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