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Artificial Intelligence and the Arts : Computational Creativity, Artistic Behavior, and Tools for Creatives / edited by Penousal Machado, Juan Romero, Gary Greenfield.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Computational synthesis and creative systems 2509-6583
- Computational Synthesis and Creative Systems, 2509-6583
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Art-Study and teaching.
- Arts.
- Computational intelligence.
- Digital humanities.
- Artificial Intelligence.
- Creativity and Arts Education.
- Computational Intelligence.
- Digital Humanities.
- Local Subjects:
- Artificial Intelligence.
- Creativity and Arts Education.
- Arts.
- Computational Intelligence.
- Digital Humanities.
- Physical Description:
- 1 online resource (XIV, 381 pages) : 81 illustrations, 72 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- Emotions, creativity, aesthetics, artistic behavior, divergent thoughts, and curiosity are both fundamental to the human experience and instrumental in the development of human-centered artificial intelligence systems that can relate, communicate, and understand human motivations, desires, and needs. In this book the editors put forward two core propositions: creative artistic behavior is one of the key challenges of artificial intelligence research, and computer-assisted creativity and human-centered artificial intelligence systems are the driving forces for research in this area. 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.
- Contents:
- Part I, Visual Arts
- Artificial Life and Artifcial Intelligence Advances in the Visual Arts
- Aesthetics, Artificial Intelligence, and Search-Based Art
- Applicability of Convolutional Neural Network Artistic Style Transfer Algorithms
- Part II, Music
- Artificial Musical Intelligence: Computational Creativity in a Closed Cognitive World
- Evolutionary Music, Deep Learning and Conceptual Blending: Enhancing User Involvement in Generative Music Systems
- Representation Learning for the Arts: A Case Study Using Variational Autoencoders for Drum Loops
- Part III, 3D
- Case Studies in Computer Graphics and AI
- Setting the Stage for 3D Compositing with Machine Learning
- Part IV, Other Art Forms
- Computational Models of Narrative Creativity
- Learning from Responses to Automated Videogame Design
- Artificial Intelligence for Designing Games
- Part V, Artistic Perspectives
- Bees Select Flowers, Humans Select Images: New Designs for Open-Ended Interactive Evolutionary Computation Inspired by Pollination Ecology
- Breaking the Black Box: Procedural Reading, Creation of Meaning, and Closure in Computational Artworks
- Organism-Machine Hybrids.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-59475-6
- 9783030594756
- Access Restriction:
- Restricted for use by site license.
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