An Experience-Dependent Relational Memory System Based on a Numerical Relational Field and Recursive Relational Structures
The paper proposes a memory architecture in which experience changes persistent numerical states and recursive relational structures instead of being stored as a fixed copy. Tests across 24 preregistered stimulus families examine repetition, interference, relational generalization, discrimination, and direct interventions on persistent state. The results identify composition topology formed by prior experience as the state variable governing later structural reuse, while limiting the biological comparison to functional similarities.