Tiempo de lectura aprox: 59 segundos
Seguimos comprometidos con la ciencia de vanguardia 😃. Dos de nuestros socios (Juan Romero y Penousal Machado) han publicado el libro de referencia de IA aplicada a creatividad y arte, en Springer Nature, con los trabajos más importantes de los últimos 10 años.
«Artificial Intelligence and the Arts. Computational Creativity, Artistic Behavior, and Tools for Creatives»
Prefacio
https://link.springer.com/content/pdf/bfm%3A978-3-030-59475-6%2F1.pdf
Artes Visuales
Artificial Life and Artificial Intelligence Advances in the Visual Arts – Gary Greenfield (Páginas 3-26)
Aesthetics, Artificial Intelligence, and Search-Based Art – Colin Johnson (Páginas 27-60)
Applicability of Convolutional Neural Network Artistic Style Transfer Algorithms – Florian Uhde (Páginas 61-81)
Música
Artificial Musical Intelligence: Computational Creativity in a Closed Cognitive World – Geraint A. Wiggins (Páginas 85-107)
Evolutionary Music, Deep Learning and Conceptual Blending: Enhancing User Involvement in Generative Music Systems – Maximos Kaliakatsos-Papakostas (Páginas 109-138)
Representation Learning for the Arts: A Case Study Using Variational Autoencoders for Drum Loops – James McDermott (Páginas 139-161)
3D
Case Studies in Computer Graphics and AI – Tom De Smedt, Ludivine Lecha, Ben Burtenshaw, Lucas Nijs (Páginas 165-185)
Setting the Stage for 3D Compositing with Machine Learning – Jonathan Eisenmann (Páginas 187-205)
Otras Formas de Arte
Computational Models of Narrative Creativity – Pablo Gervás (Páginas 209-255)
Learning from Responses to Automated Videogame Design – Michael Cook (Páginas 257-276)
Artificial Intelligence for Designing Games – Antonios Liapis (Páginas 277-310)
Perspectivas Artísticas
Bees Select Flowers, Humans Select Images: New Designs for Open-Ended Interactive Evolutionary Computation Inspired by Pollination Ecology – Alan Dorin (Páginas 313-345)
Breaking the Black Box: Procedural Reading, Creation of Meaning, and Closure in Computational Artworks – Miguel Carvalhais (Páginas 347-362)
Organism-Machine Hybrids – Jon McCormack, Natalie Alima (Páginas 363-381)
