Please distribute
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CALL FOR PAPERS
EvoMUSART 2016
http://www.evostar.org/2016/cfp_evomusart.php
5th International Conference on Evolutionary and Biologically Inspired
Music, Sound, Art and Design
30 March - 1 April 2016
Part of evo* 2016
evo*: http://www.evostar.org
Following the success of previous events and the importance of the
field of 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 2016 is the fifth International Conference on
Evolutionary and Biologically Inspired Music, Sound, Art and Design.
The use of biologically inspired techniques 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 2016 is to bring together researchers who
are using biologically inspired computer techniques for artistic
tasks, providing the opportunity to promote, present and discuss
ongoing work in the area.
The event will be held in April, 2016 in Porto, Portugal, as part of
the evo* event.
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Important Dates
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Submission: 1 November 2015
Notification to authors: 04 January 2016
Camera-ready deadline: 18 January 2016
Evo*: 30 March - 1 April 2016
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Publication Details
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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 evomusart proceedings, published by Springer
Verlag in a dedicated volume of the Lecture Notes in Computer Science
(LNCS) series. The papers which receive the best reviews will be
nominated for the Best Paper Award. The acceptance rate at EvoMUSART
2015 was 27.9% for papers accepted for oral presentation, and 25.6%
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.
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Topics of interest
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Submissions should concern the use of biologically inspired computer
techniques -- e.g. Evolutionary Computation, Artificial Life,
Artificial Neural Networks, Swarm Intelligence, other artificial
intelligence techniques -- 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
- Biologically Inspired Design and Art -- Systems that create
drawings, images, animations, sculptures, poetry, text, designs,
webpages, buildings, etc.;
- Biologically Inspired Sound and Music -- Systems that create
musical pieces, sounds, instruments, voices, sound effects, sound
analysis, etc.;
- 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 biologically inspired computation 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 biologically inspired techniques to produce
novel objects;
- Systems that resort to biologically inspired computation to perform
the analysis of image, music, sound, sculpture, or some other types of
artistic object.
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Additional information and submission details
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Submit your manuscript, 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)
Submission link: http://myreview.csregistry.org/evomusart16/
*** NEW Page limit: 16 pages ***
The reviewing process will be double-blind; please omit information
about the authors in the submitted paper.
Website: http://www.evostar.org/
Facebook: fb.com/evostarconf
Twitter: twitter.com/Evostar2016
LinkedIn: www.linkedin.com/groups/EVOstar-1908983
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Conference chairs
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Colin Johnson
University of Kent, UK
c.g.johnson(at)kent.ac.uk
Vic Ciesielski
RMIT University, Australia
vic.ciesielski(at)rmit.edu.au
Publication chair
João Correia
University of Coimbra, Portugal
jncor(at)dei.uc.pt
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