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 design. It shows how human interaction, new representations, and approaches such as open-ended evolution can extend the capabilities 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. If you are a savvy and curious computing professional, a computer-literate artist, musician or designer, or a specialist in evolutionary computation and its applications, you will find this a fascinating survey of the most interesting work being done in the area today.
Rezensionen / Stimmen
This volume shows the current state of the art, and the science, of evolutionary creativity. It shows what can--and equally important, what can't--be done at the turn of the new millennium. What will have been achieved by the turn of the next one is anyone's guess. Meanwhile, it's intriguing, it's instructive, it's difficult, and it's fun!--Margaret Boden, author of The Creative Mind, editor of Dimensions of Creativity
Reihe
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science & Technology
Zielgruppe
Für Beruf und Forschung
Computer scientists and students, artists, musicians, and specialists in evolutionary computation
Maße
Höhe: 235 mm
Breite: 187 mm
Gewicht
ISBN-13
978-1-55860-673-9 (9781558606739)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
David W. Corne is a reader in evolutionary computation (EC) at the University of Reading. His early research on evolutionary timetabling (with Peter Ross) resultedin the first freely available and successful EC-based general timetabling programfor educational and other institutions. His later EC work has been in suchareas as DNA pattern mining, promoter modeling, phylogeny, scheduling, layoutdesign, telecommunications, data mining, algorithm comparison issues, and multiobjectiveoptimization. Recent funded work (with Douglas Kell) applies EC directlyto the in vivo optimization of proteins. He is an associate editor of the IEEETransactions on Evolutionary Computation and a founding co-editor of the Journal ofScheduling. Dr. Corne is on the editorial boards of Applied Soft Computing and the InternationalJournal of Systems Science, and he serves on a host of international conferenceprogram committees. Other recent edited books include New Ideas in Optimization(with Marco Dorigo and Fred Glover), Telecommunications Optimization: Heuristic andAdaptive Techniques (with Martin Oates and George Smith), and Creative EvolutionarySystems (with Peter Bentley). He is also a director of Evosolve (United Kingdomregistered charity number 1086384, with Jeanne Lynch-Aird, Paul Marrow, GlenysOates, and Martin Oates), a nonprofit organization that promotes the use of advancedcomputation technologies to enhance the quality of life. Peter J. Bentley is a Honorary Research Fellow at University College London, known for his research covering all aspects of EC, including multiobjective optimization, constraint handling, artificial immune systems, computational embryology and more, and applied to diverse applications including floor-planning, control, fraud-detection, and music composition. He speaks regularly at international conferences, and is a consultant, convenor, chair and reviewer for workshops, conferences, journals and books on Evolutionary Design and Evolutionary Computation. He has been a guest editor of special issues on Evolutionary Design and Creative Evolutionary Systems in journals, and is the editor of the book Evolutionary Design by Computers (MKP) and is the author of the popular science book, Digital Biology, to publish in May 2001.
Autor*in
University of Reading
University College London, U.K.
PART I - Evolutionary CreativityChapter 1 - Creativity in Evolution: Individuals, Interactions, and EnvironmentsBy Tim TaylorChapter 2 - Recognizability of the Idea: The Evolutionary Process of ArgeniaBy Celestino SodduChapter 3 - Breeding Aesthetic Objects: Art and Artificial EvolutionBy Mitchell WhitelawChapter 4 - The Beer Can Theory of CreativityBy Liane GaboraPART II Evolutionary Music Chapter 5 - GenJam: Evolution of a Jazz ImproviserBy John A. BilesChapter 6 - On the Origins and Evolution of Music in Virtual WorldsBy Eduardo Reck MirandaChapter 7 - Vox Populi: Evolutionary Computation for Music EvolutionBy Artemis Moroni, Jonatas Manzolli, Fernando Von Zuben, and Ricardo GudwinChapter 8 - The Sound Gallery-An Interactive A-Life ArtworkBy Sam Woolf and Adrian ThompsonPART III Creative Evolutionary Design Chapter 9 - Creative Design and the Generative Evolutionary ParadigmBy John Frazer Chapter 10 - Genetic Programming: Biologically Inspired Computation That Exhibits Creativity in Producing Human-Competitive Results By John R. Koza, Forrest H. Bennett III, David Andre, andMartin A. KeaneChapeter 11 - Toward a Symbiotic Coevolutionary Approach to Architecture By Helen JacksonChapter 12 - Using Evolutionary Algorithms to Aid Designers of Architectural StructuresBy Peter von BuelowPART IV Evolutionary ArtChapter 13 - Eons of Genetically Evolved Algorithmic ImagesBy Steven RookeChapter 14 - Art, Robots, and Evolution as a Tool for CreativityBy Luigi Pagliarini and Henrik Hautop LundChapter 15 - Stepping Stones in the Mist By Paul BrownChapter 16 - Evolutionary Generation of Faces 409By Peter J. B. Hancock and Charlie D. FrowdChapter 17 - The Escher Evolver: Evolution to the People By A. E. Eiben, R. Nabuurs, and I. BooijPART V Evolutionary Innovation Chapter 18 - The Genetic Algorithm as a Discovery Engine: StrangeCircuits and New Principles By Julian F. Miller, Tatiana Kalganova, Natalia Lipnitskaya, and Dominic JobChapter 19 - Discovering Novel Fighter Combat Maneuvers:Simulating Test Pilot CreativityBy R. E. Smith, B. A. Dike, B. Ravichandran, A. El-Fallah, and R. K. MehraChapter 20 - Innovative Antenna Design Using Genetic AlgorithmsBy Derek S. LindenChapter 21 - Evolutionary Techniques in Physical Robotics By Jordan B. Pollack, Hod Lipson, Sevan Ficici, Pablo Funes,Greg Hornby, and Richard A. WatsonChapter 22 - Patenting of Novel Molecules Designed via Evolutionary Search By Shail Patel, Ian Stott, Manmohan Bhakoo, and Peter Elliott
