Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design

Agentic systems are increasingly expected to improve after deployment, yet single-entity self-evolution is often bounded by a static learning context, such as fixed tasks and feedback. This survey focuses on co-evolution in agentic systems, a multi-component form of self-evolution in which multiple agents and their environment impose adaptive pressure on one another. To organize existing papers, we propose a progressive three-stage taxonomy that traces how the system gradually sheds human-engine

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ethics.ai (9 August 2026), “Co-Evolution in Agentic Systems: Toward Self-Directed Evolution Beyond Human Design,” evidence record 18379, https://ethics.ai/record/18379 (originally published by HuggingFace Daily Papers).

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