27 July 2022 @ 18:30 CEST.
Katrien Beuls (Universite de Namur):
Unravelling the Computational Mechanisms Underlying the Emergence of
Human-like Communication Systems in Populations of Autonomous Agents.
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).
How to attend: To be announced: https://www.ofai.at/events/lectures2022
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The Austrian Research Institute for Artificial Intelligence (OFAI) is
delighted to announce its 2022 Lecture Series, featuring an eclectic
lineup of internal and external speakers.
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The talks are intended to familiarize attendees with the latest research
developments in AI and related fields, and to forge new connections with
those working in other areas.
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Most lectures (see prospective schedule below) will take place on
Wednesdays at 18:30 Central European (Summer) Time. All lectures will
be held online via Zoom; in-person attendance at OFAI is also possible
for certain lectures. Talks typically last from 30 to 50 minutes and
are followed by up to 30 minutes for questions.
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Attendance is open to the public and free of charge. No registration is
required.
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Connection details for the individual talks will be sent out via our
usual mailing list (subscribe at https://www.ofai.at/newsletter.html)
and will also be posted at https://www.ofai.at/lectures.
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Schedule:
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7 September 2022 @ 18:30 CEST
Steffen Eger (Bielefeld University)
Text Generation for the Humanities
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14 September 2022 @ 18:30 CEST
Antti Arppe (University of Alberta)
Finding Words that Aren’t There: Using Word Embeddings to Improve
Dictionary Search for Low-resource Languages
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21 September 2022 @ 18:30 CEST
Roman Pflugfelder (AIT Austrian Institute of Technology)
(Title to be announced)
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28 September 2022 @ 18:30 CEST
Raphael Deimel (TU Wien)
Towards Intuitive Object Handovers Between Humans and Robots
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5 October 2022 @ 18:30 CEST
Christoph Scheepers (University of Glasgow)
The „Crossword Effect“ in Free Word Recall: A Retrieval Advantage for
Words Encoded in Line with their Spatial Associations
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12 October 2022 @ 18:30 CEST
Karen Fort (Sorbonne Université)
(Title to be announced)
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19 October 2022 @ 18:30 CEST
Benjamin Roth (University of Vienna)
Evaluation and Learning with Structured Test Sets
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25 October 2022 @ 18:30 CEST
Peter Hallman (OFAI)
Comparatives in Arabic
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2 November 2022 @ 18:30 CET
Stephanie Gross (OFAI)
(Title to be announced)
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9 November 2022 @ 18:30 CET
Bernhard Pfahringer (University of Waikato)
The World is not IID: Learning from Data Streams to the Rescue
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16 November 2022 @ 18:30 CET
Paolo Petta (OFAI)
(Title and abstract to be announced)
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Oesterreichisches Forschungsinstitut fuer Artificial Intelligence (OFAI)
der OSGK
Freyung 6/6/7, A-1010 Wien
Tel: +43-1-5336112-17, Fax: +43-1-5336112-77, Email: sec@ofai.at