Biological Motifs for Agentic Control
The transition of Large Language Models (LLMs) from passive generators to autonomous agents has introduced significant challenges in reliability, security, and state management. Current agentic architectures are often constructed ad-hoc, prone to hallucination cascades, infinite loops, and prompt injection attacks. This paper argues that many of these failure modes can be analyzed using control motifs long studied in systems biology, provided the comparison is made at the level of typed interfac
Record details
Published: 5 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Biotech
Retrieved: 14 July 2026
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ethics.ai (5 July 2026), “Biological Motifs for Agentic Control,” evidence record 237, https://ethics.ai/record/237 (originally published by arXiv).
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