Inspired by the brain, the connectionist approach models intelligence through networks of simple, interconnected units. It excels in pattern recognition and learning from data, powering modern deep learning. Researchers in AI and cognitive science benefit from this framework to understand neural processes and build adaptive systems for speech, vision, and decision-making.
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