Nature Machine Intelligence paper proposes life-inspired interoceptive AI for adaptive agents
AnnaCiaunica · x · 2026-09-03
A Perspective in Nature Machine Intelligence (co-authored by Karl Friston) proposes "interoceptive AI" as a new framing for the fundamental challenge of building agents that autonomously pursue goals while adapting to changing environments.
Key points:
- Living organisms' adaptive autonomy stems from interoception — monitoring and regulating internal bodily states to maintain homeostasis, which underwrites survival;
- Building interoceptive AI requires abstracting internal states from their biological instantiation into functional and mathematical representations applicable to artificial systems;
- The authors argue this route offers design principles for autonomous, adaptive agents beyond purely external reward signals.
A conceptual/framework paper importing homeostatic regulation from life sciences into agent architecture design.
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