--- layout: default --- Publication details The Importance of Open-Endedness (For the Sake of Open-Endedness) Tim Taylor 2020 Abstract A paper in the recent Artificial Life journal special issue on open-ended evolution (OEE) presents a simple evolving computational system that, it is claimed, satisfies all proposed requirements for OEE (Hintze, 2019). Analysis and discussion of the system are used to support the further claims that complexity and diversity are the crucial features of open-endedness, and that we should concentrate on providing proper definitions for those terms rather than engaging in "the quest for open-endedness for the sake of open-endedness" (Hintze, 2019, p. 205). While I wholeheartedly support the pursuit of precise definitions of complexity and diversity in relation to OEE research, I emphatically reject the suggestion that OEE is not a worthy research topic in its own right. In the same issue of the journal, I presented a "high-level conceptual framework to help orient the discussion and implementation of open-endedness in evolutionary systems" (Taylor, 2019). In the current brief contribution I apply my framework to Hinzte’s model to understand its limitations. In so doing, I demonstrate the importance of studying open-endedness for the sake of open-endedness. Full text Author preprint: pdf On publisher's website: via DOI Reference Taylor, T. (2020). The Importance of Open-Endedness (For the Sake of Open-Endedness). In J. Bongard, J. Lovato, L. Hebert-Dufrésne, R. Dasari, & L. Soros (Eds.), ALIFE 2020: Proceedings of the Artificial Life Conference 2020 (pp. 578–580). https://doi.org/10.1162/isal_a_00257 BibTeX @inproceedings{taylor2020importance, author = {Taylor, Tim}, title = {The Importance of Open-Endedness (For the Sake of Open-Endedness)}, booktitle = {ALIFE 2020: Proceedings of the Artificial Life Conference 2020}, editor = {Bongard, Josh and Lovato, Juniper and Hebert-Dufrésne, Laurent and Dasari, Radhakrishna and Soros, Lisa}, year = {2020}, publisher = {{MIT} Press}, pages = {578-580}, doi = {10.1162/isal_a_00257}, category = {conference}, keywords = {oee} } Related publications
  1. Channon, A., Bedau, M., Packard, N., & Taylor, T. (2024). Editorial Introduction to the 2024 Special Issue on Open-Ended Evolution. Artificial Life, 30(3), 300–301. https://doi.org/10.1162/artl_e_00445
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  2. Taylor, T. (2021). Evolutionary Innovation Viewed as Novel Physical Phenomena and Hierarchical Systems Building. Presented at the Fourth Workshop on Open-Ended Evolution (OEE4) at the 2021 Conference on Artificial Life (ALIFE 2021). Retrieved from https://arxiv.org/abs/2107.09669
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  3. Taylor, T. (2019). Evolutionary Innovations and Where to Find Them: Routes to Open-Ended Evolution in Natural and Artificial Systems. Artificial Life, 25(2), 207–224. https://doi.org/10.1162/artl_a_00290
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  4. Packard, N., Bedau, M., Channon, A., Ikegami, T., Rasmussen, S., Stanley, K., & Taylor, T. (2019). An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue. Artificial Life, 25(2), 93–103. https://doi.org/10.1162/artl_a_00291
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  5. Packard, N., Bedau, M., Channon, A., Ikegami, T., Rasmussen, S., Stanley, K., & Taylor, T. (2019). Open-Ended Evolution and Open-Endedness: Editorial Introduction to the Open-Ended Evolution I Special Issue. Artificial Life, 25(1), 1–3. https://doi.org/10.1162/artl_e_00282
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  6. Taylor, T. (2018). Routes to Open-Endedness in Evolutionary Systems. Presented at the Third Workshop on Open-Ended Evolution (OEE3) at the 2018 Conference on Artificial Life (ALIFE 2018). Retrieved from https://arxiv.org/abs/1806.01883v3
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  7. Taylor, T., Bedau, M., Channon, A., Ackley, D., Banzhaf, W., Beslon, G., … Wiser, M. (2016). Open-Ended Evolution: Perspectives from the OEE Workshop in York. Artificial Life, 22(3), 408–423. https://doi.org/10.1162/artl_a_00210
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  8. Taylor, T. (2015). Requirements for Open-Ended Evolution in Natural and Artificial Systems. Presented at the EvoEvo Workshop at the European Conference on Artificial Life 2015 (ECAL 2015). Retrieved from https://arxiv.org/abs/1507.07403
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  9. Taylor, T. (2014). Evolution in virtual worlds. In M. Grimshaw (Ed.), The Oxford Handbook of Virtuality (pp. 526–548). https://doi.org/10.1093/oxfordhb/9780199826162.013.044
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  10. Taylor, T. (2012). Exploring the Concept of Open-Ended Evolution. In C. Adami, D. M. Bryson, C. Ofria, & R. T. Pennock (Eds.), Artificial Life 13: Proceedings of the Thirteenth International Conference on the Simulation and Synthesis of Living Systems (pp. 540–541). MIT Press.
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  11. Taylor, T. (2004). Redrawing the Boundary between Organism and Environment. In J. Pollack, M. A. Bedau, P. Husbands, R. A. Watson, & T. Ikegami (Eds.), Artificial Life IX: Proceedings of the Ninth International Conference on the Simulation and Synthesis of Living Systems (pp. 268–273). https://doi.org/10.7551/mitpress/1429.003.0045
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  12. 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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  13. Taylor, T. (2001). Creativity in Evolution: Individuals, Interactions and Environments. In P. J. Bentley & D. W. Corne (Eds.), Creative Evolutionary Systems (pp. 79–108). https://doi.org/10.1016/b978-155860673-9/50037-9
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  14. 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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  15. 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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  16. Taylor, T. (1998). Nidus Design Document (Departmental Working Paper No. 269). Department of Artificial Intelligence, University of Edinburgh.
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