Overview
- Comprehensive reference for applications of Artificial Intelligence techniques to the field of the arts
- Application domains include visual art, music, 3D environments, design, and games; for computer scientists
- Techniques employed include evolutionary computation, machine learning, and neural networks
Part of the book series: Computational Synthesis and Creative Systems (CSACS)
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Table of contents (14 chapters)
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Front Matter
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Music
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Front Matter
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Artistic Perspectives
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Front Matter
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Keywords
About this book
The invited chapters examine computational creativity and more specifically systems that exhibit artistic behavior or can improve humans' creative and artistic abilities. The authors synthesize and reflect on current trends, identify core challenges and opportunities, and present novel contributions and applications in domains such as the visual arts, music, 3D environments, and games.
The book will be valuable for researchers, creatives, and others engaged with the relationship between artificial intelligence and the arts.
Editors and Affiliations
About the editors
Juan Romero is a professor in the Dept. of Computer Science and Information Technologies at the University of A Coruña. His research interests include Artificial Intelligence, Evolutionary Computation, Computational Creativity, Evolutionary Art, and Evolutionary Music. He has chaired related scientific events, including the EvoStar Applications of Evolutionary Computation conference and the Intl. Conf. on Artificial Intelligence in Music, Sound, Art and Design, he cofounded the European Network of Research that led to the latter event. He has guest edited special issues such as Neural Networks in Art, Sound and Design for the Neural Computing journal (Springer), Complex Systems in Aesthetics and Art for the Complexity journal (Hindawi), and Genetic Algorithms on Visual Art and Music for the journal Leonardo (MIT Press). He coedited the book "The Art of Artificial Evolution: A Handbook on Evolutionary Art and Music" with Penousal Machado in 2008. He's a cofounder and Chief Innovation Officer of the company PhotoIlike.com.
Gary Greenfield is Professor Emeritus of Mathematics & Computer Science at the University of Richmond. He has chaired related scientific events, including the EvoStar Applications of Evoutionary Computation conference, and he is the Founding Editor of the Journal of Mathematics and the Arts (Taylor & Francis). His computer-generated artworks arise from visualizations of mathematical, physical, or biological processes, focusing the viewer's attention on the complexity and intricacy underlying such processes, most recently he has been exploring the tension that develops when generating minimalist art using complex processes.
Bibliographic Information
Book Title: Artificial Intelligence and the Arts
Book Subtitle: Computational Creativity, Artistic Behavior, and Tools for Creatives
Editors: Penousal Machado, Juan Romero, Gary Greenfield
Series Title: Computational Synthesis and Creative Systems
DOI: https://doi.org/10.1007/978-3-030-59475-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-59474-9Published: 14 October 2021
Softcover ISBN: 978-3-030-59477-0Published: 14 October 2022
eBook ISBN: 978-3-030-59475-6Published: 13 October 2021
Series ISSN: 2509-6575
Series E-ISSN: 2509-6583
Edition Number: 1
Number of Pages: XIV, 381
Number of Illustrations: 9 b/w illustrations, 72 illustrations in colour
Topics: Artificial Intelligence, Creativity and Arts Education, Arts, Computational Intelligence, Digital Humanities