Einladung zur Ausstellung «Wie wir die Welt sehen» – 07.02. – 13.03.2020 – Bochum
Liebe Mitglieder der Gesellschaft für Kognitionswissenschaft,
vom 07.02. – 13.03.2020 findet in Bochum die Ausstellung „Wie wir die Welt sehen – Philosophie und Kognition“ statt, zu der wir herzlich einladen! Anhand von spannenden Illusionen zum Betrachten, Anfassen und Ausprobieren nehmen wir die BesucherInnen mit auf eine Reise durch die Geheimnisse unserer Wahrnehmung. Flankiert werden alle Ausstellungsobjekte von Erklärungen und Hinweisen zur theoretischen Bedeutung. PC-Stationen mit Videos und Animationen nebst ausführlicher philosophischer Erläuterungen ergänzen die Exponate. „Nehmen wir die Welt so wahr, wie sie ist oder konstruieren unsere Gehirne sie, wie wir sie sehen wollen?“ – unter dieser Leitfrage steht die gesamte Ausstellung. Mit unserer Auswahl an Illusionen und Wahrnehmungseffekten möchten wir einen Anstoß geben, über diese Frage nachzudenken.
Für Sie als KollegInnen und Kollegen kann es auch als ein Beispiel für den immer mehr von der DFG eingeforderten „Outreach“ dienen, den wir im Kontext der Erhöhung der Aufmerksamkeit für Kognitionswissenschaften generell fördern möchten, insbesondere von Seiten der Gesellschaft für Kognitionswissenschaften.
Event: The 15th Biannual Conference of the German Cognitive Science Society,
Theme: Understanding Minds
Date: 7.-9. September 2020
Location: Freiburg im Breisgau, Deutschland
Host: Albert-Ludwigs-Universität Freiburg
The 15. biannual Conference of the German Cognitive Science Society
(KogWis2020) will take place from 7.-9. September 2020 in Freiburg i.Br.,
organized by the Center for Cognitive Science. The theme “Understanding
Minds” reflects two perspectives: The conference provides a forum for all
topics in the study of how minds – both human and artificial – operate. The
theme also puts a specific spotlight on how cognitive systems make sense of
the world, in particular in language comprehension and communication.
Confirmed keynote speakers are:
· Dedre Gentner, Northwestern University, Illinois (USA)
· Seana Coulson, University of California, San Diego (USA)
· Marcel Brass, Ghent University (B)
· Matthew Crocker, Saarland University, Saarbrücken (D)
We would like to remind you of the 5th annual Groningen Spring School on Cognitive Modeling.
As last year, the Spring School will offer courses on the ACT-R, Nengo, and PRIMs paradigms, as well as a course on error-driven learning. These courses consist of daily lectures, as well as hands-on tutorials that will give you practical experience with the topic.
As a special feature for our 5th anniversary this year, we are offering a lecture series on dynamical systems. This lecture series should be interesting for anyone looking into modeling cognitive dynamics. It can be combined with each of the 4 courses mentioned above, but we especially recommend it in combination with Nengo for everyone interested in neuromorphic computing.
The first day of the Spring School will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as hands-on tutorials. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms.
The early registration deadline ends on February 15, so make sure to sign up before then.
Event: The 15th Biannual Conference of the German Cognitive Science Society, KogWis2020
Theme: Understanding Minds
Date: 7.-9. September 2020
Location: Freiburg im Breisgau, Deutschland
Host: Albert-Ludwigs-Universität Freiburg
The 15. biannual Conference of the German Cognitive Science Society (KogWis2020) will take place from 7.-9. September 2020 in Freiburg i.Br., organized by the Center for Cognitive Science. The theme “Understanding Minds” reflects two perspectives: The conference provides a forum for all topics in the study of how minds – both human and artificial – operate. The theme also puts a specific spotlight on how cognitive systems make sense of the world, in particular in language comprehension and communication.
Confirmed keynote speakers are:
Dedre Gentner, Northwestern University, Illinois (USA)
Seana Coulson, University of California, San Diego (USA)
Marcel Brass, Ghent University (B)
Matthew Crocker, Saarland University, Saarbrücken (D)
Eye tracking has become a popular method for investigating research
questions related to geographic space and spatial data. This includes
studies on how people interact with geographic information systems,
studies on how space is perceived in decision situations, and using gaze
as an input modality for spatial human-computer interaction. As an event
co-located with ETRA 2020, Eye Tracking for Spatial Research (ET4S) aims
to bring together researchers from different fields who have a common
interest in using eye tracking for research questions related to
visuospatial information processing and spatial decision-making.
After four successful ET4S events in 2013, 2014, 2018, and 2019, the 5th
edition of ET4S will be organized as a co-located event at ETRA 2020
(https://etra.acm.org/2020/index.html), the ACM Symposium on Eye
Tracking Research & Applications.
Topics of interest include, but are not limited to:
* Gaze-based Interaction with Maps and Other Spatial Visualizations
* Evaluation of Cartographic and Other Spatial Visualizations with Eye
* Gaze-aware Mobile Assistance and Location-based Services
* Navigation Studies, Wayfinding, and Eye Tracking
* Eye Tracking in Traffic Research (e.g., Car Navigation, Public
* Visual Perception and Exploration of (Indoor and Outdoor) Space
* Landscape Perception
* Visuospatial Cognition Research
* Gaze During Spatial and Spatio-temporal Decision Making
* Spatio-temporal Analysis and Visualization of Eye Tracking Data
* Individual and Group Differences in Visuospatial Information Processing
* Eye Tracking in XR (VR/MR/AR) for Spatial Research
* Eye Tracking in 3D Space
* Multi-user Eye Tracking for Collaborative Spatial Decision Making
*Submission Guidelines *
We call for regular and work-in-progress papers. Your submissions should
be prepared following the sigconf instructions. To prepare the content
of the PDF file, SIGGRAPH encourages authors to use the following
templates for LaTeX and Word, respectively: https://www.acm.org/publications/authors/submissions. At least one
author of each accepted ET4S paper must register for the ETRA conference.
/*Regular papers*/ should present original and novel work demonstrating
advances in methodological, theoretical, experimental or practical
aspects of ET4S topics on up to 6 pages (+2 pages maximum for references
only). Regular papers are expected to present fully analyzed data or
accomplished work. All accepted regular papers are presented orally at
the ET4S event.
/*Work-in-progress papers*/ are suitable for work on ET4S-related topics
in a stage beyond planning-only, but where feedback and discussion at
the ET4S event can make a contribution (e.g., a pilot study for a
planned study has been performed, or a conducted but not fully analyzed
study). Work-in-progress papers can be up to 4 pages long (+2 pages
maximum for references only). Work-in-progress papers will be presented
at the ET4S event either with a short oral presentation or as a poster.
*Important Dates *
Submission deadline February 21st, 2020
Reviews and notifications March 26th, 2020
Camera-ready deadline April 2nd, 2020
*ET4S Program Committee *
* Gennady Andrienko (Fraunhofer IAIS/City University London, Germany/UK)
* Roman Bednarik (University of Eastern Finland, Finland)
* Annina Brügger (University of Zurich, Switzerland)
* Florian Daiber (German Research Center for Artificial Intelligence
* Weihua Dong (Beijing Normal University, China)
* Fabian Göbel (ETH Zurich, Switzerland)
* Amy Griffin (Royal Melbourne Institute of Technology, Australia)
* Krzysztof Krejtz (SWPS University of Social Sciences and Humanities,
* Jakub Krukar (ifgi, University of Münster, Germany)
* Thomas Kübler (University of Tübingen, Germany)
* Tiffany C.K. Kwok (ETH Zurich, Switzerland)
* Bernd Ludwig (University of Regensburg, Germany)
* Vsevolod Peysakhovich (Institut supérieur de l’aéronautique et de
l’espace (ISAE-SUPAERO), France)
* Ken Pfeuffer (Bundeswehr University Munich, Germany)
* Martin Raubal (ETH Zurich, Switzerland)
* Anthony Robinson (Pennsylvania State University, USA)
* David Rudi (ETH Zurich, Switzerland)
* Artemis Skarlatidou (University College London, UK)
* Yanxia Zhang (FX Palo Alto Laboratory, USA)
*ET4S Organizers *
Peter Kiefer, ETH Zurich, Switzerland
Arzu Çöltekin, University of Applied Sciences and Arts Northwestern
Rul von Stülpnagel, University of Freiburg, Germany
Andrew T. Duchowski, Clemson University, SC, USA
Ioannis Giannopoulos, TU Vienna, Austria
The International Conference on Computational creativity is soliciting
proposals for workshops to be held along with the main ICCC conference. We
welcome proposals for half-day, full-day and one-and-a-half day workshops
on any aspect of computational creativity research. Workshops offer a great
opportunity to exchange ideas, and a chance to drive broader adoption of
your systems and methods. We welcome a diversity of formats, such as
academic workshops (with a process of peer-review for submitted papers) or
hands-on, practical workshops. Please feel free to contact the organisers
to discuss the possibilities further. All workshops will be academically
self-contained: they should have their own organising committee and conduct
their own peer-review and publication process where necessary.
**** Important dates ****
Workshop proposal submissions due: February 10th, 2020.
Workshop organisers are also encouraged to submit their proposals earlier
than the deadline and request an earlier response in order to allow more
time for their own submission process.
Notification of workshop acceptance: February 24th, 2019.
(Earlier acceptance may be possible at the chairs’ discretion, to allow
workshops a longer lead-time).
Note: all workshops should manage their own paper submission, review and
publication process, with appropriate timelines.
**** Submission Instructions ****
Please submit a PDF proposal of no more than 3 pages detailing the
– Title and theme of workshop;
– Description of the workshop’s scope and the type of papers and/or works
that will be accepted (feel free to refer to previous instances of the
workshop, including publications);
– Expected duration, number of participants, format and rough event
schedule (duration can be half-day, full-day or one-and-a-half-day);
– Any technical or space requirements (e.g., projector, PA, whiteboards);
– Details of your workshop timeline;
– Preliminary organising committee.
– Details of any invited speakers, if known at the time of submission
Dear Colleagues, Friends of IK and any Curious Minds,
as the co-chairs for the Interdisciplinary College (IK) 2020 spring school, we are excited to announce that the programme for the event is now complete and that the registration is open.
In case you have not heard about it, IK is an annual one-week spring school, which offers a dense, intensive, and state-of-the-art course program in neurobiology, neural computation, cognitive science, artificial intelligence, and related areas. It is aimed at graduate students, postgraduates, and researchers from academia and industry. By combining humanities, science, and technology, the unique event aims to intensify dialogue between – and connectedness of – researchers in the various disciplines.
IK 2020 will take place in Günne at Lake Möhnesee in Germany (near Dortmund) from March 13 to 20, next year. The deadline for early bird registrations is January 7th, 2020.
The focus theme will be *Curiosity, Risk & Reward: Shaping Autonomous Intelligence*. Curiosity is an exciting, yet comparatively underexplored interdisciplinary research topic that is currently seeing growing interest from many areas, including artificial intelligence, decision making, robotics, as well as learning and development in biological systems.
The diverse program will include introductory, focused, as well as practical courses and more.
As selected highlights, we will be able to host evening lectures by:
Celeste Kidd, University of California, Berkeley
Bing Brunton, University of Washington, Seattle
Alex Kacelnik, Oxford University
Tanja Schultz, Universität Bremen
Computational Creativity (or CC) is a discipline with its roots in
Artificial Intelligence, Cognitive Science, Engineering, Design, Psychology
and Philosophy that explores the potential for computers to be autonomous
creators in their own right. ICCC is an annual conference that welcomes
papers on different aspects of CC, on systems that exhibit varying degrees
of creative autonomy, on frameworks that offer greater clarity or
computational felicity for thinking about machine (and human) creativity,
on methodologies for building or evaluating CC systems, on approaches to
teaching CC in schools and universities or to promoting societal uptake of
CC as a field and as a technology, and so on.
**** Themes and Topics ****
Original research contributions are solicited in all areas related to
Computational Creativity research and practice, including, but not limited
– Applications that address creativity in specific domains such as music,
language, narrative, poetry, games, visual arts, graphic design, product
design, architecture, entertainment, education, mathematical invention,
scientific discovery, and programming.
– Applications and frameworks that allow for co-creativity between humans
and machines, in which the machine is more than a mere tool and takes on
significant creative responsibility for itself.
– Metrics, frameworks, formalisms and methodologies for the evaluation of
creativity in computational systems, and for the evaluation of how systems
are perceived in society.
– Syntheses of AI/CC treatments of very different genres or domains of
creativity (e.g. art and science, humour and mathematics, language and
– Computational paradigms for understanding creativity, including heuristic
search, analogical and meta-level reasoning, and representation.
– Resource development and data gathering/knowledge curation for creative
systems, especially resources and data collections that are scalable,
extensible and freely available as open-source materials.
– Ethical considerations in the design, deployment or testing of CC
systems, as well as studies that explore the societal impact of CC systems.
– Cognitive and psychological computational models of creativity, and their
relation with existing cognitive architectures and psychological accounts
– Innovation, improvisation, virtuosity and related pursuits investigating
the production of novel experiences and artefacts within a CC context.
– Computational accounts of factors that enhance creativity, including
emotion, surprise(unexpectedness), reflection, conflict, diversity,
motivation, knowledge, intuition, reward structures.
– Computational models of social aspects of creativity, including the
relationship between individual and social creativity, diffusion of ideas,
collaboration and creativity, formation of creative teams, and creativity
in social settings.
– Perspectives on computational creativity which draw from philosophical
and/or sociological studies in a context of creative intelligent systems.
– Computational creativity in the cloud, including how web services can be
used to foster unexpected creative behaviour in computational systems.
– Big data approaches to computational creativity.
– Debate papers that raise new issues or reopen seemingly settled ones.
Provocations that question the foundations of the discipline or throw new
light on old work are also welcome.
Papers on computational paradigms of all kinds – from symbolic to
statistical to deep learning models, as well as hybrid approaches – are
welcome, provided they address pertinent aspects of CC as sketched above.
**** Paper Types ****
We welcome the submission of five different types of papers: Technical
papers, System or Resource description papers, Study papers, Cultural
application papers and Position papers.
**** Important Dates ****
Submissions due: March 1, 2020
Acceptance notification: April 20, 2020
Camera-ready copies due: May 22, 2020
Conference: June 29 – July 03, 2020
**** More Information ****
More information on the paper types and submission process can be found at
We are happy to announce the fifth Groningen Spring School on Cognitive Modeling (March 30 to April 3, 2020). This year, the Spring School will again cover four different modeling paradigms: ACT-R, Nengo, PRIMs, and error-driven learning. It thereby offers a unique opportunity to learn the relative strengths and weaknesses of these approaches.
Moreover, this year we are offering a lecture series on dynamical systems, which should be interesting for anyone looking into modeling cognitive dynamics at some level of abstraction. We recommend this lecture series as an excellent combination with Nengo, for those interested in neuromorphic computing.
The first day will provide an introduction to all five topics. From day two, spring school students will be asked to commit to one topic, for which they will attend lectures as well as tutorials. In addition, students can sign up for a second topic, for which they will attend lectures only. All students are invited to join a series of plenary research talks on the different paradigms.
On the first day, spring school students are asked to introduce themselves and their research interests in a poster session.
ACT-R is a high-level cognitive theory and simulation system for developing cognitive models for tasks that vary from simple reaction time experiments to driving a car, learning algebra, and air traffic control. ACT-R can be used to develop process models of a task at a symbolic level. Participants will follow a compressed five-day version of the traditional summer school curriculum. We will also cover the connection between ACT-R and fMRI.
Nengo is a toolkit for converting high-level cognitive theories into low-level spiking neuron implementations. In this way, aspects of model performance such as response accuracy and reaction times emerge as a consequence of neural parameters such as the neurotransmitter time constants. It has been used to model adaptive motor control, visual attention, serial list memory, reinforcement learning, Tower of Hanoi, and fluid intelligence. Participants will learn to construct these kinds of models, starting with generic tasks like representing values and positions, and ending with full production-like systems. There will also be special emphasis on extracting various forms of data out of a model, such that it can be compared to experimental data.
How do people handle and prioritize multiple tasks? How can we learn something in the context of one task, and partially benefit from it in another task? The goal of PRIMs is to cross the artificial boundary that most cognitive architectures have imposed on themselves by studying single tasks. It has mechanisms to model transfer of cognitive skills, and the competition between multiple goals. In the tutorial we will look at how PRIMs can model phenomena of cognitive transfer and cognitive training, and how multiple goals compete for priority in models of distraction.
Teachers: Jacolien van Rij and Dorothée Hoppe (University of Groningen)
Error-driven learning (also called discrimination learning) allows to simulate the time course of learning. It is based on the Rescorla-Wagner model (Rescorla & Wagner, 1972) for animal cognition, which assumes that learning is driven by expectation error, instead of behaviorist association (Rescorla, 1988). The equations formulated by Rescorla and Wagner have been used to investigate different aspects of cognition, including language acquisition (e.g., Hsu, Chater, and Vitányi, 2011; St. Clair, Monaghan, and Ramscar, 2009), second language learning (Ellis, 2006), and reading of complex words (Baayen et al, 2011). Although error-driven learning can be applied for all domains in cognitive science, in this course we will focus on how it could be used for modeling language processing and language learning.
Dynamical Systems: a Navigation Guide
Teacher: Herbert Jaeger (University of Groningen)
This lecture-series gives a broad overview over the zillions of formal models and methods invented by mathematicians and physicists for describing “dynamical systems”. Here is a list of covered items: Finite-state automata with and without input, deterministic and non-deterministic, probabilistic), hidden Markov models and partially observable Markov decision processes, cellular automata, dynamical Bayesian networks, iterated function systems, ordinary differential equations, stochastic differential equations, delay differential equations, partial differential equations, (neural) field equations, Takens’ theorem, the engineering view on “signals”, describing sequential data by grammars, Chomsky hierarchy, exponential and power-law long-range interactions, attractors, structural stability, bifurcations, phase transitions, topological dynamics, nonautonomous attractor concepts. In the lectures, I try to work out the underlying connecting lines between the “dots” listed above.
The Faculty of Humanities and Social Sciences at the University of Luxembourg is organizing an International Conference on “The Humanities and the Rise of AI: Implications of Cultural and Societal Engineering” that will take place from 14 to 18 June 2020. The conference is the second part of the series “The Ends of the Humanities”.
Many current discussions on AI are caught up in the attempt to balance questions of what can be done with what should be done. We want to initiate an interdisciplinary conversation that goes beyond this horizon and focuses on the structural changes AI has the potential to bring about – whether we want it or not.
We heartily invite you to share the attached CfP with your members. Thank you very much!
With kind regards,
___________ Dr. Isabell Eva Baumann
University of Luxembourg Campus Belval Maison des Sciences Humaines 11, Porte des Sciences L-4366 Esch-sur-Alzette Luxembourg