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Rise of the Self-Replicators: Early Visions of Machines, AI and Robots That Can Reproduce and Evolve. 1st ed. 2020
・ISBN 978-3-030-48233-6 paper EUR 119.99
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お気に入り
★★★
| 著者・編者 | Taylor, Tim / Dorin, Alan, |
|---|---|
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2020 |
| ページ数 | 121 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-98834＞ |
解説
Is it possible to design robots and other machines that can reproduce and evolve? And, if so, what are the implications: for the machines, for ourselves, for our environment, and for the future of life on Earth and elsewhere?
In this book the authors provide a chronological survey and comprehensive archive of the early history of thought about machine self-reproduction and evolution. They discuss contributions from philosophy, science fiction, science and engineering, and uncover many examples that have never been discussed in the Artificial Intelligence and Artificial Life literature before now. In the final chapter they provide a synthesis of the concepts discussed, offer their views on the field's future directions, and call for a broad community discussion about the significant implications of intelligent evolving machines.
The book will be of interest to general readers, and a valuable resource for researchers, practitioners, and historians engaged with ideas in artificial intelligence, artificial life, robotics, and evolutionary computing.
In this book the authors provide a chronological survey and comprehensive archive of the early history of thought about machine self-reproduction and evolution. They discuss contributions from philosophy, science fiction, science and engineering, and uncover many examples that have never been discussed in the Artificial Intelligence and Artificial Life literature before now. In the final chapter they provide a synthesis of the concepts discussed, offer their views on the field's future directions, and call for a broad community discussion about the significant implications of intelligent evolving machines.
The book will be of interest to general readers, and a valuable resource for researchers, practitioners, and historians engaged with ideas in artificial intelligence, artificial life, robotics, and evolutionary computing.