Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research

Borg, James M.; Buskell, Andrew; Kapitany, Rohan; Powers, Simon T.; Reindl, Eva; Tennie, Claudio

Abstract

The goal of Artificial Life research, as articulated by Chris Langton, is “to contribute to theoretical biology by locating life-as-we-know-it within the larger picture of life-as-it-could-be.” The study and pursuit of open-ended evolution in artificial evolutionary systems exemplify this goal. However, open-ended evolution research is hampered by two fundamental issues: the struggle to replicate open-endedness in an artificial evolutionary system and our assumption that we only have one system (genetic evolution) from which to draw inspiration. We argue not only that cultural evolution should be seen as another real-world example of an open-ended evolutionary system but that the unique qualities seen in cultural evolution provide us with a new perspective from which we can assess the fundamental properties of, and ask new questions about, open-ended evolutionary systems, especially with regard to evolved open-endedness and transitions from bounded to unbounded evolution. Here we provide an overview of culture as an evolutionary system, highlight the interesting case of human cultural evolution as an open-ended evolutionary system, and contextualize cultural evolution by developing a new framework of (evolved) open-ended evolution. We go on to provide a set of new questions that can be asked once we consider cultural evolution within the framework of open-ended evolution and introduce new insights that we may be able to gain about evolved open-endedness as a result of asking these questions.

Citation

Borg, J. M., Buskell, A., Kapitany, R., Powers, S. T., Reindl, E., & Tennie, C. (2024). Evolved Open-Endedness in Cultural Evolution: A New Dimension in Open-Ended Evolution Research. Artificial Life, 30(3), 417-438. https://doi.org/10.1162/artl_a_00406

• Journal Article Type: Article
• Acceptance Date: Jun 1, 2024
• Online Publication Date: Aug 1, 2024
• Publication Date: Aug 1, 2024
• Deposit Date: Aug 20, 2024
• Journal: Artificial Life
• Print ISSN: 1064-5462
• Electronic ISSN: 1530-9185
• Publisher: Massachusetts Institute of Technology Press
• Peer Reviewed: Peer Reviewed
• Volume: 30
• Issue: 3
• Pages: 417-438
• DOI: https://doi.org/10.1162/artl_a_00406
• Public URL: https://durham-repository.worktribe.com/output/2761896