An Overview of Open-Ended Evolution: Editorial Introduction to the Open-Ended Evolution II Special Issue
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Abstract (arXiv)
Nature's spectacular inventiveness, reflected in the enormous diversity of form and function displayed by the biosphere, is a feature of life that distinguishes living most strongly from nonliving. It is, therefore, not surprising that this aspect of life should become a central focus of artificial life. We have known since Darwin that the diversity is produced dynamically, through the process of evolution; this has led life's creative productivity to be called Open-Ended Evolution (OEE) in the field. This article introduces the second of two special issues on current research in OEE and provides an overview of the contents of both special issues. Most of the work was presented at a workshop on open-ended evolution that was held as a part of the 2018 Conference on Artificial Life in Tokyo, and much of it had antecedents in two previous workshops on open-ended evolution at artificial life conferences in Cancun and York. We present a simplified categorization of OEE and summarize progress in the field as represented by the articles in this special issue.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 Sep 2019.
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Citing papers per year: 2023: 2; 2024: 2; 2025: 4; 2026: 2.
10 papers.
- 2023A Definition of Open-Ended Learning Problems for Goal-Conditioned Agentscited by 16
- 2025Evolution and The Knightian Blindspot of Machine Learningcited by 11
- 2024From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Modelscited by 8
- 2025Spore in the Wild: A Case Study of Spore.fun as an Open-Environment Evolution Experiment with Sovereign AI Agents on TEE-Secured Blockchainscited by 5
- 2025Safety Must Precede the Deployment of Open-Ended AIcited by 3
- 2024Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospectscited by 1
- 2025Shall We Play a Game? Language Models for Open-ended Wargamescited by 1
- 2023Multi-Agent Interplay in a Competitive Survival Environmentcited by 0
- 2026Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architecturescited by 0
- 2026Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zerocited by 0
- 2026Hyper Algorithm Design Agent: Evolving Learnable Optimizer from Zero28 Sep 2026
- 2026Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architectures10 Aug 2026
- 2025Shall We Play a Game? Language Models for Open-ended Wargames21 Sep 2025
- 2025Spore in the Wild: A Case Study of Spore.fun as an Open-Environment Evolution Experiment with Sovereign AI Agents on TEE-Secured Blockchains24 May 2025
- 2025Safety Must Precede the Deployment of Open-Ended AI6 Feb 2025
- 2025Evolution and The Knightian Blindspot of Machine Learning22 Jan 2025
- 2024From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models14 Jun 2024
- 2024Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects3 Jun 2024
- 2023A Definition of Open-Ended Learning Problems for Goal-Conditioned Agents1 Nov 2023
- 2023Multi-Agent Interplay in a Competitive Survival Environment19 Jan 2023