April 2017, Amsterdam, The Netherlands
Part of evo* 2017
Submission Deadline: 1 November 2016
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 2017 is the sixth 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 2017 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, 2017 in Amsterdam, The Netherlands, as part of the evo* event.
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 evostar proceedings, published by Springer Verlag in a dedicated volume of the Lecture Notes in Computer Science series. The acceptance rate at evoMUSART 2016 was 40% for papers accepted for oral presentation, and 24% 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.
Additional information and submission details
Submit your manuscript, at most 16 A4 pages long, in Springer LNCS format
Submission link: TBA page limit: 16 pages
The reviewing process will be double-blind; please omit information about the authors in the submitted paper.