Neuro-symbolic artificial intelligence (NeSy) is a hybrid field that combines the pattern-recognition strengths of neural networks with the structured reasoning of symbolic AI. This "third wave" of AI aims to overcome the "black box" limitations of deep learning by adding explainability and logical transparency. State of the Art Overview
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References
: New Vision-Language-Action (VLA) models using neuro-symbolic logic learned complex tasks, like the Tower of Hanoi, in just 34 minutes
This PDF is the Kuhnian paradigm shift document for AI. It acknowledges that pure scaling of LLMs will not yield AGI—we need structure, logic, and symbols. If you are tired of simply throwing more data at a transformer and want to build AI that can reason, download (or purchase) this volume.
(2026): A high-level survey covering the integration of perceptual adaptability with logical rigor.

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