Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence 事件

Self-Revising Discovery Systems for Science: A Categorical Framework for Agentic Artificial Intelligence arXiv:2606.01444v1 Announce Type: cross Abstract: Scientific discovery is not only answer generation but revision of the representational regime in which evidence, artifacts, operations, and verifiers are typed. We develop a category-theoretic account of agentic discovery for materials science. In a fixed regime b with schema category S_b, the system state is a copresheaf I_t: S_b -> Set, an