Interoceptive AI framework proposed, inspired by biological internal sensing

A team at Korea's IBS, with Karl Friston among co-authors, published a Nature Machine Intelligence perspective proposing 'interoceptive AI,' a framework that mimics biological internal-state monitoring to build self-regulating autonomous AI agents.

2026-09-03 ~ 2026-09-05 · 2 related posts

• Nature Machine Intelligence paper proposes life-inspired interoceptive AI for adaptive agents — AnnaCiaunica · 2026-09-03
• Life-inspired 'interoceptive AI' framework gives agents internal states for autonomous decision-making — CurieuxExplorer · 2026-09-05