Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Logic, Reasoning, and Knowledge
Abstract
Invited talk at Advances in Cognitive Systems 2026 (ACS 2026), Edinburgh. This talk explores the evolution and current state of neurosymbolic AI, an approach that integrates neural network capabilities with symbolic reasoning. We trace the historical context from early AI aspirations to modern implementations and successes, highlighting key paradigms, and other logical and semantical considerations. We argue against the “scaling is all you need” hypothesis, and point to persistent challenges in reliable symbolic reasoning with deep and large models. Then we conclude by suggesting that despite numerous implementation choices and the “broad church” nature of neuro-symbolic AI, these approaches offer the most promising path towards AI systems that combine pattern recognition with robust reasoning, particularly for applications requiring structured knowledge, explainability, and trustworthiness.
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