Evolutionary Computer Music

The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniqu...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Miranda, Eduardo Reck (Επιμελητής έκδοσης), Biles, John Al (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London, 2007.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 04176nam a22004935i 4500
001 978-1-84628-600-1
003 DE-He213
005 20151204142018.0
007 cr nn 008mamaa
008 100301s2007 xxk| s |||| 0|eng d
020 |a 9781846286001  |9 978-1-84628-600-1 
024 7 |a 10.1007/978-1-84628-600-1  |2 doi 
040 |d GrThAP 
050 4 |a QA76.575 
072 7 |a UG  |2 bicssc 
072 7 |a COM034000  |2 bisacsh 
082 0 4 |a 006.7  |2 23 
245 1 0 |a Evolutionary Computer Music  |h [electronic resource] /  |c edited by Eduardo Reck Miranda, John Al Biles. 
264 1 |a London :  |b Springer London,  |c 2007. 
300 |a XIV, 259 p. 97 illus.  |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 
505 0 |a An Introduction to Evolutionary Computing for Musicians -- Evolutionary Computation for Musical Tasks -- Evolution in Digital Audio Technology -- Evolution in Creative Sound Design -- Experiments in Generative Musical Performance with a Genetic Algorithm -- Composing with Genetic Algorithms: GenDash -- Improvizing with Genetic Algorithms: GenJam -- Cellular Automata Music: From Sound Synthesis to Musical Forms -- Swarming and Music -- Computational Evolutionary Musicology. 
520 |a The evolutionary computation approach to music is an exciting new development for composers and musicologists alike. For composers, it provides an innovative and natural means for generating musical ideas from a specifiable set of primitive components and processes. For musicologists, these techniques are used to model the cultural transmission and change of a population's body of musical ideas over time. In both cases, musical evolution can be guided by a variety of constraints and tendencies built into the system, such as realistic psychological factors that influence the way music is expressed, experienced, learned, stored, modified, and passed on among individuals. This book discusses not only the applications of evolutionary computation to music, but also the tools needed to create and study such systems. These tools are drawn in part from research into the origins and evolution of biological organisms, ecologies, and cultural systems on the one hand, and from computer simulation methodologies on the other. They can be combined to create surrogate artificial worlds populated by interacting simulated organisms in which complex musical experiments can be performed that would otherwise be impossible. This authoritative book, with contributions from experts from around the globe, demonstrates that evolutionary systems can be used to create and to study musical compositions and cultures in ways that have never before been achieved. Eduardo Reck Miranda is a Professor in Computer Music at the University of Plymouth, UK, where he heads the Interdisciplinary Centre for Computer Music Research (ICCMR). He has recently been appointed the Edgard Varèse Guest Professor of Computer Music at the Technical University of Berlin. Al Biles is a Professor and the Undergraduate Program Coordinator in the Department of Information Technology at the Rochester Institute of Technology in Rochester, New York. Between performances with GenJam over the last thirteen years, he has been active in helping establish information technology as a recognized academic discipline. 
650 0 |a Computer science. 
650 0 |a Music. 
650 0 |a Multimedia information systems. 
650 0 |a Artificial intelligence. 
650 0 |a Application software. 
650 1 4 |a Computer Science. 
650 2 4 |a Multimedia Information Systems. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
650 2 4 |a Computer Appl. in Arts and Humanities. 
650 2 4 |a Music. 
700 1 |a Miranda, Eduardo Reck.  |e editor. 
700 1 |a Biles, John Al.  |e editor. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9781846285998 
856 4 0 |u http://dx.doi.org/10.1007/978-1-84628-600-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-SCS 
950 |a Computer Science (Springer-11645)