Artificial Intelligence and Complexity in Art, Music, Games and Design II
A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Complexity".
Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 20738
Special Issue Editors
Interests: artificial intelligence; bio-inspired computation; evolutionary computation; neural networks; computational arts; computer music
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; artificial art; computational aesthetics; evolutionary computation; artificial neural networks; deep learning; machine learning; computational creativity
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; computer art; design; generative design; evolutionary computation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
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 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.
Volume I: https://www.mdpi.com/journal/entropy/special_issues/ai_complexity
Dr. Colin Johnson
Dr. Juan Romero
Dr. Tiago Martins
Guest Editors
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Keywords
• Formalising ideas of aesthetics using ideas from entropy and information theory
• Computational Creativity
• 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
• Evolutionary art
• Evolutionary music
• Artificial life in arts
• Swarm art
• Pattern recognition and aesthetics
• Cellular automata in architecture
• Computational intelligence in art
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