Evomusart is published in Springer Lecture Notes in Computer Science (LNCS) since 2003

Following the success of previous events and the importance of the field of computational intelligence, specifically, evolutionary and biologically inspired (artificial neural network, swarm, alife) music, sound, art and design, evoMUSART has become an evo* conference with independent proceedings since 2012. Thus, evoMUSART 2020 is the ninth International Conference on Computational Intelligence in Music, Sound, Art and Design.

The use of Computational 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 these techniques 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 Computational Intelligence techniques for artistic tasks, providing the opportunity to promote, present and discuss ongoing work in the area.

The event will be held in April 2020 in Seville, Spain, as part of the evo* event.

EvoMUSART Conference Proceedings in SpringerLink

Topics of Interest

Submissions should concern the use of Computational Intelligence techniques (e.g. Evolutionary Computation, Artificial Life, Machine 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 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.

EvoMUSART Index

For the 20th year anniversary of the evo* conference, 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

Publication Details

Submissions will be rigorously reviewed for scientific and artistic merit. Accepted papers will be presented orally or as posters at the event and included in the evo* proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. The acceptance rate at evoMUSART 2018 was 39% for papers accepted for oral presentation, and 26% for poster presentation.

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. Links should be anonymised for double-blind review, e.g. using a URL shortening service.

There are two types of presentation:

    Long talk (20 minutes + 5 minutes for questions). Authors can optionally bring a poster to present at the poster session.
    Short talk (10 minutes, no questions). Authors MUST also bring a poster to present at the poster session.

Authors will be notified in advance of the type of presentation (short/long).

Submission Details

Submissions must be at most 16 A4 pages long, in Springer LNCS format (instructions downloadable from http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).

The reviewing process will be double-blind. Please omit information about the authors in the submitted paper.