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Evolutionary and Biologically Inspired Music, Sound, Art and Design

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Cover of 'Evolutionary and Biologically Inspired Music, Sound, Art and Design'

Table of Contents

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    Book Overview
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    Chapter 1 Generative Choreography: Animating in Real-Time Dancing Avatars
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    Chapter 2 Aesthetic 3D Model Evolution
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    Chapter 3 Evolutionary and Biologically Inspired Music, Sound, Art and Design
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    Chapter 4 Evolving a Library of Artistic Scene Descriptors
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    Chapter 5 Evolving Pop Art Using Scalable Vector Graphics
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    Chapter 6 Maintaining Population Diversity in Evolutionary Art
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    Chapter 7 Populations of Populations: Composing with Multiple Evolutionary Algorithms
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    Chapter 8 Fuzzy Rule Based System Ensemble for Music Genre Classification
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    Chapter 9 A Computational Environment for the Evolutionary Sound Synthesis of Birdsongs
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    Chapter 10 A Platform for Evolving Controllers for Simulated Drawing Robots
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    Chapter 11 Learning Comparative User Models for Accelerating Human-Computer Collaborative Search
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    Chapter 12 Fitness in Evolutionary Art and Music: What Has Been Used and What Could Be Used?
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    Chapter 13 Interactive Evolution of 8–Bit Melodies with Genetic Programming towards Finding Aesthetic Measures for Sound
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    Chapter 14 Investigating Aesthetic Features to Model Human Preference in Evolutionary Art
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    Chapter 15 The Traveling Percussionist
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    Chapter 16 Evolutionary and Biologically Inspired Music, Sound, Art and Design
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    Chapter 17 Expression-Based Evolution of Faces
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    Chapter 18 Graph Grammars as a Representation for Interactive Evolutionary 3D Design
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    Chapter 19 Polyphonic Transcription: Exploring a Hybrid of Tone Models and Particle Swarm Optimisation
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    Chapter 20 Reinforcement Learning and the Creative, Automated Music Improviser
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Title
Evolutionary and Biologically Inspired Music, Sound, Art and Design
Published by
Springer, March 2012
DOI 10.1007/978-3-642-29142-5
ISBNs
978-3-64-229142-5, 978-3-64-229141-8
Editors

Machado, Penousal, Romero, Juan, Carballal, Adrian, Machado, Penousal, Romero, Juan, Carballal, Adrian

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 1%
Italy 1 1%
Brazil 1 1%
Sweden 1 1%
United Kingdom 1 1%
Russia 1 1%
Japan 1 1%
United States 1 1%
Unknown 67 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 31%
Student > Master 16 21%
Researcher 7 9%
Student > Bachelor 6 8%
Professor > Associate Professor 6 8%
Other 8 11%
Unknown 9 12%
Readers by discipline Count As %
Computer Science 21 28%
Arts and Humanities 14 19%
Engineering 14 19%
Design 7 9%
Psychology 3 4%
Other 5 7%
Unknown 11 15%