Creative Evolutionary Systems: Unterschied zwischen den Versionen

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche
(Evolutionary art)
Zeile 47: Zeile 47:
 
[[Steven Rooke]]: [[Eons of genetically evolved algorithmic images]]. 339 - 365
 
[[Steven Rooke]]: [[Eons of genetically evolved algorithmic images]]. 339 - 365
 
 
[[Luigi Pagliarini]], [[Henrik Hautop Lund]]: Arts, robots, and evolution as a tool for creativity. 367 - 385
+
[[Luigi Pagliarini]], [[Henrik Hautop Lund]]: [[Arts, robots, and evolution as a tool for creativity]]. 367 - 385
 
 
[[Paul Brown]]: Stepping stones in the mist. 387 - 407
+
[[Paul Brown]]: [[Stepping stones in the mist]]. 387 - 407
 
 
 
[[Peter J. B. Hancock]], [[Charlie D. Frowd]]: [[Evolutionary generation of faces]]. 409 - 423
 
[[Peter J. B. Hancock]], [[Charlie D. Frowd]]: [[Evolutionary generation of faces]]. 409 - 423
 
 
 
[[A. E. Eiben]], [[R. Nabuurs]], [[I. Booij]]: [[The Escher evolver: evolution to the people]]. 425 - 439
 
[[A. E. Eiben]], [[R. Nabuurs]], [[I. Booij]]: [[The Escher evolver: evolution to the people]]. 425 - 439
+
 
 
===Evolutionary innovation===
 
===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
 
Julian F. Miller, Tatianna Kalganova, Dominic Job, Natalia Lipnitskaya: The genetic algorithm as a discovery engine: strange circuits and new principles. 443 - 466

Version vom 20. Oktober 2014, 19:40 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

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

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

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

Creative evolutionary design

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

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

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

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

Evolutionary art

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

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

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

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

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

Links

Full Text

[extern file]

intern file

Sonstige Links

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