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September 20, 2025

A Semantic Framework for Neurosymbolic Computation (Abstract Reprint)

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Authors

SOSimon OdenseAGArtur S. d’Avila Garcez

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Overview

A semantic framework defines encoding for neurosymbolic AI, providing context and guidance for future systems.

Key Points

  • Semantic encoding enables a formal definition for correcltly translating symbolic knowledge to neural networks, enhancing theory.
  • Many existing neurosymbolic methods fit within this framework, showing a unified approach to encoding symbolic systems.
  • Examples and proofs demonstrate correspondence with diverse methods, suggesting a coherent theory for future developments.
  • The framework aims to spark discussions on the semantics of deep learning and the theoretical foundations of neurosymbolic AI.

Cite This Study

Odense et al. (2025) studied this question.

synapsesocial.com/papers/68d43913713b0b5dfea79388https://doi.org/10.24963/ijcai.2025/1230
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