Caleb Schultz Kisby

What Do Hebbian Learners Learn? Reduction Axioms for Iterated Hebbian Learning

This paper is a contribution to neural network semantics, a foundational framework for neuro-symbolic AI. The key insight of this theory is that logical operators can be mapped to operators on neural network states. In this paper, we do this for a neural network learning operator. We map a dynamic o…