Following the success of previous events and the importance of the field of Artificial Intelligence applied to Music, Sound, Art and Design, EvoMUSART has become an evo* conference with independent proceedings since 2012. Thus, EvoMUSART 2021 is the 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design.

The use of Artificial Intelligence for the development of artistic systems is a recent, exciting and significant area of research. There is a growing interest in the application of Artificial Intelligence techniques (such as Artificial Neural Network, Evolutionary Computation, Swarm, Cellular Automata, Alife) in fields such as: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.

The main goal of EvoMUSART is to bring together researchers who are using Artificial Intelligence techniques for artistic tasks, providing the opportunity to promote, present and discuss ongoing work in the area.

EvoMUSART is published in Springer Lecture Notes in Computer Science (LNCS) since 2003. The conference proceedings of EvoMUSART are available online in SpringerLink.

The proceedings of EvoMUSART 2021 are available online following the link.

Download the CFP in PDF format from here.

Special Issue

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.

Conference Chairs

  • Juan Romero
    University of A Coruña, Spain
    jj(at)udc.es
  • Tiago Martins
    University of Coimbra, Portugal
    tiagofm(at)dei.uc.pt

Publication Chair

  • Nereida Rodríguez-Fernández
    University of A Coruña, Spain
    nereida.rodriguezf(at)udc.es

Areas of Interest and Contributions

Submissions should concern the use of Artificial Intelligence techniques (e.g. Evolutionary Computation, Artificial Neural Networks, Artificial Life, Machine Learning, Deep Learning, Swarm Intelligence) in the generation, analysis and interpretation of Art, Music, Design, Architecture and other artistic fields. Topics of interest include, but are not limited to:

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 artificial 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 artificial intelligence techniques to produce novel objects;
  • Systems that resort to artificial intelligence approaches to perform the analysis of image, music, sound, sculpture, or some other types of artistic object or resource.

EvoMUSART Index

A website was made available with all the information on all EvoMUSART papers since 2003. The idea is to bring together all the publications in a handy web page that allows the visitors to navigate through all papers, best papers, authors, keywords, and years of the conference, while providing quick access to the Springer’s web page links. Feel free to explore, search and bookmark: evomusart-index.dei.uc.pt

Submission Details

Accepted papers will be presented orally or as posters at the event and included in the evo* proceedings, published by Springer Nature in a dedicated volume of the Lecture Notes in Computer Science series. Submissions will be rigorously reviewed for scientific and artistic merit. Submitters are strongly encouraged to provide in all papers a link for download of media demonstrating their results, whether music, images, video, or other media types. The reviewing process will be double-blind. Please omit information about the authors in the submitted paper. Links should be anonymised for double-blind review. Submissions must be at most 16 A4 pages long, in Springer LNCS format.

Paper limit: 16 pages

Submission link: https://easychair.org/my/conference?conf=evo2021

The authors of accepted papers will have to improve their paper on the basis of the reviewers’ comments and will be asked to send a camera ready version of their manuscripts (deadline in 3 February 2021). At least one author of each accepted work has to register for the conference not later than 19 February 2021, attend the conference and present the work. The acceptance rate at EvoMUSART 2020 was 39% for papers accepted for long talks and 10% for short talks.

Programme Committee

Mauro Annunziato, ENEA, Italy
Aurélien Antoine, McGill University, Canada
Daniel Ashlock, University of Guelph, Canada
Peter Bentley, University College London, UK
Gilberto Bernardes, University of Porto, Portugal
Eleonora Bilotta, University of Calabria, Italy
Daniel Bisig, Zurich University of the Arts, Switzerland
Tim Blackwell, Goldsmiths, University of London, UK
Jean-Pierre Briot, Pierre and Marie Curie University, France & Pontifical Catholic University of Rio de Janeiro, Brasil
Andrew Brown, Griffith University, Australia
Marcelo Caetano, McGill University, Canada
Amilcar Cardoso, University of Coimbra, Portugal
Luz Castro Pena, University of A Coruña, Spain
Carmine Emanuele Cella, University of Bologna, Italy
Bing Yen Chang, The Hong Kong University of Science and Tecnology (HKUST), China
Vic Ciesielski, RMIT University, Australia
João Correia, University of Coimbra, Portugal
Pedro Cruz, Northeastern University, USA
Camilo Cruz Gambardella, Monash University, Australia
João Miguel Cunha, University of Coimbra, Portugal
David De Roure, University of Oxford, UK
Hans Dehlinger, University of Kassel, Germany
Eelco den Heijer, VU University Amsterdam, Netherlands
Alan Dorin, Monash University, Australia
Arne Eigenfeldt, Simon Fraser University, Canada
Aniko Ekart, Aston University, UK
José Fornari, University of Campinas (UNICAMP), Brasil
Philip Galanter, Texas A&M University, USA
Carlos Grilo, Polytechnic Institute of Leiria (IPL), Portugal
Andrew Horner, The Hong Kong University of Science and Tecnology (HKUST), China
Takashi Ikegami, The University of Tokyo, Japan
Troy Innocent, RMIT University, Australia
João Jacob, University of Porto, Portugal
Colin Johnson, University of Nottingham, UK
Daniel Jones, Goldsmiths, University of London, UK
Anna Jordanous, University of Kent, UK
Amy K. Hoover, New Jersey Institute of Technology, USA
Maximos Kaliakatsos-Papakostas, University of Thessaloniki, Greece
Max Kreminski, University of California, USA
Cristobal Kubli, The University of Texas at Dallas, USA
Cheuk Nam Lau, The Hong Kong University of Science and Tecnology (HKUST), China
Man Hei Law, The Hong Kong University of Science and Tecnology (HKUST), China
Matthew Lewis, Ohio State University, USA
Carlos León, Complutense University of Madrid, Spain
Antonios Liapis, University of Malta, Republic of Malta
Alain Lioret, Paris Diderot University, France
Duri Long, Georgia Institute of Technology, USA
Roisin Loughran, Dundalk Institute of Technology (DkIT), Ireland
Penousal Machado, University of Coimbra, Portugal
Bill Manaris, College of Charleston, USA
Tiago Martins, University of Coimbra, Portugal
Jon McCormack, Monash University, Australia
Rolando Miragaia, Polytechnic Institute of Leiria (IPL), Portugal
Eduardo Miranda, University of Plymouth, UK
Nicolas Monmarché, University of Tours, France
Marcos Nadal, University of the Balearic Islands, Spain
María Navarro, University of Salamanca, Spain
Aneta Neumann, The University of Adelaide, Australia
Michael O’Neill, University College Dublin, Ireland
Devi Parikh, Facebook AI Research & Georgia Tech, Georgia
Marcelo Petry, INESC TEC, UFSC, INESC P&D, Brasil
Somnuk Phon-Amnuaisuk, University of Technology Brunei, Brunei
Jane Prophet, University of Michigan, USA
Sérgio Rebelo, University of Coimbra, Portugal
Gustavo Reis, Polytechnic Institute of Leiria (IPL), Portugal
Nereida Rodríguez, University of A Coruña, Spain
Juan Romero, University of A Coruña, Spain
Brian Ross, Brock University, Canada
Jonathan E. Rowe, University of Birmingham, UK
Iria Santos, University of A Coruña, Spain
Rob Saunders, Leiden University, Netherlands
Marco Scirea, University of Southern Denmark, Denmark
Daniel Silva, University of Porto, Portugal
Kivanç Tatar, Simon Fraser University, Canada
Luis Teixeira, Fraunhofer AICOS, Portugal
Stephen Todd, Goldsmiths, University of London, UK
Julian Togelius, New York University, USA
Hannu Tolvonen, University of Helsinki, Finland
Álvaro Torrente Patiño, University of A Coruña, Spain
Paulo Urbano, University of Lisbon, Portugal
Anna Ursyn, University of Northern Colorado, USA