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:

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.

Automation

    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;
    Contextualisation of creative AI in cultural, economic, social, political or ecological discourse.

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.