The Art of Artificial Evolution A Handbook on Evolutionary Art and Music /

While improvements in computer performance are dramatically changing the computer-generated art industry, scientists in natural computing have teamed up with artists to examine how bioinspired systems can influence art, technology and even aesthetic appreciation. This comprehensive book gives an up-...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Romero, Juan (Επιμελητής έκδοσης), Machado, Penousal (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Σειρά:Natural Computing Series,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 4 |a The Art of Artificial Evolution  |h [electronic resource] :  |b A Handbook on Evolutionary Art and Music /  |c edited by Juan Romero, Penousal Machado. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg,  |c 2008. 
300 |a XVIII, 459 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Natural Computing Series,  |x 1619-7127 
505 0 |a Evolutionary Art -- Evolutionary Visual Art and Design -- Evolutionary Search for the Artistic Rendering of Photographs -- Evolution and Collective Intelligence of the Electric Sheep -- Evolutionary Music -- Evolutionary Computation Applied to Sound Synthesis -- Swarm Granulation -- Evolutionary Computing for Expressive Music Performance -- Real-World Applications -- Evolutionary and Swarm Design in Science, Art, and Music -- Genr8: Architects’ Experience with an Emergent Design Tool -- Evolving Human Faces -- Evolutionary Reproduction of Dutch Masters: The Mondriaan and Escher Evolvers -- Artistic Perspectives -- Artificial Art Made by Artificial Ants -- Embedding of Pixel-Based Evolutionary Algorithms in My Global Art Process -- Evolving Structure in Liquid Music -- A Survey of Virtual Ecosystems in Generative Electronic Art -- Complexism and the Role of Evolutionary Art -- Future Perspectives -- The Evolution of Artistic Filters -- Co-evolutionary Methods in Evolutionary Art -- Experiments in Computational Aesthetics -- Facing the Future: Evolutionary Possibilities for Human-Machine Creativity. 
520 |a While improvements in computer performance are dramatically changing the computer-generated art industry, scientists in natural computing have teamed up with artists to examine how bioinspired systems can influence art, technology and even aesthetic appreciation. This comprehensive book gives an up-to-date survey of the relevant bioinspired computing research fields – such as evolutionary computation, artificial life, swarm intelligence and ant colony algorithms – and examines applications in art, music and design. The editors and contributors are researchers and artists with deep experience of the related science, tools and applications, and the book includes overviews of historical developments and future perspectives. The book will be of interest to computer scientists and artists engaged with natural computing techniques applied to art, music and design.  The book is supported with a dedicated website. 
650 0 |a Computer science. 
650 0 |a Arts. 
650 0 |a Music. 
650 0 |a Computers. 
650 0 |a Artificial intelligence. 
650 0 |a Application software. 
650 0 |a Computer-aided engineering. 
650 1 4 |a Computer Science. 
650 2 4 |a Computer Appl. in Arts and Humanities. 
650 2 4 |a Arts. 
650 2 4 |a Music. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Theory of Computation. 
650 2 4 |a Computer-Aided Engineering (CAD, CAE) and Design. 
700 1 |a Romero, Juan.  |e editor. 
700 1 |a Machado, Penousal.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783540728764 
830 0 |a Natural Computing Series,  |x 1619-7127 
856 4 0 |u http://dx.doi.org/10.1007/978-3-540-72877-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)