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Artificial Chemistries

List Price: $95.00
SKU:
9780262551526
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  • Product Details

    Author:
    Wolfgang Banzhaf, Lidia Yamamoto
    Format:
    Paperback
    Pages:
    576
    Publisher:
    MIT Press (March 19, 2024)
    Language:
    English
    Audience:
    General/trade
    ISBN-13:
    9780262551526
    ISBN-10:
    0262551527
    Weight:
    13oz
    Dimensions:
    7" x 9.25"
    File:
    RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20260405T171753_155746881-20260405.xml
    Folder:
    RandomHouse
    List Price:
    $95.00
    Country of Origin:
    United States
    Case Pack:
    24
    As low as:
    $73.15
    Publisher Identifier:
    P-RH
    Discount Code:
    A
    QuickShip:
    Yes
    Pub Discount:
    65
    Imprint:
    The MIT Press
  • Overview

    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.