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arXiv AI By Michele Persiani, Thomas Hellstr\"om

The Mirror Agent Model: a Bayesian Architecture for Interpretable Agent Behavior

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The paper introduces the Mirror Agent Model, a Bayesian architecture designed to produce interpretable agent behavior and explanations. It defines an observer model that mirrors the agent’s internal state, enabling explicit and implicit communication of intentions. The architecture incorporates off‑the‑shelf saliency methods to generate explanations, and the authors present preliminary qualitative results demonstrating its potential.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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