(Apologies for cross-posting)
The Special Session on Evolutionary Machine Learning (EML) of Evo Apps
will provide a specialized forum of discussion and exchange of
information for researchers interested in exploring approaches that
combine nature and nurture, with the long-term goal of evolving
Artificial Intelligence (AI).
Giving response to the growing interest in the area, and consequent
advances of the state-of-the-art, the special session covers
theoretical and practical advances on the combination of Evolutionary
Computation (EC) and Machine Learning (ML) techniques.
Topics of interest include, but are not limited to:
– EC as an ML technique: Using EC to solve typical ML tasks such as
Classification or Clustering
– EC applied ML algorithms: Neuroevolution, Feature Selection, Feature
Engineering, Evolutionary Adversarial Models
– ML applied to EC: Surrogate-model design by ML for EC, Learning
Problem Structure, ML for Diversity, Designing Search Strategies,
Predicting Promising Regions, Using ML to Decrease Computational
– Real world applications issues: EC for Fairness, Robustness,
Trustworthiness and Explainability; Green EML
– Emerging topics: EC for AutoML; EC for Transfer Learning; EC for
Multitasking; Evolving Learning Functions, Neurons and Linkage; EC for
Verification and Validation of ML
Submission deadline: 1 November 2019
Evo*: 15-17 April 2020
Submissions must be original and not published elsewhere. They will be
peer reviewed by members of the program committee. The reviewing
process will be double-blind, so please omit information about the
authors in the submitted paper. Submit your manuscript in Springer
LNCS format and provide up to five keywords in your Abstract.
The Immersive Learning Research Network (iLRN) is a burgeoning global network of researchers and practitioners collaborating to develop the scientific, technical, and applied potential of immersive learning. Its annual conference is the premier scholarly event focusing on advances in the use of virtual reality (VR), augmented reality (AR), mixed reality (MR), and other extended reality (XR) technologies to support learners and learning. Leading scholars and professionals operating in formal education settings as well as those representing diverse industry sectors will converge on the historic and picturesque coastal city of San Luis Obispo, California for iLRN 2020, where they will share their research findings, experiences, and insights; network and establish partnerships to envision and shape the future of XR and immersive technologies for learning; and contribute to the emerging scholarly knowledge base on how these technologies can be used to create experiences that educate, engage, and excite learners.
##### SESSSION TYPES & SESSION FORMATS #####
*** Academic Stream ***
(Refereed papers for proceedings)
– Full or short paper for oral presentation
– Short or work-in-progress paper for poster presentation
– Work-in-progress paper for doctoral colloquium
*** Practitioner Stream ***
(No paper – refereed on the basis of abstract)
– Oral presentation
– Poster presentation
– Demo showcase
*Full and short papers can only be submitted in the main round.
##### PUBLICATION & INDEXING #####
Accepted and registered papers presented at iLRN 2020 will be published in the conference proceedings and submitted to the IEEE Xplore® digital library. IEEE makes Xplore content available to its abstracting & indexing partners, including Elsevier (Scopus, Ei Compendex) and Clarivate Analytics (CPCI – part of Web of Science).
“Explainable Intelligent Systems” (EIS) is an interdisciplinary research project at Saarland University and the University of Zurich, funded by a generous grant from the Volkswagen Foundation. Together with CPEC, the Center for Perspicuous Computing TRR 248, EIS invites to a workshop on issues in Explainable AI.
EIS is concerned with questions such as:
+ How does the need for trustworthy intelligent systems induce a need for explainable AI?
+ What kind of explanations do intelligent systems need to provide of their behavior in particular contexts?
+ How can such systems be designed so as to provide the needed explanations?
The workshop brings together experts from philosophy, computer science, law, and psychology to tackle questions such as the above.
+ Dan Brooks (University of Cincinnati)
+ Hans-Johann Glock (University of Zurich)
+ Geoff Keeling (Leverhulme Centre for the Future of Intelligence, Cambridge)
+ Farzad Nozarian (DFKI, Saarland University)
+ Rune Nyrup (Leverhulme Centre for the Future of Intelligence, Cambridge)
+ Sonja Ötting (University of Bielefeld)
+ Alejandro Saucedo (Institute for Ethical AI and Machine Learning, London)
+ Marija Slavkovik (University of Bergen)
+ Clemens Stachl (Ludwig-Maximilians-Universität Munich)
+ Silja Vöneky (University of Freiburg)
The workshop includes both traditional talks and interactive discussion sessions. Additionally, there will be a public outreach event (in German) on “Explainable Intelligent Systems: Understanding. Responsibility. Trust”. It will consist of a public keynote by Silja Vöneky and a subsequent panel discussion, to take place at Saarbrücken’s town hall, see https://explainable-intelligent.systems/offentliche-veranstaltungen
Call for papers for the 9th EvoMUSART conference
(Apologies for cross-posting)
The 9th International Conference on Computational Intelligence in
Music, Sound, Art and Design (EvoMUSART) will be held in Seville,
Spain, on 15-17 April 2020, as part of the evo* event.
The main goal of EvoMUSART is to bring together researchers who are
using Computational Intelligence techniques (e.g. Evolutionary
Computation, Artificial Neural Networks, Artificial Life, Machine
Learning, Swarm Intelligence) 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 2019
Evo*: 15-17 April 2020
We welcome submissions which use Computational 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 (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0). Each
submission must be anonymised for a double-blind review process. The
deadline for submission is 1 November 2019. 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 computational intelligence to perform the
analysis of image, music, sound, sculpture, or some other types of
* Systems in which computational 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,
Call for papers for the EvoStar conference
(Apologies for cross-posting)
*** Overview ***
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
Topics to be covered include, but are not limited to:
Innovative applications of GP, Theoretical developments, GP
performance and behaviour, Fitness landscape analysis of GP,
Algorithms, representations and operators for GP, Search-based
software engineering, Genetic improvement programming, Evolutionary
design, Evolutionary robotics, Tree-based and Linear GP, Graph-based
and Grammar-based GP, Evolvable hardware, Self-reproducing programs,
Multi-population GP, Multi-objective GP, Parallel GP, Probabilistic
GP, Object-orientated GP, Hybrid architectures including GP,
Coevolution and Modularity in GP, Semantics in GP, Unconventional GP,
Automatic software maintenance, Evolutionary inductive programming,
Evolution of automata or machines.
EvoApplications, the International Conference on the Applications of
Evolutionary Computation -formerly known as EvoWorkshops- brings
together researchers in a variety of areas of application of
Evolutionary Computation and other Nature-inspired techniques.
Which include the following topics:
Applications of metaheuristics to combinatorial optimisation problems,
Representation techniques, Practical solution of NP-hard problems,
Neighbourhoods and efficient algorithms for searching them, Variation
operators for stochastic search methods, Theoretical developments,
Constraint-handling techniques, Parallelisation and grid computing,
Search space and landscape analyses, Comparisons between different
(also exact) methods, Heuristics, Genetic programming and Genetic
algorithms, Tabu search, iterated local search and variable
neighbourhood search, Ant colony optimisation, Artificial immune
systems, Scatter search, Particle swarm optimisation, Memetic
algorithms, Hybrid methods and hybridisation techniques, Matheuristics
(hybrids of exact and heuristic methods), Hyper-heuristics and
autonomous search, Automatic algorithm configuration and design,
Metaheuristics and machine learning, Surrogate-model-based methods,
Estimation of distribution algorithms, String processing, Scheduling
and timetabling, Network design, Vehicle routing, Graph problems,
Satisfiability, Packing and cutting problems, Energy optimisation
problems, Multi-objective optimisation, Search-based software
Which include the following topics and subtopics:
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 functional criteria;
Robotic-Based Evolutionary Art and Music; Other related artificial
intelligence or generative techniques in the fields of Computer Music,
Computer Art, etc.
Computational Aesthetics, Experimental Aesthetics; Emotional Response,
Surprise, Novelty; Representation techniques; Surveys of the current
state-of-the-art in the area; identification of weaknesses and
strengths; comparative analysis and classification; Validation
methodologies;Studies on the applicability of these techniques to
related areas; New models designed to promote the creative potential
of biologically inspired computation.
.Computer Aided Creativity and Computational Creativity
Systems in which computational intelligence is used to promote the
creativity of a human user; New ways of integrating the user in the
evolutionary cycle; Analysis and evaluation of: the artistic potential
of biologically inspired art and music; the artistic processes
inherent to these approaches; the resulting artefacts; Collaborative
distributed artificial art environments.
Techniques for automatic fitness assignment; Systems in which an
analysis or interpretation of the artworks is used in conjunction with
computational intelligence techniques to produce novel objects;
Systems that resort to computational intelligence approaches to
perform the analysis of image, music, sound, sculpture, or some other
types of artistic object or resource.
Submission Deadline: November 1, 2019
Conference: April 15-17, 2020
Venue: Seville, Spain
All accepted papers will be printed in the proceedings published by
Springer Verlag in the Lecture Notes in Computer Science (LNCS)
** An interdisciplinary networking event / scientific workshop **
We would like to draw your attention to an upcoming scientific community
A lot is known about the neural signals underlying basic sensorimotor
processes and also a fair bit about the cognitive processes
involved in reasoning, problem-solving, or language. However, explaining
how high-level cognition can arise from low-level
mechanisms is a long-standing open problem in Cognitive Science. Therefore,
this workshop tackles problems such as grammar
learning, structured representations, or the production of complex
behaviors with neural modeling, aiming to contribute to the
re-integration of Cognitive Science and Artificial Intelligence.
*COMCO 2019* brings together experts studying the mind from a computational
point of view to better understand human and
machine intelligence. Thus, if you are interested in the following or
related fields, this event is for you:
This workshop will combine poster sessions and, invited speakers and
participants contributed talks in a networking and
ideas-exchanging event on the splendid setting of the Botanical Garden in
Invited and confirmed speakers:
– *Karl Friston*, University College London
– *Colin Phillips*, University of Maryland
– *Roger Levy*, Massachusets Institute of Technology
– *Terrence Stewart*, University of Waterloo
– *Will Monroe*, Standford University and Duolingo
– *Dieuwke Hupkes*, University of Amsterdam
We encourage participants to submit a 1-page (A4 format) abstract for
presenting their research projects at the poster session
and/or to give a 20 minute contributed talk among our invited speakers. For
that, please note the following deadlines:
– Abstract submission: September 1st
– Acceptance notification: September 10th
– Bachelor and Master students: 50 Euro
– Other participants: 125 Euro
Also, please note the following deadlines:
– Registration: September 1st
– Registration fee payment: September 15th
– Registration cancellation: September 20th
We are looking forward to meeting you at the workshop!
Children acquire language in interactions with caregivers and peers in a socio-cultural environment. When children start to talk, their visual perception, body movement, navigation, object manipulation is already reaching some level of competence. Together with developing auditory control, initial schemas for social interactions (games), communication arises gradually and embedded into the social-interactionist environment. Even though there are various efforts in developmental robotics to model communication, the emergence of symbolic communication is still an unsolved problem. We are lacking convincing theories and implementations that show how cooperation and interaction knowledge could emerge in long-term experiments with populations of robotic agents.
Workshop format – Invited Speakers
The workshop is planned as a full day workshop, allowing for three sessions of three talks each (20 minutes plus discussion each). There will be a total of 9 invited talks by senior researchers. Talks by senior researchers are followed by a poster session (at the end and during the first coffee break).
– Matthias Scheutz (Tufts University, US)
– Chen Yu (Indiana University, US)
– Kaya de Barbaro (U Texas, US)
– Joanna Rączaszek-Leonardi (U Warsaw, PL) – tentative
– Katharina Rohlfing (UPaderborn, DE) – tentative
Submission and Publication
We invite short abstracts (half a page up to two pages) for the workshop. The accepted abstracts will be presented in a poster session. We want to give researchers a chance to present their (ongoing) work. But we also want to provide a forum for relevant work that has recently been published in journals and other conferences.
The summer school aims to provide state-of-the-art scientific and
research-oriented training on recent developments in situated approaches
to cognition in various research fields such as philosophy, psychology,
and neuroscience. We invite highly promising doctoral students and early
postdoctoral researchers from European and overseas universities and
research institutions. The open and constructive setting provides an
opportunity for networking, which is complemented by intensive
discussions and interactions with leading experts and fellow students.
Call for papers and posters:
Tuition is free, thanks to the DFG-Graduiertenkolleg/Research Training
Group “Situated Cognition” located at the Ruhr University Bochum and the
University of Osnabrück.
We invite applications from PhD students and post-doctoral researchers
for poster presentations and a few contributing talks. Accepted
presenters who do not have their own institutional funding will receive
support: 150 Euros for those based in Europe and 250 Euro for non-EU
students or researchers. This support will be limited to 20 persons (to
be decided after acceptance).
Leading researchers from the fields of philosophy, experimental and
developmental psychology, as well as cognitive neuroscience will present
state-of-the-art research in the following areas:
* situated social cognition
* the concept of mental representation
* the role of gestures for cognition
* situated cognitive development
* spatial navigation
* perception-cognition interrelation
* agency & perception-action
List of confirmed keynote speakers (alphabetical order):
* Olaf Blanke (Neuroscience, EPFL Lausanne, Switzerland)
* Shaun Gallagher (Philosophy, University of Memphis, USA)
* Autumn Hostetter (Psychology, Kalamazoo College, USA)
* Fiona Macpherson (Philosophy, University of Glasgow, Scotland)
* Nicholas Shea (Philosophy, King’s College London, UK)
* Tricia (Striano) Skoler (Psychology, Hunter College, USA)
* Thomas Staufenbiel (Psychology, Universität Osnabrück, Germany)
Further speakers tba. These will include those selected in the course of
the call for papers.
How to apply?
Applicants are asked to submit the following until June 15 (notification
of acceptance in late June): Completed online application in EasyChair
by uploading one PDF file containing:
* a statement of interest/motivation (not more than 300 words)
* CV, including a list of publications (if applicable)
* an abstract of 500-700 words summarizing the presentation with a
statement whether the application is for a poster, a talk, or both
The workshop “Measuring Creativity” is part of the CogSci 2019 – the 41st Annual Meeting of the Cognitive Science Society, to be held in Montreal, Canada on Wednesday, July 24th – Saturday, July 27th, 2019 (Wednesday, July 24th is the Tutorials and Workshops day).
Various methods exist for measuring creativity, most of them in the form of creativity tests, like the Remote Associates Test, the Alternative Uses Test, TTCT, the Wallach-Kogan tests, insight problems, etc.
However, the feasibility and dependability of various types of psychometric assessment and administration of measures, as pertaining to various creativity tasks, have recently been questioned and enriched. The thought and work on the measurement of creativity are witnessing a new revival.
Recently, new methods of computationally creating stimuli for greater measurement accuracy have been developed, inspired by artificial cognitive systems that solve creativity tests. Such computational psychometrics methods have already shown to provide designs with greater control and the computational resurrection of tests which were initially proposed theoretically.
This workshop will focus on building a red thread of discussion on the current state of creativity psychometrics, integrating topics on existing classic and novel, manual and computational methods of testing and measuring creativity. The following questions will be addressed:
What creativity measuring methods exist and what are their strengths and weaknesses?
Which creativity factors are measured by the existing creativity methods? Is there an overlap of measuring methods for different factors? Are they the factors for which no methods exist or current methods are not yet up to the task?
What is the suitability of existing current methods for empirical testing versus computational modelling?
How can comparability be ensured across creativity test item sets?
What creativity metrics and methods can be used in evaluating the computational modelling of creativity?
What is the impact of artificial cognitive systems and their evaluation on creativity metrics? Of computational creativity systems and their evaluation?
What are the new computational and automatized measures of creativity, and what is their role in the ecosystem of measures?
Subjective and objective measures of creativity.
The workshop will involve three elements:
Three invited speakers from different backgrounds (Cognitive Psychology, Cognitive Neuroscience, Cognitive Systems – Computer Science) will present existing creativity measuring methods
Short presentations of papers and posters will be accepted on the topic.
The workshop will end with a panel discussion, focused on establishing future directions for methods and systems aimed at supporting creativity and problem-solving.
Measuring Creativity welcomes papers on one or more of the general topics of Cognitive and Computational methods, creative problem solving and computational creativity. Both theoretical, computationally applied and empirical papers will be accepted. We especially welcome papers which aim to bring together some of these topics.
Creativity measures and Tests
Psychometrics for Creative Cognition
Computational methods for measuring creative cognition
Artificial creative cognitive systems
Creative problem solving
Evaluation of natural and computational cognitive systems
Associativity and Conceptual Spaces
Semantic networks and semantic graphs
Ill-structured problem solving and Structured representations
Creativity modelling approaches and their relation to evaluation, including Case-based reasoning, Neural networks, Evolutionary algorithms
Analogy and Metaphor
Creative assistive systems
Two types of papers are welcome:
Full research papers – up to 10 pages in LNCS format + references.
Poster abstract submissions – up to 5 pages in LNCS format (including references).
For formats, please visit our workshop’s Call For Papers webpage.
For any problems related to submission please contact Ana-Maria Olteteanu (email: ana-maria dot olteteanu at fu-berlin dot de).
The papers submitted for this workshop will be published as a CEUR-WS volume. If enough high-quality papers are received, a Special Issue will be proposed by the organizer to the Cognitive Systems Research journal, or a topic proposal will be made to TopiCS in Cognitive Science.
Submission of abstracts for full research papers (optional) – 7th of June, 2019.
Submission of full papers and poster abstracts – 15th of June, 2019.
Notification of acceptance – 21st of June, 2019.
Camera-ready version – 1st of July, 2019
Richard Hass, Thomas Jefferson University, US
Evangelia Chrysikou, Drexel University, US
Ana-Maria Olteteanu, Freie Universität Berlin, Germany
Program Committee (more to be added soon!)
Aenne Brielmann, New York University
Antonio Lieto, University of Turin
Ashok K. Goel, Georgia Institute of Technology, School of Interactive Computing
Boris Forthmann, University of Münster
Carlos Leon, Complutense University of Madrid
Evangelia Chrysikou, Drexel University
Kai Wang, Kean University
Karolina Rataj, Adam Mickiewicz University
Liane Gabora, University of British Columbia
Richard Hass, Philadelphia University
Sebastien Helie, Purdue University
The concept of representation is ubiquitous in cognitive science and in
the philosophy of mind. It seems to play two roles: on the one hand,
neural representationsare postulated by neuroscientists to explain
sub-personal phenomena such as the processing of visual information in
the brain. On the other hand, mental representations are taken to
explain person-level phenomena, such as imagination, or consciousness.
Mental representations are used to make sense of beliefs and other
propositional attitudes and posits of folk psychology.
Non-representationalists contend that postulating representations of any
sort is unnecessary or problematic. Especially the traditional objection
against representationalism, the causal impotence of representational
content, gets new force in the light of the new-mechanical approach to
explanation in life sciences. According to the new mechanists, to
explain a phenomenon is to show how it is produced by an underlying
mechanism. The challenge for representationalists is to explain how
representations can figure in these mechanisms and show that mental
representations have a place in a mechanical world.
One core question of this workshop is whether the status of neural and
mental representation is equally problematic. While sub-personal
phenomena seem to be less resistant to mechanistic explanation, many
personal-level mental phenomena seem to be “representation hungry”.
A second core question concerns the relationship between neural and
mental representations. It is often assumed that the former are needed
to account for the latter. However, naturalising neural representations,
and accounting for their explanatory utility in a mechanistic
neuroscience proves difficult. How intertwined are beliefs and desires
with neural representations? Do they only come together, or is a
conceptual repertoire including one but not the other a coherent
Joe Dewhurst (LMU)
Carrie Figdor (Iowa)
Jolien Francken (Amsterdam)
Matej Kohar (RUB)
Beate Krickel (RUB)
Marcin Milkowski (Polish Academy of Sciences)
Karina Vold (Cambridge)
Call for Papers: A number of further presentation slots have been
reserved for interested scholars selected by double-blind peer review
process. The contributions should be suitable for a 30 minute
presentation. To apply, submit an anonymised abstract of 1000 words
making the thesis and argument of your contribution transparent by 16th
June via EasyChair: https://easychair.org/conferences/?conf=mrmw2019.
Selected participants will be notified by the end of August.