Perspectives on Adaptation in Natural and Artificial Systems (Santa Fe Institute Studies in the Sciences of Complexity Series)

Perspectives on Adaptation in Natural and Artificial Systems (Santa Fe Institute Studies in the Sciences of Complexity Series)

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Oxford University Press, USA


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Perspectives on Adaptation in Natural and Artificial Systems (Santa Fe Institute Studies in the Sciences of Complexity Series)

This book is a collection of essays exploring adaptive systems from many perspectives, ranging from computational applications to models of adaptation in living and social systems. The essays on computation discuss history, theory, applications, and possible threats of adaptive and evolving computations systems. The modeling chapters cover topics such as evolution in microbial populations, the evolution of cooperation, and how ideas about evolution relate to economics.
The title Perspectives on Adaptation in Natural and Artificial Systems honors John Holland, whose 1975 Book, Adaptation in Natural and Artificial Systems has become a classic text for many disciplines in which adaptation play a central role. The essays brought together here were originally written to honor John Holland, and span most of the different areas touched by his wide-ranging and influential research career. The authors include some of the most prominent scientists in the fields of artificial intelligence evolutionary computation, and complex adaptive systems. Taken together, these essays present a broad modern picture of current research on adaptation as it relates to computers, living systems, society, and their complex interactions.

Product Details

ISBN-13: 9780195162929
Publisher: Oxford University Press, USA
Publication date: 06/18/2004
Series: Santa Fe Institute Studies on the Sciences of Complexity Series
Edition description: New Edition
Pages: 324
Product dimensions: 6.20(w) x 9.30(h) x 1.00(d)

About the Author


University of New Mexico, Albuquerque

Oregon Health and Science University

University of Michigan, Ann Arbor

Table of Contents

Introduction: Adaptation, Evolution, and Intelligence, Lashon Booker, Stephanie Forrest, Melanie Mitchell, and Rick Riolo
1. Genetic Algorithms: A 30 Year Perspective, Kenneth DeJong
2. Human-Competitive Machine Intelligence by Means of Genetic Algorithms, John R. Koza
3. John Holland, Facetwise models, and Economy of Thought, David E. Goldberg
4. An Early Graduate Program in Computers and Communications, Arthur W. Burks
5. Had We But World Enough and Time, Oliver G. Selfridge
6. Discrete Event Abstraction: An Emerging Paradigm for Modeling Complex Adaptive Systems, Bernard P. Zeigler
7. Good Old-Fashioned AI and Genetic Algorithms: An Exercise in Translation Scholarship, Herbert A. Simon
8. Moore's Law, Artificial Evolutionm and the Fate of Humanity, Douglad R. Hofstadter
9. Evolution of Complexity in Microbial Populations, Julian Adams
10. Favored Places in the Selfish Herd: Trading Off Food and Security, Bobbi S. Low, Doug Finkbeiner, and Carl Simon
11. Tags, Interaction Patterns and the Evolution of Cooperation, Rick Riolo, Robert Axelrod, and Michael D. Cohen
12. The Impact of Environmental Dynamics on Cultural Emergence, Robert G. Reynolds and Salah Saleem
13. John Holland and the Evolution of Economics, Kenneth J. Arrow
14. Cognition: The Black Box of Economics, W. Brian Arthur

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Centered on John Holland¿s thought, this collection of essays radiates outward to touch on a variety of themes relating to complex adaptive systems. The diversity, crossing conventional disciplines, such as logic, economics and genetics, is testament to the equally diverse range of sources that Holland drew upon in his seminar work, ¿Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence.¿ The book¿s title ¿Perspectives on Adaptation in Natural and Artificial Systems¿ is appropriate since the essays do provide various perspectives, from Holland¿s mentors, students, and colleagues, with both strong and not-so-strong connection to his work and the stream of research it has generated. Holland¿s key unifying assertion is that self-organizing information-based systems are best understood as large collections of interacting, self-interested agents that adapt to the environment and each other. The paradigm that set him apart from contemporaries was a willingness to deal with the possibly open-ended complexity of the real world. Unlike paper-and-pencil theoreticians, he made progress by approaching reality from a variety of methods, centered on computer simulated worlds, admittedly simplified portrayals, but still subsuming many fewer constraints than traditional disciplines impose on their domains. Today, with the increased power of computers and the ubiquity of modeling, simulation and other computationally-based studies, this open-ended paradigm is widely practiced, but the discipline of thought that Holland brought to it is not always apparent. This smallish collection of fourteen chapters is about the right size to provide insight into the implications of Holland¿s paradigm, its relation to evolutionary computation, artificial intelligence, cognitive science, natural evolution, and economics. Reasonably priced, the book can be afforded by anyone wanting an entrée into multi-dimensional intellectual world of complex adaptive systems in a depth that goes behind the hype and buzzwords that are often associated with it.