Creative evolutionary systems
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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
San Francisco, CA : London :
Morgan Kaufmann ; Academic
c2002.
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| Edition: | 1st edition |
| Series: | The Morgan Kaufmann Series in Artificial Intelligence
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627115706719 |
Table of Contents:
- Front Cover; Creative Evolutionary Systems; Copyright Page; Contents; Foreword; Contributors; Preface; An Introduction to Creative Evolutionary Systems; Introduction; AI and Creativity; Evolutionary Computation; Creative Evolutionary Systems; Is Evolution Creative?; PART I: Evolutionary Creativity; Chapter 1. Creativity in Evolution: Individuals, Interactions, and Environments; 1.1 Introduction; 1.2 Creativity and Opened-Ended Evolution; 1.3 Design Issues; 1.4 A Full Specification For An Open-Ended Evolutionary Process; 1.5 Conclusions; Acknowledgments; References
- Chapter 2. Recognizability of the Idea: The Evolutionary Process of Argenia2.1 Introduction; 2.2 Recognizability, Identity, and Complexity; 2.3 Evolutionary Codes: Artificial DNA; 2.4 Natural/Artificial Complexity; 2.5 Giotto, a Medieval Idea in Evolution; 2.6 Rome, Future Scenarios; 2.7 Basilica, Generative Software to Design Complexity; 2.8 Madrid and Milan, Generated Architecture; 2.9 Argenia, the Natural Industrial Object, and the Artificial Uniqueness of Species; 2.10 Argenic Art: Picasso; 2.11 Conclusions; References; Chapter 3. Breeding Aesthetic Objects: Art and Artificial Evolution
- 3.1 Introduction3.2 Breeding Aesthetic Objects; 3.3 Breeding and Creation; 3.4 Limits; 3.5 Driessens and Verstappen-an Alternative Approach; 3.6 Conclusions; References; Chapter 4. The Beer Can Theory of Creativity; 4.1 Introduction; 4.2 Culture as an Evolutionary Process; 4.3 Creativity as the Origin of Culture; 4.4 What Caused the Onset of Creativity?; 4.5 Conclusions; Acknowledgments; References; PART II: Evolutionary Music; Chapter 5. Genjim: Evolution of a Jazz Improviser; 5.1 Introduction; 5.2 Overview and Architecture; 5.3 Representations; 5.4 Genetic Operators and Training
- 5.5 Real-Time Interaction5.6 Conclusions; References; Chapter 6. On the Origins and Evolution of Music in Virtual Worlds; 6.1 Introduction; 6.2 Evolutionary Modeling; 6.3 Evolving Sound with Cellular Automata; 6.4 Commentary on the Results; 6.5 Conclusions; Acknowledgments; References; Chapter 7. Vox Populi: Evolutionary Computation for Music Evolution; 7.1 Introduction; 7.2 Sound Attributes; 7.3 Evolutionary Musical Cycle; 7.4 Fitness Evaluation; 7.5 Interface and Parameter Control; 7.6 Experiments; 7.7 Conclusions; Acknowledgments; References
- Chapter 8. The Sound Gallery---An Interactive A-Life Artwork8.1 Introduction; 8.2 Evolvable Hardware; 8.3 Gallery Setup; 8.4 Contextualization: Artificial Life and Art; 8.5 The Sound Gallery Algorithms; 8.6 The Experiment; 8.7 Conclusions; Acknowledgments; References; PART III: Creative Evolutionary Design; Chapter 9. Creative Design and the Generative Evolutionary Paradigm; 9.1 Introduction; 9.2 The Adaptive Model from Nature; 9.3 The Generative Evolutionary Paradigm; 9.4 Problems with the Paradigm; 9.5 Concept Seeding Approach; 9.6 The Reptile Demonstration
- 9.7 Universal State Space Modeler
