posted by user: Nereidarf || 3103 views || tracked by 5 users: [display]

EvoMUSART 2021 : 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (Seville, Spain, 7-9 April 2021)

FacebookTwitterLinkedInGoogle

Link: http://www.evostar.org/2021/evomusart
 
When Apr 7, 2021 - Apr 9, 2021
Where Seville, Spain
Submission Deadline Nov 1, 2020
 

Call For Papers

The 10th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMUSART) will be held in Seville, Spain, on 7–9 April 2021, as part of the evo* event.

EvoMUSART webpage: www.evostar.org/2021/evomusart

The main goal of EvoMUSART is to bring together researchers who are using Artificial Intelligence techniques (e.g. Artificial Neural Network, Evolutionary Computation, Swarm, Cellular Automata, Alife) for artistic tasks such as Visual Art, Music, Architecture, Video, Digital Games, Poetry, or Design. The conference gives researchers in the field the opportunity to promote, present and discuss ongoing work in the area.

Accepted papers will be published by Springer Verlag in the Lecture Notes in Computer Science series.

IMPORTANT DATES
Submission deadline: 1 November 2020
Conference: 7-9 April 2021

We welcome submissions which use Artificial Intelligence techniques in the generation, analysis and interpretation of Art, Music, Design, Architecture and other artistic fields. Submissions must be at most 16 pages long, in Springer LNCS format. Each submission must be anonymised for a double-blind review process. The deadline for submission is 1 November 2020. 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 series.

Indicative topics 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/or functional criteria;

* Systems that resort to artificial intelligence to perform the analysis of image, music, sound, sculpture, or some other types of artistic object;

* Systems in which artificial intelligence is used to promote the creativity of a human user;

* Theories or models of computational aesthetics;

* Computational models of emotional response, surprise, novelty;

* Representation techniques for images, videos, music, etc.;

* Surveys of the current state-of-the-art in the area;

* New ways of integrating the user in the process (e.g. improvisation, co-creation, participation).


More information on the submission process and the topics of EvoMUSART can be found at: www.evostar.org/2021/evomusart

Papers published in EvoMUSART can be found at:
https://evomusart-index.dei.uc.pt


We look forward to seeing you in Seville in 2021!

The EvoMUSART 2021 organisers
Juan Romero
Tiago Martins
Nereida Rodríguez-Fernandez (publication chair)

Related Resources

CPAIOR 2024   International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research
CMVIT-Maldives 2025   2025 9th International Conference on Machine Vision and Information Technology (CMVIT 2025)
AMLDS 2025   2025 International Conference on Advanced Machine Learning and Data Science
ISCAI 2024   2024 3rd International Symposium on Computing and Artificial Intelligence
AIST 2024   6th International Conference on Artificial Intelligence and Speech Technology (AIST2024)
ACDSA 2025   2nd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications
AIxMM 2025   IEEE International Conference on AI x Multimedia
NC2EAIS 2024   NATIONAL CONFERENCE ON COMPUTATIONAL ENGINEERING, ARTIFICIAL INTELLIGENCE AND SMART SYSTEMS
IITUPC 2024   Immunotherapy and Information Technology: Unleashing the Power of Convergence
SI AIMLDE 2024   SPECIAL ISSUE on Applied Artificial intelligence, Machine Learning, and Data Engineering