Artificial Chemistries
$65.00
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| Trade Discount | 5 + | 25% |
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Description
An introduction to the fundamental concepts of the emerging field of Artificial Chemistries, covering both theory and practical applications.
The field of Artificial Life (ALife) is now firmly established in the scientific world, but it has yet to achieve one of its original goals: an understanding of the emergence of life on Earth. The new field of Artificial Chemistries draws from chemistry, biology, computer science, mathematics, and other disciplines to work toward that goal. For if, as it has been argued, life emerged from primitive, prebiotic forms of self-organization, then studying models of chemical reaction systems could bring ALife closer to understanding the origins of life. In Artificial Chemistries (ACs), the emphasis is on creating new interactions rather than new materials. The results can be found both in the virtual world, in certain multiagent systems, and in the physical world, in new (artificial) reaction systems. This book offers an introduction to the fundamental concepts of ACs, covering both theory and practical applications.
After a general overview of the field and its methodology, the book reviews important aspects of biology, including basic mechanisms of evolution; discusses examples of ACs drawn from the literature; considers fundamental questions of how order can emerge, emphasizing the concept of chemical organization (a closed and self-maintaining set of chemicals); and surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs.
This book serves as a premier resource on artificial chemistries, consolidating a breadth of ideas that had yet to be unified in such a way. Even after reading the book I know that I have yet to be finished with it. Readers with minimal scientific backgrounds who are interested in the origins of life, understanding life and evolution as chemical processes, and the innovation of chemistry, will thoroughly enjoy Banzhaf and Yamamoto’s Artificial Chemistries.—Genetic Programming and Evolvable Machines—Wolfgang Banzhaf is University Research Professor and Head of the Department of Computer Science at the Memorial University of Newfoundland.
Lidia Yamamoto is a former Postdoctoral Researcher at the University of Basel.US
Additional information
| Dimensions | 1.4700 × 7.2000 × 9.5000 in |
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