KI-Camp 2021. Im Dialog. Mit Algorithmen. Für die Gesellschaft.
Auf dem KI-Camp 2021, der transdisziplinären KI-Forschungs-Convention für den wissenschaftlichen Nachwuchs, treffen sich auf Initiative des Bundesministeriums für Bildung und Forschung (BMBF) und der GI am 27. April 2021 zum zweiten Mal die KI-Forschenden, die nicht unbedingt nebeneinander im Hörsaal sitzen, aber ein gemeinsames Forschungs- und Wirkungsgebiet haben: Künstliche Intelligenz.
In diesen sieben Tracks wird es auf Deutsch und Englisch spannende Themen in interaktiven Formaten geben:
– Gesellschaft – Nachhaltigkeit – Gesundheit und Lebenswissenschaften – Smart Spaces und Mobilität – Produktion – Kunst und Medien – Wissenschaft
Darüber hinaus sucht die GI im Rahmen des KI-Camp erneut 10 junge KI-Newcomer/innen unterschiedlicher Disziplinen, die auf dem KI-Camp gekürt werden.
Die Bewerbungsphase für das KI-Camp 2021 endet am 6. Dezember. KI-Newcomer/innen können bis zum 13. Dezember nominiert werden. Bewerbung und Nominierung sowie weitere Informationen unter www.kicamp.org und www.kicamp.org/en.
Weitere Fragen beantwortet das KI-Camp Team gerne unter email@example.com.
Special Issue on Genetic Programming and Evolvable Machines
The journal “Genetic Programming and Evolvable Machines” (Q2, IF:
1.78) will publish a Special Issue called “Evolutionary computation in
Art, music & Design”. The editors of this Special Issue will be Juan
Romero and Penousal Machado. Some authors from EvoMUSART 2021 will be
invited to submit a new paper to this Special Issue.
The main goal of EvoMUSART is to bring together researchers who are
using Artificial Intelligence techniques (e.g. Artificial Neural
Network, Evolutionary Computation, Swarm, Cellular Automata, Alife)
for artistic tasks such as Visual Art, Music, Architecture, Video,
Digital Games, Poetry, or Design. The conference gives researchers in
the field the opportunity to promote, present and discuss ongoing work
in the area.
Accepted papers will be published by Springer Verlag in the Lecture
Notes in Computer Science series.
Submission deadline: 1 November 2020
Conference: 7-9 April 2021
We welcome submissions which use Artificial Intelligence techniques in
the generation, analysis and interpretation of Art, Music, Design,
Architecture and other artistic fields. Submissions must be at most 16
pages long, in Springer LNCS format. Each submission must be
anonymised for a double-blind review process. The deadline for
submission is 1 November 2020. Accepted papers will be presented
orally or as posters at the event and included in the EvoMUSART
proceedings published by Springer Verlag in a dedicated volume of the
Lecture Notes in Computer Science series.
Indicative topics include but are not limited to:
* Systems that create drawings, images, animations, sculptures,
poetry, text, designs, webpages, buildings, etc.;
* Systems that create musical pieces, sounds, instruments, voices,
sound effects, sound analysis, etc.;
* Systems that create artefacts such as game content, architecture,
furniture, based on aesthetic and/or functional criteria;
* Systems that resort to artificial intelligence to perform the
analysis of image, music, sound, sculpture, or some other types of
* Systems in which artificial intelligence is used to promote the
creativity of a human user;
* Theories or models of computational aesthetics;
* Computational models of emotional response, surprise, novelty;
* Representation techniques for images, videos, music, etc.;
* Surveys of the current state-of-the-art in the area;
* New ways of integrating the user in the process (e.g. improvisation,
Episodic memories are widely regarded as memories of personally experienced
events. Early concepts about episodic memory were based on the storage
model, according to which experiential content is preserved in memory and
later retrieved. However, overwhelming empirical evidence suggests that the
content of episodic memory is – at least to a certain degree – constructed
in the act of remembering. Even though very few contemporary researchers
would oppose this view of episodic memory as a generative process, it has
not become the standard paradigm of empirical memory research. This is
particularly true for studies of the neural correlates of episodic memory.
Further hindering progress are large conceptual differences regarding
episodic memory across different fields, such as neuroscience, philosophy,
and psychology. This interdisciplinary workshop therefore aims to bring
together researchers from all relevant fields to advance the state of the
art in the research on generative episodic memory.
FOR 2812 “Constructing scenarios of the past: A new framework in episodic
memory” consists of 9 researchers. Seven from the Ruhr University Bochum and
two from the University of Münster. The consortium adopts an
interdisciplinary approach and investigates generative episodic memory from
a conceptual, modeling, and experimental perspective using a common
conceptual framework: scenario construction.
Karl-Heinz Bäuml – University Regensburg, Germany
Dorthe Berntsen – Aarhus University, Denmark
Amy Criss – University of Syracuse, USA
Dorothea Debus – University of Konstanz, Germany
David Huber – University of Massachusetts, USA
Sarah Robins – University of Kansas, USA
Abstracts must be submitted in English and be no longer than 1 page.
Submitted work must be original and unpublished. Abstracts must be submitted
electronically through the GEM 2021 paper submission site on EasyChair
Authors will receive confirmation of receipt of their abstracts including an
ID number after submission. You can edit your submission at any time before
the deadline. We will consider only the final version.
Nikolai Axmacher – Faculty of Psychology – Ruhr University Bochum
Sen Cheng – Institute for Neural Computation – Ruhr University Bochum
Gerald Echterhoff – Faculty of Psychology – University of Münster
Albert Newen – Faculty of Philosophy – Ruhr University Bochum
Ricarda Schubotz – Faculty of Psychology – University of Münster
Markus Werning – Faculty of Philosophy – Ruhr University Bochum
Laurenz Wiskott – Institute for Neural Computation – Ruhr University Bochum
Oliver Wolf – Faculty of Psychology – Ruhr University Bochum
1st Call for papers for the EvoStar conference
(Apologies for cross-posting)
EvoStar comprises of four co-located conferences run each spring at
different locations throughout Europe. These events arose out of
workshops originally developed by EvoNet, the Network of Excellence in
Evolutionary Computing, established by the Information Societies
Technology Programme of the European Commission, and they represent a
continuity of research collaboration stretching back over 20 years.
EvoStar is organised by SPECIES, the Society for the Promotion of
Evolutionary Computation in Europe and its Surroundings. This
non-profit academic society is committed to promoting evolutionary
algorithmic thinking, with the inspiration of parallel algorithms
derived from natural processes. It provides a forum for information
We will be organizing a one-day workshop on mental effort within this year’s CogSci 2020 conference (see details below or in the attached document).
We would be grateful if you could forward our call for posters to your students, or anyone else who you think would be interested in attending the workshop.
Poster presentations will be available particularly for early career researchers.
Submission of 250 word abstract: June 29, 2020
Decision of acceptance: July 6, 2020
Workshop: July 29, 2020
======= Call for abstracts =======
Are you working on a project or thesis related to mental effort and want to discuss your ideas? If so, we are inviting you to present a poster during our virtual poster session.
To apply, please submit a 250 word abstract as PDF to firstname.lastname@example.org<mailto:email@example.com>. Your submission title should follow the format “LastName_poster.pdf”.
Conference registration fees are being offered at substantially reduced rates and the Cognitive Science Society is offering free membership.
For more information about the CogSci virtual poster format see: https://cognitivesciencesociety.org/cogsci-virtual/
======= Scope and Goal of the Workshop =======
We can all feel exhausted after a day of work, even if we have spent it sitting at a desk. The intuitive concept of mental effort pervades virtually all domains of human information processing and has become an indispensable ingredient for general theories of cognition. However, inconsistent use of the term across cognitive sciences, including cognitive psychology, education, human-factors engineering and artificial intelligence, makes it one of the least well-defined theoretical constructs across fields.
A number of recent approaches lay the foundation for a consensus by offering formal accounts of mental effort. Yet, reaching a multifield-wide consensus on the operationalization of mental effort will require cross-talk between different empirical and computational approaches, including symbolic architectures, non-parametric Bayesian statistics and neural networks. The purpose of this full-day workshop is to review and integrate these emerging perspectives. To achieve this goal, we invited experts in these fields to present an accessible summary of their research, and allocate ample time for dialogue and audience participation across two panel discussions and a poster session. Key questions of discussion will include (but are not limited to):
* What are the experimental phenomena that lay a foundation for theories of mental effort?
* What is the common ground in operationalizing mental effort across different domains of cognitive science?
* Which modeling approach(es) is (are) best suited to answer which questions regarding mental effort?
The workshop is specifically designed to attract scholars with expertise in different modeling frameworks who seek to expand their interest to other methodologies.
======= List of Speakers =======
Matthew M. Botvinick (Google Deepmind, University College London)
Jonathan D. Cohen (Princeton University, Princeton Neuroscience Institute)
Ivan Grahek (Brown University)
Thomas L. Griffiths (Princeton University)
Wouter Kool (Washington University in St. Louis)
Sebastian Musslick (Princeton University)
Lena Rosendhal (Princeton University)
Nele Russwinkel (Technische Universität Berlin)
Amitai Shenhav (Brown University)
Eliana Vassena (Radboud University)
Tom Verguts (Ghent University)
Maria Wirzberger (University of Stuttgart)
Assist. Prof. Dr. Maria Wirzberger
Department of Teaching and learning with intelligent systems
University of Stuttgart
Institute of Educational Science
70174 Stuttgart, Germany
LEAD Graduate School & Research Network
Max Planck Institute for Intelligent Systems
KI is one of the major European AI conferences and traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results on theory and applications. The technical program of KI2020 comprises paper presentations as well as tutorials and workshops. Please find the detailled scope of the conference and submission information in the Call for Papers.
The technical program of KI2020 comprises paper presentations as well as tutorials and a workshop.
The Call for Papers and the Call for Tutorials for the 15th Biannual Conference of the German Cognitive Science Society, KogWis2020, are now open! We are pleased to invite submissions.
We kindly ask you to announce the calls on your website and/or to forward it to cooperating institutes, colleagues and students possibly interested. Thank you very much in advance!
See below all further information needed.
Event: The 15th Biannual Conference of the German Cognitive Science Society, KogWis2020
Theme: Understanding Minds
Date: 7.-9. September 2020
Location: Freiburg im Breisgau, Germany
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., Germany, 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.
+++ The call for papers is now open (deadline: May 4th, 2020) +++ The call for tutorials is now open (deadline: May 4th, 2020) +++ The call for symposia is open (deadline: March 8th, 2020). +++
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)
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 8, 2020
Acceptance notification: April 20, 2020
Camera-ready copies due: May 22, 2020
Conference: June 29 – July 3, 2020
**** More Information ****
More information on the paper types and submission process can be found at
– General Chair Amilcar Cardoso, University of Coimbra, Portugal
– Program Chairs: Penousal Machado, University of Coimbra, Portugal and
Tony Veale, University College Dublin, Ireland
– Local Chair: Pedro Martins, University of Coimbra, Portugal
– Media Chair: João Miguel Cunha, University of Coimbra, Portugal
– Workshop Chairs: Oliver Kutz, University of Bozen/Bolzano, Italy and
Sofia Pinto, Technical University of Lisbon, IST
– Tutorial Chair: Christian Guckelsberger, Queen Mary University, London
– Code-Camp Chairs: Hugo Oliveira, University of Coimbra, Portugal and
Philipp Wicke, University College Dublin, Ireland.