An Afterword to Rise of the Self-Replicators: Placing John A. Etzler, Frigyes Karinthy, Fred Stahl, and Others in the Early History of Thought About Self-Reproducing Machines

IF 1.6 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Artificial Life Pub Date : 2024-02-01 DOI:10.1162/artl_a_00424
Tim Taylor
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Abstract

This article is an afterword to the book Rise of the Self-Replicators: Early Visions of Machines, AI and Robots That Can Reproduce and Evolve, coauthored by Tim Taylor and Alan Dorin (2020). The book covered the early history of thought about self-reproducing and evolving machines, from initial speculations in the 17th century up to the early 1960s (from which point onward the more recent history is already well covered elsewhere). This article supplements the material discussed in the book by presenting several relevant sources that have come to the author’s attention since the book was published. The most significant additions to the history are from the German-born, 19th-century inventor and utopian John Adolphus Etzler in the 1830s–1840s, the Hungarian author and satirist Frigyes Karinthy in 1916, and the U.S. mathematician and computer scientist Fred Stahl in 1960.
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自我复制者的崛起》后记:将 John A. Etzler、Frigyes Karinthy、Fred Stahl 等人置于有关自我复制机器的早期思想史中。
本文是《自我复制者的崛起》一书的后记:自复制者的崛起:能复制和进化的机器、人工智能和机器人的早期设想》一书的后记,该书由蒂姆-泰勒(Tim Taylor)和艾伦-多林(Alan Dorin)合著(2020 年)。该书涵盖了有关自我复制和进化机器的早期思想史,从 17 世纪的最初猜测一直到 20 世纪 60 年代初(从那时起的近代史在其他地方已有详细介绍)。本文补充了书中讨论的材料,介绍了作者在该书出版后注意到的一些相关资料。对这段历史最重要的补充来自 19 世纪德国出生的发明家和乌托邦主义者约翰-阿道夫-埃茨勒(John Adolphus Etzler)(1830-1840 年代)、匈牙利作家和讽刺作家弗里杰斯-卡林西(Frigyes Karinthy)(1916 年)以及美国数学家和计算机科学家弗雷德-斯塔尔(Fred Stahl)(1960 年)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Artificial Life
Artificial Life 工程技术-计算机:理论方法
CiteScore
4.70
自引率
7.70%
发文量
38
审稿时长
>12 weeks
期刊介绍: Artificial Life, launched in the fall of 1993, has become the unifying forum for the exchange of scientific information on the study of artificial systems that exhibit the behavioral characteristics of natural living systems, through the synthesis or simulation using computational (software), robotic (hardware), and/or physicochemical (wetware) means. Each issue features cutting-edge research on artificial life that advances the state-of-the-art of our knowledge about various aspects of living systems such as: Artificial chemistry and the origins of life Self-assembly, growth, and development Self-replication and self-repair Systems and synthetic biology Perception, cognition, and behavior Embodiment and enactivism Collective behaviors of swarms Evolutionary and ecological dynamics Open-endedness and creativity Social organization and cultural evolution Societal and technological implications Philosophy and aesthetics Applications to biology, medicine, business, education, or entertainment.
期刊最新文献
Complexity, Artificial Life, and Artificial Intelligence. Neurons as Autoencoders. Evolvability in Artificial Development of Large, Complex Structures and the Principle of Terminal Addition. Investigating the Limits of Familiarity-Based Navigation. Network Bottlenecks and Task Structure Control the Evolution of Interpretable Learning Rules in a Foraging Agent.
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