Overview
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.
Full Product Details
Author: Tim Taylor ,
Alan Dorin
Publisher: Springer Nature Switzerland AG
Imprint: Springer Nature Switzerland AG
Edition: 1st ed. 2020
Weight: 0.454kg
ISBN: 9783030482336
ISBN 10: 3030482332
Pages: 121
Publication Date: 31 July 2020
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Paperback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
The research community would benefit from a state-of-the-art review of recent and ongoing work on self-reproducing and evolving machines, as an addition to the book or as a standalone review paper. The book Rise of the Self-Replicators is a great read, and highly recommended to all the readers of the journal and their collaborators. (Stefano Nichele, Genetic Programming and Evolvable Machines, Vol. 22, 2021)
The book Rise of the Self-Replicators by Taylor and Dorin provides an intriguing historical perspective on the origin of the ideas around self-replication and evolution in machines. ... Rise of the Self-Replicators is a great read, and highly recommended to all the readers of the journal and their collaborators. (Stefano Nichele, Genetic Programming and Evolvable Machines, Vol. 22, 2021)
Their book brings to light many historical and scientific facts that have never been published in the modern literature before. ... Taylor and Dorin have written their book Rise of the Self-Replicators in such a way that I fully recommend it to anyone interested in learning about the origins of the idea of artificial objects that can reproduce and evolve. ... I believe that all open-minded readers could benefit from the knowledge that they get from this excellent book. (J. Cejkova, Artificial Life, September 13, 2021) The book Rise of the Self-Replicators by Taylor and Dorin provides an intriguing historical perspective on the origin of the ideas around self-replication and evolution in machines. ... Rise of the Self-Replicators is a great read, and highly recommended to all the readers of the journal and their collaborators. (Stefano Nichele, Genetic Programming and Evolvable Machines, Vol. 22, 2021)
Author Information
Tim Taylor is a scientist, author, and coder, based in Edinburgh, Scotland. He pursues research and development in artificial life, agent-based modelling and artificial intelligence, and also has a deep interest in the history of these fields. He has held research positions in various leading universities in the UK and Australia, including Edinburgh, York and Goldsmiths. He currently works part-time (and remotely) as a Senior Research Fellow in the Department of Data Science and AI at Monash University, while also pursuing his own research and writing interests as an independent researcher. He is an associate examiner for the University of London, and an elected board member of the International Society for Artificial Life. Alan Dorin is an Associate Professor at Monash University in Australia where he leads the Computational and Collective Intelligence group within the Department of Data Science and AI. His research interests include artificial life, ecological modelling, insect-plant interaction and simulation, biologically-inspired electronic media art, generative art, and the history of technology. He promotes an understanding of the relationships between technology, society and the natural environment by encouraging interdisciplinary curiosity.
