezug auf Ausdrucksstärke, Flexibilität und
Adaptivität weit hinterher hinken. Der Vortrag trägt den Titel
"Unravelling the Computational Mechanisms Underlying the Emergence
of Human-like Communication Systems in Populations of Autonomous
Agents" und findet am Mittwoch, den 27.7., um 18:30 statt. Er ist
Teil der aktuell laufenden Vortragsreihe des Österreichischen
Forschungsinstituts für Artificial Intelligence (OFAI). <br>
<br>
Der Vortrag wird dieses Mal in hybrider Form abgehalten, d.h. die
Teilnahme ist auch vor Ort am OFAI möglich (Freyung 6/6/7, 1010
Vienna). Bitte beachten Sie, dass vor Ort für alle
Teilnehmer*innen Maskenpflicht besteht. Alternativ ist die
Teilnahme auch über Zoom möglich:<br>
<br>
URL:
<a class="moz-txt-link-freetext"
href="https://us06web.zoom.us/j/84282442460?pwd=NHVhQnJXOVdZTWtNcWNRQllaQWFnQT09">https://us06web.zoom.us/j/84282442460?pwd=NHVhQnJXOVdZTWtNcWNRQllaQWFnQT09</a><br>
Meeting ID: 842 8244 2460<br>
Passcode: 678868</p>
<p>Abstract und Biographie finden Sie unten angehängt.<br>
</p>
<p>Wir freuen uns auf Ihre Teilnahme!<br>
<br>
Mit besten Grüßen,<br>
Stephanie Gross</p>
<p><br>
</p>
<p><u>Abstract</u>: Over the last two decades, important advances in
the field of artificial intelligence have led to tremendous
progress in many tasks and application domains, including computer
vision, robotics and natural language processing. Yet, the
communication systems that are used by artificial agents for
human-agent and agent-agent communication today are still far
removed from exhibiting the expressiveness, flexibility and
adaptivity that is found in human languages. This gap may mostly
be ascribed to the fact that current communication systems are
learned by extracting frequently occurring patterns from huge
amounts of annotated data, limiting their applicability to
predefined tasks set in stable environments. In this talk, I will
present my long-term research programme which takes a radically
different approach with the goal of building truly intelligent
systems that are capable of adapting to unforeseeable changes in
their tasks and environment. Rather than extracting patterns from
annotated data, we equip populations of autonomous agents with
computational mechanisms that allow them to self-organise an
emergent conceptual and linguistic system through communicative
interactions. By means of multi-agent experiments, we investigate
the mechanisms that are needed for inventing, adopting and
aligning transparent languages based on novel compositions of
atomic cognitive capabilities that are mastered by the agents.
These methodological innovations have the potential to lead to a
paradigm shift in the way in which explainable human-agent and
agent-agent communication is modelled, both in emergent
communication experiments and real-world applications. Such
applications include safety assistants (communicating with
humans), self-driving vehicles (communicating with each other) and
distributed smart devices in a home environment (communicating
with humans and each other).<br>
<br>
<u>Biography</u>: Katrien Beuls received her MSc in Speech and
Language Processing from the University of Edinburgh in 2009 and
her MA in Linguistics from the University of Leuven in 2008. She
defended her PhD in Computer Science in 2013 at the Vrije
Universiteit Brussel on a new framework for computer-assisted
language learning that combines the language game methodology and
computational construction grammar. Since April 2022, she is
assistant professor in computer science at the University of
Namur. She has been involved as PI and co-PI in numerous European
research projects, including the H2020 MUHAI project, the H2020
ODYCCEUS project, the AI4EU platform and the Marie Curie initial
training network ESSENCE. Her main research interests lie in the
applications of evolutionary and hybrid AI in diverse tasks that
require advanced perception, reasoning and learning skills.</p>
<pre class="moz-signature" cols="72">--
------------------------------------------------------------------
Mag. Dr. Stephanie Gross MSc | Austrian Research Institute for
email: <a class="moz-txt-link-abbreviated moz-txt-link-freetext" href="mailto:stephanie.gross@ofai.at">stephanie.gross@ofai.at</a> | Artificial Intelligence (OFAI)
phone: (+43-1)5324621-1 | Freyung 6/3/1a
| A-1010 Vienna, Austria
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