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Connectionism

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TL;DR. Connectionism is an approach in cognitive science that explains mental processes using artificial neural networks.

Technical Definition

Connectionism is an approach in cognitive science that explains mental processes using artificial neural networks.

How it works

Connectionism is a theoretical framework, primarily in cognitive science, that models mental phenomena using artificial neural networks. It proposes that cognitive processes arise from the interactions of simple processing units, much like neurons in the brain. This approach has heavily influenced the development of deep learning.

Related Concepts

  • Deep Learning — A subset of machine learning using neural networks with many layers to learn hierarchical representations from large datasets.
  • Cognitive science — The interdisciplinary study of the mind, intelligence, and how information is processed, learned, and remembered.

Further Reading

  • Wikipedia — Glossary of AI