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Computational Intelligence in Music, Sound, Art and Design : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19-21, 2017, Proceedings / edited by João Correia, Vic Ciesielski, Antonios Liapis.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 10198
- Theoretical Computer Science and General Issues, 2512-2029 ; 10198
- Language:
- English
- Subjects (All):
- Algorithms.
- Data mining.
- Artificial intelligence.
- Computer vision.
- Computer science-Mathematics.
- Mathematical statistics.
- Digital humanities.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer Vision.
- Probability and Statistics in Computer Science.
- Digital Humanities.
- Local Subjects:
- Algorithms.
- Data Mining and Knowledge Discovery.
- Artificial Intelligence.
- Computer Vision.
- Probability and Statistics in Computer Science.
- Digital Humanities.
- Physical Description:
- 1 online resource (X, 371 pages) : 169 illustrations
- Edition:
- 1st ed. 2017.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2017.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- Algorithmic Songwriting with ALYSIA
- On Symmetry, Aesthetics and Quantifying Symmetrical Complexity
- Towards Polyphony Reconstruction Using Multidimensional Multiple Sequence Alignment
- Melody Retrieval and Classification Using Biologically-Inspired Techniques
- Evolved Aesthetic Analogies to Improve Artistic Experience
- Deep Artificial Composer: A Creative Neural Network Model for Automated Melody Generation
- A Kind of Bio-inspired Learning of mUsic stylE
- Using Autonomous Agents to Improvise Music Compositions in Real-time
- Generating Polyphonic Music Using Tied Parallel Networks
- Mixed-initiative Creative Drawing with webIconoscope
- Clustering Agents for the Evolution of Autonomous Musical Fitness
- EvoFashion: Customising Fashion Through Evolution
- A Swarm Environment for Experimental Performance and Improvisation
- Niche Constructing Drawing Robots
- Automated Shape Design by Grammatical Evolution
- Evolutionary Image Transition Using Random Walks
- Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos
- Assessing Augmented Creativity: Putting a Lovelace Machine for Interactive Title Generation through a Human Creativity Test
- Play It again: Evolved Audio Effects and Synthesizer Programming
- Fashion Design Aid System with Application of Interactive Genetic Algorithms
- Generalization Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples
- Exploring the Exactitudes Portrait Series with Restricted Boltzmann Machines
- Evolving Mondrian-Style Artworks
- Predicting Expressive Bow Controls for Violin and Viola. .
- Other Format:
- Printed edition:
- ISBN:
- 978-3-319-55750-2
- 9783319557502
- Access Restriction:
- Restricted for use by site license.
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