Neuro-symbolic Artificial Intelligence The State Of The Art Pdf [exclusive] Jun 2026
Each approach has crippling weaknesses: symbolic systems are brittle and cannot learn from raw data; neural systems are black boxes, data-hungry, and prone to logical errors.
(Published 2025): Analyzes 167 peer-reviewed papers to categorize current research trends in learning, inference, and knowledge representation. Each approach has crippling weaknesses: symbolic systems are

