Evolutionary and Biologically Inspired Music, Sound, Art and Design [[electronic resource] ] : Third European Conference, EvoMUSART 2014, Granada, Spain, April 23-25, 2014, Revised Selected Papers / / edited by Juan Romero, James McDermott, João Correia

• Pubblicazione: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014
• Edizione: 1st ed. 2014.
• Descrizione fisica: 1 online resource (XIV, 132 p. 55 illus.)
• Disciplina: 005.11
• Soggetto topico: User interfaces (Computer systems); Human-computer interaction; Algorithms; Artificial intelligence; Digital humanities; User Interfaces and Human Computer Interaction; Artificial Intelligence; Digital Humanities
• Persona (resp. second.): RomeroJuan; McDermottJames; CorreiaJoão
• Note generali: Includes index.
• Nota di contenuto: Intro -- Preface -- Organization -- Table of Contents -- Probabilistic Decision Making for Interactive Evolution with Sensitivity Analysis -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Sensitivity Analysis for Interactive Design with Parametric Models -- 3.2 Probabilistic Decision Making for the Genetic Operators -- 3.3 Sampling Modifications -- 4 Results -- 5 Conclusion -- References -- An Interface for Fitness Function Design -- 1 Introduction -- 2 State of the Art -- 3 The Framework -- 3.1 Ants' Simulation -- 3.2 Extracted Features -- 3.3 Evolutionary Engine -- 4 The Anatomy of a Fitness Function -- 5 Fitness Function Design Interface -- 6 Final Rendering Interface -- 7 Experimentation -- 8 Conclusions and Future Work -- References -- Balancing Act: Variation and Utility in Evolutionary Art -- 1 Introduction -- 1.1 Utility and Diversity -- 1.2 Related Work -- 2 Generative Mechanisms -- 2.1 Graph Interpretation -- 2.2 Animation and Sound -- 2.3 Evolution -- 3 Discussion -- 3.1 Composing Structure -- References -- Size Does Not Matter: Evolving Parameters for a Cayley Graph Visualiser Using 64 Bits -- 1 Introduction -- 2 Jenn3d -- 3 Methodology -- 3.1 Evolutionary Approach -- 3.2 Encoding -- 3.3 Fitness Evaluation -- 4 Results -- 4.1 More Efficient Encoding -- 5 Conclusions -- References -- A Complexity Approach for Identifying Aesthetic Composite Landscapes -- 1 Introduction -- 2 State of the Art -- 3 Complexity Metrics and Presented Features -- 4 Experimental Dataset for Aesthetic Composition -- 5 Classification Method and Results Obtained -- 5.1 An Expert Overview -- 6 Future Work -- References -- Feature Construction Using Genetic Programming for Classification of Images by Aesthetic Value -- 1 Introduction -- 1.1 Goals -- 2 Related Work -- 2.1 Genetic Programming for Image Classification -- 3 Methodology. ; 3.1 Genetic Programming Configuration -- 3.2 Data Sets -- 4 Experiments and Results -- 4.1 Implementation -- 4.2 Experiment with Imagene Evolved Art -- 4.3 Experiment with Photographs -- 4.4 Discussion -- 5 Conclusion -- References -- Authorship and Aesthetics Experiments:Comparison of Results between Human and Computational Systems -- 1 Introduction -- 2 Experiments Involving Humans -- 2.1 Authorship Experiments -- 2.2 Aesthetics Appreciation -- 3 Developed System -- 4 Results: Authorship Test -- 5 Results: Aesthetic Validation Test -- 6 Conclusions -- References -- An Indirect Fitness Scheme for Automated Evolution of Aesthetic Images -- 1 Introduction -- 2 On the Role of Novelty -- 3 Our Fitness Function -- 4 Evolved Images -- 5 Diversity or Plasticity? -- 6 Conclusion -- References -- A Novelty Search and Power-Law-Based Genetic Algorithm for Exploring Harmonic Spaces in J.S. Bach Chorales -- 1 Introduction -- 2 Background -- 3 Data Representation -- 3.1 Musical Corpora -- 3.2 Harmony Extraction -- 3.3 Harmony Representation -- 4 User Interface Design -- 5 Markov Model -- 6 Evolutionary Algorithm -- 6.1 Power-Law Metrics -- 6.2 Genotype Representation -- 6.3 Novelty Search -- 6.4 Melody Guided Fitness -- 7 Conclusion and Future Work -- References -- Genomic: Evolving Sound Treatments Using Genetic Algorithms -- 1 Motivation -- 2 Past Work: Evolutionary Systems -- 3 Genomic: An Evolutionary System for Sound Treatments -- 3.1 A Note on Terminology -- 3.2 Genotype and Phenotype -- 3.3 Running the GA -- 3.4 The Fitness Function -- 3.5 Implementation -- 4 Goals for Evolution -- 4.1 Evolving Novelty -- 4.2 Evolving towards a Target -- 5 Extending Genomic with CorpusDB -- 5.1 Developing a Corpus from Several Seed Sounds -- 5.2 Observations -- 6 Conclusion and Future Work -- References -- Evolving an Aircraft Using a Parametric Design System. ; 1 Introduction -- 2 Parametric Design -- 3 Computational Fluid Dynamics -- 4 Evolutionary Aircraft Optimisation -- 5 Optimisation of Blended Wing Body Design -- 5.1 Experimental Settings -- 6 Optimisation Results -- 7 Conclusions -- References -- Author Index.
• Sommario/riassunto: This book constitutes the refereed proceedings of the Third International Conference on Biologically Inspired Music, Sound, Art and Design, Evo MUSART 2014, held in Granada, Spain, in April 2014, co-located with the Evo* 2013 events Euro GP, Evo COP, Evo BIO and Evo Applications. The 11 revised full papers presented were carefully reviewed and selected from 30 submissions. They cover a wide range of topics and application areas.
• Titolo autorizzato: Evolutionary and Biologically Inspired Music, Sound, Art and Design
• ISBN: 3-662-44335-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484481803321
• Lo trovi qui: Univ. Federico II
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 8601