CFP: Artificial Intelligence and Complexity in Art, Music, Games and Design
Journal: Entropy (ISSN 1099-4300), section “Complexity”.
JCR Journal with Impact factor: 2.419 (Q2).
Deadline for manuscript submissions: 30 September 2020.
A major—potentially unachievable—challenge in computational arts is constructing algorithms that assess properties such as novelty, creativity and the aesthetic properties of artistic artefacts or performances. Approaches to this have often been based on broadly information-theoretic ideas. For example, ideas linking mathematical notions of form and balance to beauty date back to ancient times. In the twentieth century, attempts were made to produce aesthetic
measures based on ideas of a balance between order and complexity. In more recent years, these have been formalised into ideas of aesthetic engagement happening when work is at the “edge of chaos” between excessive order and excessive disorder; formalising this using notions such as the Gini coefficient and Shannon entropy; and links between cognitive theories of the Bayesian brain and free energy minimisation with aesthetic theories. These ideas have been used both for understanding human behaviour and building creative systems.
The use of Artificial Intelligence and complex systems for the development of artistic systems is an exciting and relevant 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; game content generation; and other creative tasks.
This Special Issue will focus on both the use of complexity ideas and artificial intelligence methods to analyse and evaluate aesthetic properties and to drive systems that generate aesthetically engaging artefacts, including but not limited to: music, sound, images, animations, designs, architectural plans, choreographies, poetry, text, jokes, etc.
Dr. Juan Romero
Dr. Colin Johnson
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.
Formalising ideas of aesthetics using ideas from entropy and
Artificial Intelligence in art, design, architecture, music and games
Information Theory in art, design, architecture, music and games
Complex systems in art, music and design
Artificial life in arts
Pattern recognition and aesthetics
Cellular automata in architecture
Computational intelligence in arts
Special Issue Editors:
Dr. Juan Romero (email@example.com)
Computation Department, Universidade da Coruña, Coruña, A, Spain
Interests: artificial intelligence; artificial art; computational aesthetics; evolutionary computation; artificial neural networks; deep learning; machine learning; computational creativity
Dr. Colin Johnson (firstname.lastname@example.org)
School of Computing, University of Nottingham, Nottingham, UK
Interests: artificial intelligence; evolutionary music; sound synthesis; evolutionary art; swarm art; cellular automata; artificial life