evomusart logotype

The 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) 2022 is a multidisciplinary conference that brings together researchers who are working on the application of Artificial Intelligence techniques in creative and artist fields.

There is a growing interest in the application of Artificial Neural Networks, Evolutionary Computation, Swarm Intelligence, Cellular Automata, Alife, and other Artificial Intelligence techniques in fields such as: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks. Therefore, the use of Artificial Intelligence in such creative domains became a significant and exciting area of research. EvoMUSART provides the opportunity to present, discuss and promote innovative contributions and ongoing work in the area. 

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. The EvoMUSART proceedings have been published in Springer Lecture Notes in Computer Science (LNCS).

Download the CFP in PDF from here.

NEW: The proceedings of EvoMUSART are available following this link.

Special Issue

Tiago Martins, João Correia and Nereida Rodríguez-Fernández will publish a Special Issue on “Artificial Intelligence and Complexity in Art, Music, Games and Design III” for the 11th International Conference on Artificial Intelligence in Music, Sound, Art and Design. Entropy journal has already published the special issues entitled “Artificial Intelligence and Complexity in Art, Music, Games and Design” for EvoMUSART 2020 (Volume 1) and EvoMUSART 2021 (Volume 2). All the papers accepted in EvoMUSART 2022 are encouraged to submit to this Special Issue.

Special Issue URL: https://www.mdpi.com/journal/entropy/special_issues/ai_complexity_III

Instructions for authors: https://www.mdpi.com/journal/entropy/instructions

Deadline for manuscript submissions: 15 August 2022

Entropy (IF 2.524; JCR Q2; ISSN 1099-4300) is an international and interdisciplinary peer-reviewed open access journal that maintains a rigorous and fast peer review system with a median publication time of 38 days from submission to online publication. It is fully covered by the leading indexing and abstracting services, including Scopus, PubMed, PMC and SCIE (Web of Science). You can easily find the aims and scope, board member list, published papers, and much more on the Entropy webpage.

Conference Chairs

  • Tiago Martins
    University of Coimbra, Portugal
  • Nereida Rodríguez-Fernández
    University of A Coruña, Spain

Publication Chair

  • Sérgio Rebelo
    University of Coimbra, Portugal

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 creative and artistic fields. Topics of interest 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 functional criteria;
  • Robotic-based Evolutionary Art and Music;
  • Other related artificial intelligence or generative techniques in the fields of Computer Music, Computer Art, etc.


  • 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.

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.


  • 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.


The EvoMUSART Index gathers 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 Springer’s web page links. Feel free to explore, search and bookmark this web page.

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, so please omit information about the authors in the submitted paper and anonymise links for double-blind review. Submissions must be at most 16 A4 pages long, in Springer LNCS format.

Paper limit: 16 pages

Submission linkhttps://easychair.org/conferences/?conf=evo2022

The authors of accepted papers will have to improve their papers based on the reviewers’ comments and will be asked to send a camera-ready version of their manuscripts (notifications will be sent on 26 January, 2022 and the camera-ready deadline will be on 9 February, 2022). At least one author of each accepted work has to register for the conference no later than 7 March 2022, attend the conference and present the work. The acceptance rate at EvoMUSART 2021 was 36% for papers accepted for long talks and 11% for short talks.

Programme Committee

Mauro Annunziato, ENEA, Italy
Aurélien Antoine, McGill University, 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, Sorbonne University & Pontifical Catholic University of Rio de Janeiro, France & Brazil
Andrew Brown, Griffith University, Australia
Marcelo Caetano, McGill University, Canada
Amilcar Cardoso, University of Coimbra, Portugal
Peter Cariani, University of Binghamton, USA
Bing Yen Chang, The Hong Kong University of Science and Technology, China
Vic Ciesielski, RMIT University, Australia
João Correia, University of Coimbra, Portugal
Camilo Cruz Gambardella, Monash University, Australia
João Miguel Cunha, University of Coimbra, Portugal
Pedro M. Cruz, Northeastern University, USA
Palle Dahlstedt, University of Gothenburg, Sweden
Hans Dehlinger, University of Kassel, Germany
Georgios Diapoulis, Chalmers University of Technology, Sweden
Edward Easton, Aston University, UK
Arne Eigenfeldt, Simon Fraser University, Canada
Aniko Ekart, Aston University, UK
José Fornari, University of Campinas, Brazil
Philip Galanter, Texas A&M University, USA
Pablo Gervás, Universidad Complutense de Madrid, Spain
Carlos Grilo, Polytechnic Institute of Leiria, Portugal
Andrew Horner, The Hong Kong University of Science and Technology, China
Takashi Ikegami, The University of Tokyo, Japan
Troy Innocent, RMIT University, Australia
Colin Johnson, University of Nottingham, UK
Anna Jordanous, University of Kent, UK
Maximos Kaliakatsos-Papakostas, University of Thessaloniki, Greece
Max Kreminski, University of California, USA
Man Hei Law, Hong Kong University of Science and Technology, China
John P. Lewis, Weta Digital, Victoria University, Australia
Matthew Lewis, Ohio State University, USA
Antonios Liapis, University of Malta, Republic of Malta
Alain Lioret, Paris Diderot University, France
Penousal Machado, University of Coimbra, Portugal
Sebastian von Mammen, Julius-Maximilians University Würzburg, Germany
Pedro Martins, University of Coimbra, Portugal
Jon McCormack, Monash University, Australia
Michael O’Neill, University College Dublin, Ireland
Luz Castro Pena, University of A Coruña, Spain
Somnuk Phon-Amnuaisuk, University of Technology Brunei, Brunei
Juan Romero, University of A Coruña, Spain
Brian Ross, Brock University, Canada
Jonathan E. Rowe, University of Birmingham, UK
Guenter Rudolph, TU Dortmund University, Germany
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
Kıvanç Tatar, Simon Fraser University, Canada
Luis Teixeira, Fraunhofer AICOS, Portugal
Stephen Todd, Goldsmiths, University of London, UK
Alvaro Torrente, University of A Coruña, Spain
Paulo Urbano, University of Lisbon, Portugal
Anna Ursyn, University of Northern Colorado, USA
Igor Vatolkin, TU Dortmund University, Germany