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 artifacts 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.