EvoMUSART 2017
Inhaltsverzeichnis
Reference
João Correia (Herausgeber), Vic Ciesielski (Herausgeber), Antonios Liapis (Herausgeber): Evolutionary and Biologically Inspired Music, Sound, Art and Design: 6th European Conference, EvoMUSART 2017 (LNCS 10198). 1 Aufl., Springer, Berlin, 2017, ISBN 978-3-319-55749-6 (Print) 978-3-319-55750-2 (Online), 371 Seiten.
DOI
https://doi.org/10.1007/978-3-319-55750-2
Abstract
Introduction
This book constitutes the refereed proceedings of the 6th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2017, held in Amsterdam, The Netherlands, in April 2017, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications.
The 24 revised full papers presented were carefully reviewed and selected from 29 submissions. The papers cover a wide range of topics and application areas, including: generative approaches to music, graphics, game content, and narrative; music information retrieval; computational aesthetics; the mechanics of interactive evolutionary computation; computer-aided design; and the art theory of evolutionary computation.
Extended Abstract
Reviews
Bibtex
@conference{
year={2017},
isbn={978-3-319-55750-2},
booktitle={Evolutionary and Biologically Inspired Music, Sound, Art and Design: 6th European Conference, EvoMUSART 2017},
volume={10198},
series={Lecture Notes in Computer Science},
editor={Correia, João and Ciesielski, Vic and Liapis, Antonios},
doi={10.1007/978-3-319-55750-2},
url={https://link.springer.com/book/10.1007/978-3-319-55750-2 http://de.evo-art.org/index.php?title=EvoMUSART_2017 },
publisher={Springer International Publishing},
language={English}
}
Table of contents (24 chapters)
Margareta Ackerman, David Loker: Algorithmic Songwriting with ALYSIA. In: EvoMUSART 2017, 1-16. DOI: https://doi.org/10.1007/978-3-319-55750-2_1
Mohammad Majid al-Rifaie, Anna Ursyn, Robert Zimmer, Mohammad Ali Javaheri Javid: On Symmetry, Aesthetics and Quantifying Symmetrical Complexity. In: EvoMUSART 2017, 17-32. DOI: https://doi.org/10.1007/978-3-319-55750-2_2
Dimitrios Bountouridis, Frans Wiering, Dan Brown, Remco C. Veltkamp: Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment. In: EvoMUSART 2017, 33-48. DOI: https://doi.org/10.1007/978-3-319-55750-2_3
Dimitrios Bountouridis, Dan Brown, Hendrik Vincent Koops, Frans Wiering, Remco C. Veltkamp: Melody Retrieval and Classification Using Biologically-Inspired Techniques. In: EvoMUSART 2017, 49-64. DOI: https://doi.org/10.1007/978-3-319-55750-2_4
Aidan Breen, Colm O’Riordan, Jerome Sheahan: Evolved Aesthetic Analogies to Improve Artistic Experience. In: EvoMUSART 2017, 65-80. DOI: https://doi.org/10.1007/978-3-319-55750-2_5
Florian Colombo, Alexander Seeholzer, Wulfram Gerstner: Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation. In: EvoMUSART 2017, 81-96. DOI: https://doi.org/10.1007/978-3-319-55750-2_6
Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza: A Kind of Bio-inspired Learning of mUsic stylE. In: EvoMUSART 2017, 97-113. DOI: https://doi.org/10.1007/978-3-319-55750-2_7
Patrick Hutchings, Jon McCormack: Using Autonomous Agents to Improvise Music Compositions in Real-Time. In: EvoMUSART 2017, 114-127. DOI: https://doi.org/10.1007/978-3-319-55750-2_8
Daniel D. Johnson: Generating Polyphonic Music Using Tied Parallel Networks. In: EvoMUSART 2017, 128-143. DOI: https://doi.org/10.1007/978-3-319-55750-2_9
Antonios Liapis: Mixed-Initiative Creative Drawing with webIconoscope. In: EvoMUSART 2017, 144-159. DOI: https://doi.org/10.1007/978-3-319-55750-2_10
Róisín Loughran, Michael O’Neill: Clustering Agents for the Evolution of Autonomous Musical Fitness. In: EvoMUSART 2017, 160-175. DOI: https://doi.org/10.1007/978-3-319-55750-2_11
Nuno Lourenço, Filipe Assunção, Catarina Maçãs, Penousal Machado: EvoFashion: Customising Fashion Through Evolution. In: EvoMUSART 2017, 176-189. DOI: https://doi.org/10.1007/978-3-319-55750-2_12
Frank Mauceri, Stephen M. Majercik: A Swarm Environment for Experimental Performance and Improvisation. In: EvoMUSART 2017, 190-200. DOI: https://doi.org/10.1007/978-3-319-55750-2_13
Jon McCormack: Niche Constructing Drawing Robots. In: EvoMUSART 2017, 201-216. DOI: https://doi.org/10.1007/978-3-319-55750-2_14
Manuel Muehlbauer, Jane Burry, Andy Song: Automated Shape Design by Grammatical Evolution. In: EvoMUSART 2017, 217-229. DOI: https://doi.org/10.1007/978-3-319-55750-2_15
Aneta Neumann, Bradley Alexander, Frank Neumann: Evolutionary Image Transition Using Random Walks. In: EvoMUSART 2017, 230-245. DOI: https://doi.org/10.1007/978-3-319-55750-2_16
Fabian Ostermann, Igor Vatolkin, Günter Rudolph: Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos. In: EvoMUSART 2017, 246-261. DOI: https://doi.org/10.1007/978-3-319-55750-2_17
Yasser S. Arenas Rebolledo, Peter van der Putten, Maarten H. Lamers: Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation Through a Human Creativity Test. In: EvoMUSART 2017, 262-274. DOI: https://doi.org/10.1007/978-3-319-55750-2_18
Benjamin D. Smith: Play it Again: Evolved Audio Effects and Synthesizer Programming. In: EvoMUSART 2017, 275-288. DOI: https://doi.org/10.1007/978-3-319-55750-2_19
Nazanin Alsadat Tabatabaei Anaraki: Fashion Design Aid System with Application of Interactive Genetic Algorithms. In: EvoMUSART 2017, 289-303. DOI: https://doi.org/10.1007/978-3-319-55750-2_20
Igor Vatolkin: Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples. In: EvoMUSART 2017, 304-320. DOI: https://doi.org/10.1007/978-3-319-55750-2_21
Sam D. Verkoelen, Maarten H. Lamers, Peter van der Putten: Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines. In: EvoMUSART 2017, 321-337. DOI: https://doi.org/10.1007/978-3-319-55750-2_22
Miri Weiss Cohen, Leticia Cherchiglia, Rachel Costa: Evolving Mondrian-Style Artworks. In: EvoMUSART 2017, 338-353. DOI: https://doi.org/10.1007/978-3-319-55750-2_23
Lauren Jane Yu, Andrea Pohoreckyj Danyluk: Predicting Expressive Bow Controls for Violin and Viola. In: EvoMUSART 2017, 354-370. DOI: https://doi.org/10.1007/978-3-319-55750-2_24
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