Connectionists: [CFP] Call for abstracts: Computational Cognition workshop (COMCO 2021)

[Juliane Schwab]

We are pleased to announce the 2nd "Computational Cognition" workshop,
hosted by the DFG-funded Research Training Group by the same name at the
Institute of Cognitive, Osnabrück University (Germany). The workshop
will be held remotely on September 23 – 24, 2021.

In this workshop, we pursue to (re-)integrate research from areas
concerned with low- and high-level cognition. Much is understood
regarding the neural signals underlying basic sensorimotor processes, as
well as the cognitive processes involved in reasoning, problem solving,
and language. However, understanding how high-level cognition can arise
from low-level mechanisms is a long-standing open problem in cognitive
science. Artificial intelligence has recently made great progress on
many cognitive tasks using (deep) neural networks. At the same time,
cognitive scientists have explored similar ideas, such as predictive
coding for unified neural theories of learning. Thus, by bringing
together ideas from cognitive science and Al we hope to generate new
insights into human and machine intelligence alike.

***Confirmed invited speakers***
Jacob Andreas (MIT), Richard Baraniuk (Rice University), Tom Griffiths
(Princeton University), Andrea E. Martin (Max Planck Institute for
Psycholinguistics), Claire Sergent (Université de Paris), Agnieszka
Wykowska (Istituto Italiano di Tecnologia)


*****Call for abstracts*****
We invite abstracts for papers from all areas of cognitive science.
Submissions should have a strong computational focus, and may concern
research questions in low- or high-level cognition. Topics include but
are not limited to…

-Computational neuroscience
-Artificial intelligence
-Mathematical and computational models of higher-order cognition (e.g.,
language, decision making, inference)
-Mathematical and computational models of low-level cognition (e.g.,
signal processing, semantic classification)
-Natural language processing and computational models of language
-Machine learning and Deep Learning
-Empirical studies conducted in relation to either of the above


Abstracts should be submitted anonymously. The main text should not
exceed one A4 page (12pt font, 2.54 cm/1 inch margins), with an optional
second page for additional materials such as tables, figures, and
references. Abstracts can be considered for a 30-minute talk or poster.
Please indicate when submitting whether you would like the abstract to
be considered for a talk, poster, or both. To do so, add the labels
"talk", "poster", or "talk/poster" to the title in the submission form
(e.g., title: "My first submission (talk/poster)").

The deadline for submission is June 30, 2021 (11:59 pm CEST). We expect
to notify authors of the decision by early August 2021.

You may submit your abstracts here:
https://easychair.org/conferences/?conf=comco2021

Further information is available on the conference website:
https://comco2021.uni-osnabrueck.de/

For any inquiries please contact: comco at uni-osnabrueck.de

Kind regards
The COMCO 2021 organizing committee
Michael Marino, Xenia Ohmer, Gabriela Pipa, and Juliane Schwab
-- 

-- 
Juliane Schwab, M.Sc.
RTG Computational Cognition
Research Group Psycho- and Neurolinguistics

Osnabrück University
Institute of Cognitive Science
Wachsbleiche 27
49090 Osnabrück
Germany

office: 50/104
email: jschwab at uos.de
phone: +49-541-969-2247