Groningen Spring School on Cognitive Modeling: March 30 to April 3, 2020

Fifth Groningen Spring School on Cognitive Modeling
– ACT-R, Nengo, PRIMs, error-driven learning, and dynamical systems. –

Date: March 30 to April 3, 2020
Location: Groningen, the Netherlands
Fee: € 250 (late fee after February 15 will be € 300)
More information and registration: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool>

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.

Registration is now open. For more information and registration, please see the website: www.cognitive-modeling.com/springschool <http://www.cognitive-modeling.com/springschool>

Please feel free to forward the information to anyone who might be interested in the Spring School.

We are looking forward to welcoming you in Groningen,

The Spring School team

______________

ACT-R
Teachers: Jelmer Borst, Maarten van der Velde, Stephen Jones, & Katja Mehlhorn (University of Groningen)
Website: http://act-r.psy.cmu.edu <http://act-r.psy.cmu.edu/>.

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
Teacher: Terry Stewart (University of Waterloo)
Website: http://www.nengo.ca <http://www.nengo.ca/>

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.

PRIMs
Teacher: Niels Taatgen (University of Groningen)
Website: https://www.ai.rug.nl/~niels/prims/index.html <https://www.ai.rug.nl/~niels/prims/index.html>

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.

Error-driven learning
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.


Call for papers: Humanities and the rise of AI

Dear colleagues,

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,
Isabell Baumann
 
___________
Dr. Isabell Eva Baumann

University of Luxembourg
Campus Belval
Maison des Sciences Humaines 
11, Porte des Sciences 
L-4366 Esch-sur-Alzette
Luxembourg

Office: 3.214
Phone: +352 46 66 44 9331
Mail: isabell.baumann@uni.lu
Homepage: Isabell Baumann

[Deadline Extension] EvoStar 2020 – Seville, Spain, 15-17 April 2020

————————————————
Call for papers for the EvoStar conference

Please distribute
(Apologies for cross-posting)
————————————————

******  NEWS  *****

. Due to a large number of requests for late submissions, the EvoStar
submission websites will stay open until Friday, November 15!
Authors who have already submitted, can update their work until this time.

. New webpage for evostar2020 is now online, bookmark it!

http://www.evostar.org/2020/

. This year we have 6 special sessions for EvoAPPS2020 on the following topics:

– BioSocNet – Applications of Bio-inspired techniques on Social Networks
http://www.evostar.org/2020/evoapps/biosocnet/
– Evolutionary Computation in Digital Healthcare and Personalized Medicine
http://www.evostar.org/2020/evoapps/ecdhpm/
– Soft Computing applied to Games
http://www.evostar.org/2020/evoapps/scag/
– Applications of Deep Bioinspired Algorithms
http://www.evostar.org/2020/evoapps/adba/
– Distributed and Parallel Systems
http://www.evostar.org/2020/evoapps/dps/
– Evolutionary Machine Learning
http://www.evostar.org/2020/evoapps/eml/

Stay in touch with the website for updates!

http://www.evostar.org/2020/cfp_evoapps.php

***********************

*** 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
and exchange.

The four conferences include:
– EuroGP 23rd European Conference on Genetic Programming
http://www.evostar.org/2020/cfp_eurogp.php

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 23rd European Conference on the Applications of
Evolutionary and bio-inspired Computation
http://www.evostar.org/2020/cfp_evoapps.php

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.

EvoApplications solicits high-quality original research papers
(including significant work-in-progress) on any aspect of applications
of Evolutionary Computation, both to real-world or methodological
contexts in which Evolutionary Computation can contribute to pushing
the limits of the state of the art beyond the present ones.

In addition to the regular session, 6 special sessions will be
organized on the following topics:
– BioSocNet – Applications of Bio-inspired techniques on Social Networks
– Evolutionary Computation in Digital Healthcare and Personalized Medicine
– Special Session on Soft Computing applied to Games
– Applications of Deep Bioinspired Algorithms
– Distributed and Parallel Systems
– Evolutionary Machine Learning

– EvoCOP 20th European Conference on Evolutionary Computation in
Combinatorial Optimisation
http://www.evostar.org/2020/cfp_evocop.php

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
engineering.

– EvoMUSART 9th International Conference (and 14th European event) on
Computational Intelligence in Music, Sound, Art and Design
http://www.evostar.org/2020/cfp_evomusart.php

Which include the following topics and subtopics:
.Generation
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.
.Theory
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.
.Automation
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.

*** Important Dates, Venue and Publication ***

Extended! Submission Deadline: November 15, 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)
series.

*** More Information ***

Please, check the website for more information:
http://www.evostar.org/2020/

And follow us at:
facebook – https://www.facebook.com/evostarconf/
twitter – https://twitter.com/Evostar2020/


[EXTENDED DEADLINE]: 9th International Conference EvoMUSART

————————————————
[EXTENDED DEADLINE] Call for papers for the 9th International
Conference on Artificial Intelligence in Music, Sound, Art and Design
(EvoMUSART)

Please distribute

(Apologies for cross-posting)
————————————————

The 9th International Conference on Artificial 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.

SPECIAL ISSUES: There are two special issues on JCR journals
associated to EvoMUSART: “Neural Computing and Applications” (Q1, IF:
4.66) and “Entropy” (Q2, IF: 2.419). See EvoMUSART 2020 webpage for
more information on these special issues.

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.

IMPORTANT DATES
Extended! Submission deadline: 15 November 2019

Evo*: 15-17 April 2020

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 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 artificial intelligence to perform the
analysis of image, music, sound, sculpture, or some other types of
artistic object;

* 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,
co-creation, participation).

More information on the submission process and the topics of EvoMUSART
can be found at:
http://www.evostar.org/2020/cfp_evomusart.php

Papers published in EvoMUSART can be found at:
https://evomusart-index.dei.uc.pt

We look forward to seeing you in Seville in 2020!

The EvoMUSART 2020 organisers
Juan Romero
Aniko Ekart
Tiago Martins (publication chair)
——————————————


“Interaktion mit Hirn”: Veranstaltung am 27. November 2019 in Stuttgart

Liebe Kolleginnen und Kollegen,

Mensch und Technik arbeiten in Zukunft immer enger zusammen. Umso wichtiger wird es künftig, dass der Mensch mit seinen individuellen Bedürfnissen und Fähigkeiten bei der Interaktion mit Maschinen oder Software optimal unterstützt wird. Dabei helfen neuroadaptive Technologien.

Das Fraunhofer IAO lädt Sie herzlich dazu ein, die Einsatzmöglichkeiten und Potenziale dieses neuen Forschungsgebiets kennenzulernen bei der Veranstaltung:

“Interaktion mit Hirn”
am 27. November 2019 in Stuttgart

Erfahren Sie in verschiedenen Veranstaltungsformaten, inwiefern Unternehmen aller Branchen von den Entwicklungen im Bereich neuroadaptiver Technologien profitieren können. Die Fachvorträge vereinen Perspektiven aus Forschung und Wirtschaft.

Finden Sie u.a. heraus, welche Potenziale neuroadaptive Systeme für das Lernen haben (Dr. Maria Wirzberger, Max-Planck-Institut für Intelligente Systeme), ob Maschinen Emotionen empfinden können (Eileen Baum, Noldus Information Technology) und diskutieren Sie in einem interaktiven Workshop gemeinsam über Herausforderungen und mögliche Lösungsansätze.

Das Programm sowie die Möglichkeit zur Anmeldung finden Sie auf der Veranstaltungswebsite unter https://www.iao.fraunhofer.de/lang-de/veranstaltungen/641/interaktion-mit-hirn.html.

Im Zuge der Anmeldung besteht die Möglichkeit, einen Rabatt von 100€ auf die Teilnahmegebühr zu erhalten. Bitte geben Sie dazu im Bemerkungsfeld bei der Anmeldung folgenden Code an: Brain 2020

Das Fraunhofer IAO freut sich, Sie bei der Veranstaltung zu begrüßen. Für Rückfragen stehen die Organisatoren Dr. Matthias Peissner und Dr. Mathias Vukelic gerne zur Verfügung.

Dr. Matthias Peissner
Leiter Forschungsbereich “Mensch-Technik-Interaktion”
Fraunhofer IAO
Nobelstraße 12, 70569 Stuttgart
Telefon +49 711 970-2311
matthias.peissner@iao.fraunhofer.de
www.iao.fraunhofer.de
www.hci.iao.fraunhofer.de

Dr. Mathias Vukelic
NeuroLab – Angewandte Neurowissenschaften und Neuroadaptive Technologien
Fraunhofer IAO
Nobelstraße 12, 70569 Stuttgart
Telefon +49 711 970-5183
mathias.vukelic@iao.fraunhofer.de
www.iao.fraunhofer.de
www.hci.iao.fraunhofer.de

Herzliche Grüße,
Maria Wirzberger

Dr. Maria Wirzberger
Postdoctoral Researcher
Max Planck Research Group “Rationality Enhancement”

Max Planck Institute for Intelligent Systems
Max-Planck-Ring 4
72076 Tübingen
Germany

Office:   S2.009
Phone:  +49 7071 601 – 1313
Email:     <mailto:maria.wirzberger@tuebingen.mpg.de> maria.wirzberger@tuebingen.mpg.de
Web:     https://re.is.mpg.de/~mwirzberger | https://maria-wirzberger.de <https://maria-wirzberger.de/>


EvoApps Special Session on Evolutionary Machine Learning

——————————————————–
Call for papers
EvoApps Special Session on Evolutionary Machine Learning

http://www.evostar.org/2020/evoapps/eml/

Please distribute
(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
Effort
– 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

Important Dates
Submission deadline: 1 November 2019
Evo*: 15-17 April 2020

Submission details:
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.

Page limit: 16 pages

Submission link: https://easychair.org/conferences/?conf=evo2020

Organizers

Penousal Machado
Wolfgang Banzhaf


2020 Immersive Learning Research Network (iLRN) Conference

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

CALL FOR PAPERS AND PROPOSALS

iLRN 2020: 6th International Conference of the Immersive Learning Research Network

June 21–25, 2020, San Luis Obispo, California, USA

Technically co-sponsored by the IEEE Education Society, with proceedings to be submitted for inclusion in IEEE Xplore®

Conference theme: “Vision 20/20: Hindsight, Insight, and Foresight in XR and Immersive Learning”

+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Conference website: https://immersivelrn.org/ilrn2020/ <https://immersivelrn.org/ilrn2020/>

Full CFP available at: https://immersivelrn.org/wp-content/uploads/iLRN2020_CFP.pdf <https://immersivelrn.org/wp-content/uploads/iLRN2020_CFP.pdf>

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

*** Non-Traditional Formats ***
– Pre-conference workshops
– Special sessions
– Panel sessions

Please see the conference website for templates and guidelines.

##### TOPIC AREAS #####

XR and immersive learning in/for:
– Serious Games
– Medical & Healthcare
– Workforce & Industry
– Culture & Language
– K-12
– Museums & Libraries
– Special Education
– Geosciences
– Data Visualization

##### IMPORTANT DATES #####

– Main submission deadline*: 2020-01-06
– Main-round notifications: 2020-03-23
– Camera-ready papers (Main): 2020-04-06
– Late submission deadline*: 2020-03-30
– Late-round notifications: 2020-04-27
– Camera-ready papers (Late): 2020-05-11
– Conference: 2020-06-21 to 2020-06-25

*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).

##### CONTACT #####

conference@immersivelrn.org <mailto:conference@immersivelrn.org>


CfR Workshop “Issues in Explainable AI”, Saarbrücken, Sept 30 – Oct 02, 2019

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Issues in Explainable AI:
Black Boxes, Recommendations, and Levels of Explanation

Saarbrücken, Germany
Sept 30 – Oct 02, 2019

An EIS Workshop

https://explainable-intelligent.systems/workshop/

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

“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.

Invited speakers:
+ 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

The workshop is organized by EIS and its partners
+ Center for Perspicuous Computing https://perspicuous-computing.science/
+ Saarland University https://www.uni-saarland.de/
+ Universität Zürich https://www.uzh.ch/
in cooperation with
+ Leverhulme Centre for the Future of Intelligence, Cambridge
+ TU Delft
+ German Research Center for Artificial Intelligence DFKI

Further and up-to-date information can be found here: https://explainable-intelligent.systems/workshop/

Participation  in the event is free of charge, but a registration is required for  logistic reasons, by e-mail to Jeannette Lang  <jeanette.lang@explainable-intelligent.systems>.


EvoMUSART 2020 – 9th Int. Conf. on Comput. Intelligence in Music, Sound, Art & Design

————————————————
Call for papers for the 9th EvoMUSART conference

Please distribute
(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.

Important dates:
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
artistic object;
* 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,
co-creation, participation).

More information on the submission process and the topics of EvoMUSART
2020 can be found at:
http://www.evostar.org/2020/cfp_evomusart.php

Papers published in EvoMUSART can be found at:
https://evomusart-index.dei.uc.pt

We look forward to seeing you in Seville in 2020!

The EvoMUSART 2020 organisers
Juan Romero
Aniko Ekart
Tiago Martins (publication chair)


EvoStar 2020 – The Leading European Event on Bio-Inspired Computation

————————————————
Call for papers for the EvoStar conference

Please distribute
(Apologies for cross-posting)
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*** 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
and exchange.

The four conferences include:
– EuroGP 23rd European Conference on Genetic Programming
http://www.evostar.org/2020/cfp_eurogp.php

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 23rd European Conference on the Applications of
Evolutionary and bio-inspired Computation
http://www.evostar.org/2020/cfp_evoapps.php

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.

– EvoCOP 20th European Conference on Evolutionary Computation in
Combinatorial Optimisation
http://www.evostar.org/2020/cfp_evocop.php

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
engineering.

– EvoMUSART 9th International Conference (and 14th European event) on
Computational Intelligence in Music, Sound, Art and Design
http://www.evostar.org/2020/cfp_evomusart.php

Which include the following topics and subtopics:
.Generation
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.
.Theory
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.
.Automation
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.

*** Special Session EvoApplications ***

This year there is a call for “Special Sessions” in EvoAPPs:
http://www.evostar.org/2020/cfp_evoapps.php

Deadline: September 10th, 2019.

*** Important Dates, Venue and Publication ***

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)
series.

*** More Information ***

Please, check the website for more information:
http://www.evostar.org/2020/

And follow us at:
facebook – https://www.facebook.com/evostarconf/
twitter – https://twitter.com/Evostar2020/