Connectionism is a cognitive science approach that models mental or behavioral phenomena as the emergent processes of interconnected networks of simple units, akin to neurons in the brain. This approach emphasizes learning from experience and the parallel processing of information, forming the basis for modern neural network models in artificial intelligence.