
Evolutionary and Biologically Inspired Music, Sound, Art and Design
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This book constitutes the refereed proceedings of the 5th International Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design, EvoMUSART 2016, held in Porto, Portugal, in March/April 2016, co-located with the Evo*2016 events EuroGP, EvoCOP and EvoApplications.
The 17 revised full papers presented were carefully reviewed and selected from 25 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; and the art theory of evolutionary computation.
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Content
- Intro
- Preface
- Organization
- Contents
- Computer-Aided Musical Orchestration Using an Artificial Immune System
- 1 Introduction
- 2 Computer-Aided Musical Orchestration (CAMO)
- 2.1 Overview
- 2.2 Sound Database
- 2.3 Feature Database
- 2.4 Pre-processing
- 2.5 Representation
- 2.6 Combination Functions
- 2.7 Fitness Function
- 3 Immune Inspired Musical Orchestration
- 3.1 Opt-aiNet: An Artificial Immune System for Optimization
- 3.2 Phase Vocoder
- 3.3 Graphical Interface
- 4 Evaluation
- 5 Results and Discussion
- 5.1 Subjective Evaluation
- 5.2 Objective Evaluation
- 6 Conclusions and Perspectives
- References
- Evolving Atomic Aesthetics and Dynamics
- 1 Introduction
- 2 danceroom Spectroscopy
- 3 Interactive Evolutionary Computation (IEC)
- 4 Evolving Atomic Aesthetics
- 4.1 Representation
- 4.2 Evaluation and Selection
- 4.3 Mutation
- 5 Experimentation
- 5.1 Single-User IEC Interface
- 5.2 Collaborative IEC Interface
- 6 Conclusion
- References
- Augmenting Live Coding with Evolved Patterns
- 1 Introduction
- 2 Methodology
- 2.1 Tidal
- 2.2 Grammar and Parser
- 2.3 Evolutionary Algorithm
- 3 Evalutation
- 3.1 Is the System Generating Legal Tidal Patterns?
- 3.2 What Is the Relative Level of Complexity of the Generated Patterns?
- 3.3 How Does the Generated Audio Compare with Tidal?
- 3.4 How Does the Fitness of the Population Change?
- 4 Conclusion
- 4.1 On the Experience of Live Coding with Evolved Patterns
- 4.2 On the Need for a Quantitative Evaluation
- 4.3 Closing Remarks
- References
- Towards Adaptive Evolutionary Architecture
- 1 Introduction
- 1.1 Research Design and Goal
- 2 Background
- 2.1 Interdisciplinary Scope: Philosophy, Architecture and ALife
- 2.2 Interactive Evolution
- 3 EvoCurtain: The Evolutionary Window Curtain
- 3.1 Set-Up and Spatial Layout
- 3.2 Genetic Representation
- 3.3 Interactive Evolutionary Setup
- 4 Experiments
- 4.1 Genetic Experimental Parameters
- 5 Results
- 5.1 Disagreement and Reconciliation
- 5.2 Control and Preconceptions
- 5.3 Time
- 5.4 Interdisciplinary Perspective
- 6 Discussion
- 7 Conclusion
- References
- Plecto: A Low-Level Interactive Genetic Algorithm for the Evolution of Audio
- 1 Introduction
- 2 Background
- 2.1 Genetic Algorithms
- 2.2 Creative Potential of Lower-Level Audio Engines
- 3 A Low-Level Audio Engine
- 4 Growing the Population
- 5 Searching the Population
- 5.1 Meaningful Representation of the Population
- 5.2 Creating GA Landscapes
- 5.3 Descriptive Icons
- 5.4 A Navigational Tool for Plecto's Scatterplot Interface
- 5.5 Refining Population Search
- 6 Conclusion
- References
- Correlation Between Human Aesthetic Judgement and Spatial Complexity Measure
- 1 Introduction
- 2 Informational Theories of Aesthetics
- 3 Spatial Complexity Measure
- 4 Analysis
- 5 Conclusions
- References
- Exploring the Visual Styles of Arcade Game Assets
- 1 Introduction
- 2 Related Work
- 2.1 Procedural Content Generation
- 2.2 Constrained Optimization and Constrained Novelty Search
- 3 Methodology
- 3.1 Spaceship Representation
- 3.2 Spaceship Evolution
- 3.3 Spaceship Evaluation
- 4 Experiments
- 4.1 Quality of Generated Results
- 4.2 Diversity of Generated Results
- 5 Discussion
- 6 Conclusion
- References
- Grammatical Music Composition with Dissimilarity Driven Hill Climbing
- 1 Introduction
- 2 Related Work
- 2.1 Composing with Evolutionary Computation
- 2.2 Musical Fitness
- 3 Method
- 3.1 Grammar
- 3.2 Fitness Measurement
- 3.3 Operators
- 4 Experiments
- 4.1 Melody Shapes
- 4.2 Experimental Variations
- 5 Results
- 5.1 Analysis of the Operators
- 5.2 Melodies
- 5.3 Discussion
- 6 Conclusion and Future Work
- References
- Animating Typescript Using Aesthetically Evolved Images
- 1 Introduction
- 2 Aesthetic Evolution Basis
- 3 Animating Aesthetically Evolved Images
- 4 Mapping of Animated Functions to Typefaces
- 5 Compositing Animated Typefaces into Animated Typescript
- 6 Discussion and Conclusion
- References
- An Evolutionary Composer for Real-Time Background Music
- 1 Introduction
- 2 Environment and Musical States
- 2.1 Environment State
- 2.2 Musical State
- 3 EvoBackMusic Components
- 3.1 The Observer Agent
- 3.2 The Composer Agent
- 3.3 The Sound Agent
- 4 Evaluation Study
- 4.1 Methodology
- 4.2 Results
- 5 Conclusions
- References
- Iterative Brush Path Extraction Algorithm for Aiding Flock Brush Simulation of Stroke-Based Painterl ...
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Stroke-Based Rendering Techniques
- 2.2 Brush Stroke Extraction
- 2.3 Flock Brush Simulation
- 3 Iterative Brush Stroke Path Extraction
- 3.1 Algorithm Overview
- 3.2 Implementation Aspects
- 4 Results and Discussions
- 5 Conclusion and Future Work
- References
- A Comparison Between Representations for Evolving Images
- 1 Introduction
- 2 Representation, Fitness Landscapes and Locality
- 3 Short Review of Existing Representations for Images
- 4 The Proposed Representations
- 5 Experimental Study
- 5.1 Test Cases
- 5.2 Experimental Settings
- 5.3 Experimental Results Obtained on the Shapes Test Case
- 5.4 Experimental Results Obtained on the Shaded Shapes Test Case
- 5.5 Experimental Results Obtained on the Yin and Yang Test Case
- 5.6 Experimental Results Obtained on the Shaded Yin and Yang Test Case
- 5.7 Experimental Results Obtained on the Lena Test Case
- 5.8 Experimental Results on the Locality of the Representations
- 5.9 Best Evolved Individuals
- 6 Conclusions and Future Work
- References
- Evolving L-Systems with Musical Notes
- 1 Introduction
- 2 Background
- 2.1 L-Systems
- 2.2 Evolutionary Algorithms
- 2.3 Musical Concepts
- 3 Related Work
- 4 System's Architecture
- 4.1 General Overview
- 4.2 Audiovisual Interpretation and Mappings
- 4.3 The Evolutionary Algorithm
- 4.4 Auxiliary Tools
- 5 Experimental Results and Discussion
- 6 Conclusion and Further Work
- References
- MetaCompose: A Compositional Evolutionary Music Composer
- 1 Introduction
- 2 Background
- 2.1 Procedurally Generated Music
- 2.2 Multi-Objective Optimization
- 2.3 Feasible/Infeasible 2-Population Genetic Algorithm
- 3 MetaCompose
- 4 Non-dominated Sorting Feasible-Infeasible 2 Populations
- 5 Composition Generation
- 5.1 Chord Sequence Generation
- 5.2 Melody Generation
- 5.3 Accompaniment Generation
- 6 Experiment Design
- 6.1 Music Clip Generation
- 7 Results and Analysis
- 7.1 Complete Generator Against All Other Groups
- 7.2 Complete Generator Against Random Chord Sequence Generation
- 7.3 Complete Generator Against Unconstrained Melody Generation
- 7.4 Complete Generator Against Constrained Melody Generation
- 7.5 Complete Generator Against Random Accompaniment Generation
- 8 Conclusion and Future Work
- References
- 'Turingalila' Visual Music on the Theme of Morphogenesis
- Abstract
- 1 Introduction
- 2 The Magic of Morphogenesis
- 3 Creating 'Turingalila' as Visual Music
- 4 Conclusion: Patterns of Change
- References
- Fitness and Novelty in Evolutionary Art
- 1 Introduction
- 2 State of the Art
- 3 Proposed Algorithm
- 3.1 Archive Assessment
- 3.2 Selection Mechanism
- 4 Evolving Figurative Images
- 5 Evolving Context Free Design Grammars
- 6 Results
- 6.1 Experimental Setup
- 6.2 Results
- 7 Conclusions and Future Work
- References
- Author Index
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