| Description |
1 online resource (x, 249 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science ; 11453 |
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LNCS sublibrary. SL 1, Theoretical computer science and general issues |
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Lecture notes in computer science ; 11453.
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LNCS sublibrary. SL 1, Theoretical computer science and general issues.
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| Contents |
1. Deep learning concepts for evolutionary art / Fazle Tanjil, Brian J. Ross -- 2. Adversarial evolution and deep learning : how does an artist play with our visual system? / Alan Blair -- 3. Autonomy, authenticity, authorship and intention in computer generated art / Jon McCormack, Toby Gifford, Patrick Hutchings -- 4. Camera obscurer : generative art for design inspiration / Dilpreet Singh, Nina Rajcic, Simon Colton, Jon McCormack -- 5. Swarm-based identification of animation key points from 2D-medialness maps / Prashant Aparajeya, Frederic Fol Leymarie, Mohammad Majid al-Rifaie -- 6. Paintings, polygons and plant propagation / Misha Paauw, Daan van den Berg -- 7. Evolutionary games for audiovisual works : exploring the demographic prisoner's dilemma / Stefano Kalonaris -- 8. Emojinating : evolving emoji blends / João M. Cunha, Nuno Lourenço, João Correia, Pedro Martins, Penousal Machado -- 9. Automatically generating engaging presentation slide decks / Thomas Winters, Kory W. Mathewson -- 10. Tire of choosing? Just add structure and virtual reality / Edward Easton, Ulysses Bernardet, Aniko Ekart |
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11. EvoChef : show me what to cook! Artificial evolution of culinary arts / Hajira Jabeen, Nargis Tahara, Jens Lehmann -- 12. Comparing models for harmony prediction in an interactive audio looper / Benedikte Wallace, Charles P. Martin -- 13. Stochastic synthesizer patch exploration in Edisyn / Sean Luke -- 14. Evolutionary multi-objective training set selection of data instances and augmentations for vocal detection / Igor Vatolkin, Daniel Stoller -- 15. Automatic jazz melody composition through a learning-based genetic algorithm / Yong-Wook Nam, Yong-Hyuk Kim -- 16. Exploring transfer functions in evolved CTRNNs for music generation / Steffan Ianigro, Oliver Bown |
| Summary |
This book constitutes the refereed proceedings of the 8th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2019, held in Leipzig, Germany, in April 2019, co-located with the Evo*2019 events EuroGP, EvoCOP and EvoApplications. The 16 revised full papers presented were carefully reviewed and selected from 24 submissions. The papers cover a wide range of topics and application areas, including: visual art and music generation, analysis, and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks. -- Provided by publisher |
| Notes |
International conference proceedings |
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Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed April 22, 2019) |
| In |
Springer eBooks |
| Subject |
Evolutionary programming (Computer science) -- Congresses
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Natural computation -- Congresses
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Computer music -- Congresses
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Computer art -- Congresses
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Artificial intelligence.
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Software
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Artificial Intelligence
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Electronic Data Processing
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software.
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artificial intelligence.
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computer science.
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data processing.
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Computer art
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Computer music
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Evolutionary programming (Computer science)
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Natural computation
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Ekart, Anikó, editor.
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Liapis, Antonios, editor.
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Castro Pena, María Luz, editor
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EVOSTAR (Conference) (2019 : Leipzig, Germany)
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| ISBN |
9783030166670 |
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3030166678 |
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303016666X |
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9783030166663 |
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9783030166687 |
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3030166686 |
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