Symbolic vs Subsymbolic AI Paradigms for AI Explainability by Orhan G. Yalçın

Human-like systematic generalization through a meta-learning neural network This directed mapping helps the system to use high-dimensional algebraic operations for richer object manipulations, such as variable binding — an open problem in neural networks. When these “structured” mappings are stored in the AI’s memory (referred to as explicit memory), they help the system learn—and learn…