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Knowledge in Animals and Machines
L A Paul1,2,3,4
1Department of Philosophy, Yale University, New Haven, Connecticut 06511 la.paul@yale.edu.
Abstract:
Drawing on philosophical theories of knowledge, I develop a conceptual framework for knowledge in animals and machines. I use this framework to engineer a new concept of large language model (LLM) knowledge and propose a taxonomy of knowledge that spans biological and artificial categories, from C. elegans to LLMs. The approach lays a foundation for a rigorous account of how knowledge can be realized across animals and machines while at the same time respecting the diverse biological and physical sources of such knowledge.
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