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Autonomy, Social Norms, and Alignment: Towards a Developmental Framework for Autonomous Artificial Agents

arXiv · AI, language, vision and robotics · article · Sep 10, 2026 · UTC

In recent years, artificial intelligence has made extraordinary progress thanks to large-scale models capable of generalization and the generation of complex outputs. However, transferring this potential into embodied agents reveals a significant limitation: the most advanced systems rely on pre-existing datasets and human feedback strategies that are powerful but insufficient in dynamic or unknown contexts. To adapt, an agent must acquire knowledge through direct interaction with its environment. One strategy to address this challenge involves introducing higher-level mechanisms, such as intr

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Evidence & attribution

First collected: 2026-09-20T19:02:05.452Z. This is not the publication date.