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Computational Intelligence in Music, Sound, Art and Design -

Computational Intelligence in Music, Sound, Art and Design

8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Leipzig, Germany, April 24–26, 2019, Proceedings
Buch | Softcover
X, 249 Seiten
2019 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-030-16666-3 (ISBN)
CHF 86,85 inkl. MwSt

This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoApplications.

The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover a wide range of topics and application areas, including: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.

Deep Learning Concepts for Evolutionary Art.- Adversarial Evolution and Deep Learning - How Does An Artist Play with Our Visual System.- Autonomy, Authenticity, Authorship and Intention in Computer Generated Art.- Camera Obscurer: Generative Art for Design Inspiration.- Swarm-Based Identification of Animation Key Points from 2D-medialness Maps.- Paintings, Polygons and Plant Propagation.- Evolutionary Games for Audiovisual Works: Exploring the Demographic Prisoner's Dilemma.- Emojinating: Evolving Emoji Blends.- Automatically Generating Engaging Presentation Slide Decks.- Tired of choosing? Just Add Structure and Virtual Reality.- EvoChef: Show Me What to Cook! Artificial Evolution of Culinary Arts.- Comparing Models for Harmony Prediction in An Interactive Audio Looper.- Stochastic Synthesizer Patch Exploration in Edisyn.- Evolutionary Multi-Objective Training Set Selection of Data Instances and Augmentations for Vocal Detection.- Automatic Jazz Melody Composition Through a Learning-Based Genetic Algorithm.- Exploring Transfer Functions in Evolved CTRNNs for Music Generation. 

Erscheinungsdatum
Reihe/Serie Lecture Notes in Computer Science
Theoretical Computer Science and General Issues
Zusatzinfo X, 249 p. 109 illus., 78 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 403 g
Themenwelt Informatik Theorie / Studium Algorithmen
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Schlagworte Algorithm analysis and problem complexity • Applications • Artificial Intelligence • Computer Science • conference proceedings • Data Mining • evolutionary algorithms • evolutionary computation • Fine Arts • Genetic algorithms • human-centered computing • Human-Computer interaction • image reconstruction • Informatics • machine learning • Multi-agent Systems • Neural networks • Problem Solving • Recurrent Neural Networks • Research • Search Spaces • Semantics • Signal Processing • Sound and Music Computing
ISBN-10 3-030-16666-X / 303016666X
ISBN-13 978-3-030-16666-3 / 9783030166663
Zustand Neuware
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