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== Bibtex ==  
 
== Bibtex ==  
  
== Table of contents (xx chapters) ==
+
== Table of contents (23 chapters) ==
 
Peter J. Bentley, David W. Corne: Introduction to creative evolutionary systems. 1 - 75
 
Peter J. Bentley, David W. Corne: Introduction to creative evolutionary systems. 1 - 75
 
 
 
===Evolutionary creativity===
 
===Evolutionary creativity===
 +
Tim Taylor: Creativity in evolution: individuals, interactions, and environments. 79 - 108
 
 
Creativity in evolution: individuals, interactions, and environments
+
Celestino Soddu: Recognizability of the idea: the evolutionary process of Argenìa. 109 - 127
Tim Taylor
 
Pages: 79 - 108
 
 
 
Recognizability of the idea: the evolutionary process of Argenìa
+
Mitchell Whitelaw: Breeding aesthetic objects: art and artificial evolution. 129 - 145
Celestino Soddu
 
Pages: 109 - 127
 
 
 
Breeding aesthetic objects: art and artificial evolution
+
Liane Gabora: The beer can theory of creativity. 147 - 161  
Mitchell Whitelaw
 
Pages: 129 - 145
 
 
The beer can theory of creativity
 
Liane Gabora
 
Pages: 147 - 161
 
 
 
 
===Evolutionary music===
 
===Evolutionary music===
+
John A. Biles: GenJam: evolution of a jazz improviser. 165 - 187
GenJam: evolution of a jazz improviser
 
John A. Biles
 
Pages: 165 - 187
 
 
 
 
On the origins and evolution of music in virtual worlds
 
On the origins and evolution of music in virtual worlds

Version vom 20. Oktober 2014, 11:18 Uhr

Reference

- Peter J. Bentley, David W. Corne: Creative Evolutionary Systems. 1 Aufl., Academic Press Inc, Orlando, 2001, ISBN 978-1558606739, 576 Seiten.


DOI

Abstract

The use of evolution for creative problem solving is one of the most exciting and potentially significant areas in computer science today. Evolutionary computation is a way of solving problems, or generating designs, using mechanisms derived from natural evolution. This book concentrates on applying important ideas in evolutionary computation to creative areas, such as art, music, architecture, and desgn. It shows how human interaction, new representations, and approaches such as open-ended evolution can extend the capabiities of evolutionary computation from optimization of existing solutions to innovation and the generation of entirely new and original solutions. This book takes a fresh look at creativity, exploring what it is and how the actions of evolution can resemble it. Examples of novel evolved solutions are presented in a variety of creative disciplines. The editors have compiled contributions by leading researchers in each discipline.

Extended Abstract

Reviews

Bibtex

Table of contents (23 chapters)

Peter J. Bentley, David W. Corne: Introduction to creative evolutionary systems. 1 - 75

Evolutionary creativity

Tim Taylor: Creativity in evolution: individuals, interactions, and environments. 79 - 108

Celestino Soddu: Recognizability of the idea: the evolutionary process of Argenìa. 109 - 127

Mitchell Whitelaw: Breeding aesthetic objects: art and artificial evolution. 129 - 145

Liane Gabora: The beer can theory of creativity. 147 - 161

Evolutionary music

John A. Biles: GenJam: evolution of a jazz improviser. 165 - 187

On the origins and evolution of music in virtual worlds Eduardo Reck Miranda Pages: 189 - 204

Vox populi: evolutionary for music evolution Artemis Moroni, Jonatas Manzolli, Fernando Von Zuben, Ricardo Gudwin Pages: 205 - 221

The sound gallery---an interactive A-life artwork Sam Woolf, Andrian Thomas Pages: 223 - 250

Creative evolutionary design

Creative design and the generative evolutionary paradigm John Frazer Pages: 253 - 274

Genetic programming: biologically inspired computation that exhibits creativity in producing human-competitive results John R. Koza, Forrest H. Bennett, III, David Andre, Martin A. Keane Pages: 275 - 298

Toward a symbiotic coevolutionary approach to architecture Helen Jackson Pages: 299 - 313

Using evolutionary algorithms to aid designers of architectural structures Peter von Buelow Pages: 315 - 336

Evolutionary art

Eons of genetically evolved algorithmic images Steven Rooke Pages: 339 - 365

Arts, robots, and evolution as a tool for creativity Luigi Pagliarini, Henrik Hautop Lund Pages: 367 - 385

Stepping stones in the mist Paul Brown Pages: 387 - 407

Evolutionary generation of faces Peter J. B. Hancock, Charlie D. Frowd Pages: 409 - 423

The Escher evolver: evolution to the people A. E. Eiben, R. Nabuurs, I. Booij Pages: 425 - 439

Evolutionary innovation

Julian F. Miller, Tatianna Kalganova, Dominic Job, Natalia Lipnitskaya: The genetic algorithm as a discovery engine: strange circuits and new principles. 443 - 466

R. E. Smith, B. A. Dike, B. Ravichandran, A. El-Fallah, R. K. MehraDiscovering novel fighter combat maneuvers: simulating test pilot creativity. 467 - 486

Derek S. Linden: Innovative antenna design using genetic algorithms. 487 - 510

Jordan B. Pollack, Hod Lipson, Sevan Ficici, Pablo Funes, Greg Hornby, Richard A. Watson: Evolutionary techniques in physical robotics. 511 - 523

Shail Patel, Ian Stott, Manmohan Bhakoo, Peter Elliot: Patenting evolved batericidal peptides. 525 - 545

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http://dl.acm.org/citation.cfm?id=510349&picked=prox&cfid=441144972&cftoken=22938962