| TÃtulo : |
Computational Intelligence in Music, Sound, Art and Design : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19–21, 2017, Proceedings / |
| Tipo de documento: |
documento electrónico |
| Autores: |
Correia, João, ; Ciesielski, Vic, ; Liapis, Antonios, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2017 |
| Número de páginas: |
X, 371 p. 169 ilustraciones |
| ISBN/ISSN/DL: |
978-3-319-55750-2 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Idioma : |
Inglés (eng) |
| Palabras clave: |
Algoritmos Procesamiento de datos Inteligencia artificial Visión por computador Informática Estadistica matematica humanidades digitales MinerÃa de datos y descubrimiento de conocimientos Probabilidad y EstadÃstica en Informática |
| Clasificación: |
518.1 |
| Resumen: |
Este libro constituye las actas arbitradas de la 6.ª Conferencia Internacional sobre Computación Evolutiva en Optimización Combinatoria, EvoMUSART 2017, celebrada en Ãmsterdam, PaÃses Bajos, en abril de 2017, junto con los eventos Evo*2017 EuroGP, EvoCOP y EvoApplications. Los 24 artÃculos completos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 29 presentaciones. Los artÃculos cubren una amplia gama de temas y áreas de aplicación, que incluyen: enfoques generativos de la música, los gráficos, el contenido de los juegos y la narrativa; recuperación de información musical; estética computacional; la mecánica de la computación evolutiva interactiva; diseño asistido por ordenador; y la teorÃa artÃstica de la computación evolutiva. . |
| Nota de contenido: |
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 forEvolutionary 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. . |
| Tipo de medio : |
Computadora |
| 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. . |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
Computational Intelligence in Music, Sound, Art and Design : 6th International Conference, EvoMUSART 2017, Amsterdam, The Netherlands, April 19–21, 2017, Proceedings / [documento electrónico] / Correia, João, ; Ciesielski, Vic, ; Liapis, Antonios, . - 1 ed. . - [s.l.] : Springer, 2017 . - X, 371 p. 169 ilustraciones. ISBN : 978-3-319-55750-2 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. Idioma : Inglés ( eng)
| Palabras clave: |
Algoritmos Procesamiento de datos Inteligencia artificial Visión por computador Informática Estadistica matematica humanidades digitales MinerÃa de datos y descubrimiento de conocimientos Probabilidad y EstadÃstica en Informática |
| Clasificación: |
518.1 |
| Resumen: |
Este libro constituye las actas arbitradas de la 6.ª Conferencia Internacional sobre Computación Evolutiva en Optimización Combinatoria, EvoMUSART 2017, celebrada en Ãmsterdam, PaÃses Bajos, en abril de 2017, junto con los eventos Evo*2017 EuroGP, EvoCOP y EvoApplications. Los 24 artÃculos completos revisados ​​presentados fueron cuidadosamente revisados ​​y seleccionados entre 29 presentaciones. Los artÃculos cubren una amplia gama de temas y áreas de aplicación, que incluyen: enfoques generativos de la música, los gráficos, el contenido de los juegos y la narrativa; recuperación de información musical; estética computacional; la mecánica de la computación evolutiva interactiva; diseño asistido por ordenador; y la teorÃa artÃstica de la computación evolutiva. . |
| Nota de contenido: |
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 forEvolutionary 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. . |
| Tipo de medio : |
Computadora |
| 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. . |
| Enlace de acceso : |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
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