Preprint
Jul 2026
From Hybrid Mechanistic--Data-Driven Modeling Toward Neuro-Symbolic AI: What, Why, and How
This work bridges hybrid modeling and neuro-symbolic (NeSy) AI by reconstructing these designs as instances of NeSy interface and derives metrics: structural violation rate (SVR), measuring whether the learned belief respects the mechanistic structure; and belief dispersion (BD), measuring how concentrated the learned plausibility is, serving as a hybrid model's epistemic uncertainty in its mechanistic part.
Moein E. Samadi, Andreas Schuppert
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