Knowledge in Animals and Machines

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Authors: L. A. Paul
Cited by: 1
References: 31

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.

Fields of Study & Subjects

Language and cultural evolution Embodied and Extended Cognition Origins and Evolution of Life

Publication details

Journal / source
Journal of Neuroscience
Publisher
Society for Neuroscience
Volume
46
Issue
1
Pages
e0939252025–e0939252025
Publication date
7 January 2026
Language
EN