Connectionism is a theoretical framework in cognitive science and artificial intelligence that models mental processes using networks of simple units, often inspired by the way biological neural networks operate in the brain. It emphasizes the connections between these units, which can represent neurons, and how they work together to process information. Key characteristics of connectionism include: 1. **Neural Networks**: Connectionist models are typically built using artificial neural networks (ANNs) that consist of layers of interconnected nodes or "neurons.
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