Artificial intelligence and the arts : computational creativity, artistic behavior, and tools for creatives / Penousal Machado, Juan Romero, Gary Greenfield, editors.
Machado, Penousal, editor.; Romero, Juan, editor.; Greenfield, Gary, editor.
2021
NX260
Available Online

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Title Artificial intelligence and the arts : computational creativity, artistic behavior, and tools for creatives / Penousal Machado, Juan Romero, Gary Greenfield, editors.
ISBN 9783030594756 (electronic bk.)
3030594750 (electronic bk.)
9783030594749 (print)
DOI https://doi.org/10.1007/978-3-030-59475-6
Published Cham : Springer, 2021.
Language English
Description 1 online resource (xiv, 381 pages) : illustrations (some color)
Item Number 10.1007/978-3-030-59475-6 doi
Call Number NX260
Dewey Decimal Classification 702.85/63
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.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed October 20, 2021).
Added Author Machado, Penousal, editor.
Romero, Juan, editor.
Greenfield, Gary, editor.
Series Computational synthesis and creative systems, 2509-6583
Available in Other Form Print version: 9783030594749
Print version: 9783030594763
Print version: 9783030594770
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Part I, Visual Arts
Artificial Life and Artificial 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.

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