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arXiv AI By Robert Prentner

Categorical AI phenomenology: A first-person approach

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The paper proposes a phenomenology-first framework for artificial consciousness, redefining consciousness as the subjective experience produced through an agent’s interface with the world. It models first-person structures mathematically using categories derived from Q-networks, which serve as relational interfaces encoding agent‑world interactions. This approach aligns with 4E cognition theories—enactive, embedded, and extended—and offers a rigorous, categorical account of how computational systems can embed information processing into phenomenological structure.

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