T-Norm Operators for EU AI Act Compliance Classification: An Empirical Comparison of Łukasiewicz, Product, and Gödel Semantics in a Neuro-Symbolic Reasoning System

I present a comparative pilot evaluation of three t-norm operators — Łukasiewicz (T_L), Product (T_P), and Gödel (T_G) — as logical conjunction mechanisms in a neuro-symbolic reasoning system for EU AI Act compliance classification. Using the LGGT+ engine and a benchmark of 1035 annotated AI system descriptions, we evaluate classification accuracy across four risk categories. At n=1035, all operators differ significantly (McNemar p<0.001). T_G achieves highest accuracy (84.5%) but introduces 0.8% false positives. Code and benchmark dataset: github.com/TriStiX-LS/LggT-core (Apache 2.0).