Discussion
What is the connectionist approach?
Answer: B
Connectionism represents knowledge in the weights of a network of simple units, learned from data rather than stated, giving robustness to noise at the cost of interpretability. It is the tradition that produced modern deep learning. The other options describe system integration, symbolic inference and distributed computing. Recognising that the choice between explicit and distributed representation carries consequences for robustness, data requirements and explainability alike is what makes the distinction worth drawing.
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