Connectionism: The Evolution of Neural Networks

Описание: Connectionism is an approach in cognitive science that models mental processes through interconnected networks of simple units, often using artificial neural networks (ANNs). It contrasts traditional symbolic AI, focusing on learning through experience rather than predefined rules. Originating in the 1940s, it has evolved through several phases, including the rise of deep learning. While it mimics brain-like structures, it faces challenges like interpretability and explaining higher-level phenomena.

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