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220922 ||| eng |
| 020 |
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|a 9780262329460
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| 020 |
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|a 0262329468
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| 050 |
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4 |
|a QD415
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| 100 |
1 |
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|a Banzhaf, Wolfgang
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| 245 |
0 |
0 |
|a Artificial chemistries
|h Elektronische Ressource
|c Wolfgang Banzhaf and Lidia Yamamoto
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| 260 |
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|a Cambridge, MA
|b The MIT Press
|c 2015
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| 300 |
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|a xv, 555 pages
|b illustrations (some color)
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| 653 |
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|a Chemistry, Physical and theoretical
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| 653 |
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|a COMPUTER SCIENCE/Artificial Intelligence
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| 653 |
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|a Molecular evolution
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| 653 |
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|a Evolution (Biology)
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| 653 |
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|a Life / Origin
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| 653 |
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|a Biochemistry
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| 653 |
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|a BIOMEDICAL SCIENCES/General
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| 700 |
1 |
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|a Yamamoto, Lidia
|e author
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b MITArchiv
|a MIT Press eBook Archive
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| 028 |
5 |
0 |
|a 10.7551/mitpress/9780262029438.001.0001
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| 776 |
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|z 9780262029438
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| 856 |
4 |
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|u https://doi.org/10.7551/mitpress/9780262029438.001.0001?locatt=mode:legacy
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 572
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| 520 |
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|a 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 pirmitive, prebiotic forms of self-organizations, 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 in both 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 surveys a range of applications, which include computing, systems modeling in biology, and synthetic life. An appendix provides a Python toolkit for implementing ACs. -- from back cover
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