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A unified taxonomy reveals how agentic architectures can transform recommender systems into more autonomous and interactive entities.
The fragmented field of world modeling can now be unified under a "levels x laws" taxonomy, revealing critical gaps in autonomous model revision and decision-centric evaluation.