--- layout: default --- Publication details Rise of the Self-Replicators: Early Visions of Machines, AI and Robots That Can Reproduce and Evolve Tim Taylor, Alan Dorin 2020 Reference Taylor, T., & Dorin, A. (2020). Rise of the Self-Replicators: Early Visions of Machines, AI and Robots That Can Reproduce and Evolve. Cham: Springer. BibTeX @book{taylor2020rise, title = {Rise of the Self-Replicators: Early Visions of Machines, AI and Robots That Can Reproduce and Evolve}, author = {Taylor, Tim and Dorin, Alan}, publisher = {Springer}, year = {2020}, isbn = {978-3-030-48233-6}, address = {Cham}, category = {book}, keywords = {history, selfrep} } Related publications
  1. Taylor, T. (2024). 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. Artificial Life, 30(1), 91–105. https://doi.org/10.1162/artl_a_00424
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  2. Taylor, T. (2020). What Am I For? Self-Purpose and Self-Reproduction in Rossum’s Universal Robots (Samoúčelnost a samoreprodukce u Rossumových univerzálních robotů). In J. Čejková (Ed.), ROBOT 100: Sto rozumů (pp. 178–180). Prague: Kosmas.
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  3. Taylor, T., & Dorin, A. (2018). Past Visions of Artificial Futures: One Hundred and Fifty Years under the Spectre of Evolving Machines. In T. Ikegami, N. Virgo, O. Witkowski, M. Oka, R. Suzuki, & H. Iizuka (Eds.), ALIFE 2018: Proceedings of the Artificial Life Conference 2018 (pp. 91–98). https://doi.org/10.1162/isal_a_00022
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  4. Taylor, T., Dorin, A., & Korb, K. (2014). Digital Genesis: Computers, Evolution and Artificial Life. Presented at the 7th Munich-Sydney-Tilburg Philosophy of Science Conference: Evolutionary Thinking, University of Sydney, 20-22 March 2014. Retrieved from https://arxiv.org/abs/1512.02100
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  5. Taylor, T. (2003). Evolving Interaction in Artificial Systems: An historical overview and future directions. In P. McOwan, K. Dautenhahn, & C. L. Nehaniv (Eds.), Abstracts from the Evolvability and Interaction Symposium, held at Queen Mary, University of London, UK, in October 2003. University of Hertfordshire Computer Science Technical Report No. 393.
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  6. McMullin, B., Taylor, T., & von Kamp, A. (2001). Who Needs Genomes? Proceedings of the Atlantic Symposium on Computational Biology and Genome Information Systems and Technology, CBGIST 2001, 250–254. Duke University, USA.
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  7. Taylor, T. (2000). Some Representational and Ecological Aspects of Evolvability. In C. L. Nehaniv (Ed.), Proceedings of the Evolvability Workshop at the the Seventh International Conference on the Simulation and Synthesis of Living Systems (Artificial Life 7) (pp. 41–44). Retrieved from http://homepages.herts.ac.uk/ comqcln/al7ev/cnts.html
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  8. Taylor, T. (1999). On Self-Reproduction and Evolvability. In D. Floreano, J.-D. Nicoud, & F. Mondada (Eds.), Advances in Artificial Life. ECAL 1999 (pp. 94–103). https://doi.org/10.1007/3-540-48304-7_15
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  9. Taylor, T. J. (1999). From Artificial Evolution to Artificial Life (PhD thesis). School of Informatics, College of Science and Engineering, University of Edinburgh.
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  10. Taylor, T., & Hallam, J. (1997). Studying Evolution with Self-Replicating Computer Programs. In P. Husbands & I. Harvey (Eds.), Fourth European Conference on Artificial Life (pp. 550–559). Cambridge, MA: MIT Press.
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