The process of back propagation is most closely associated with
A) semantic networks.
B) connectionist networks.
C) reasoning about categories.
D) spreading activation.

Question

Quizplus · Accepted Answer

Back propagation is a learning algorithm commonly used in connectionist networks, also known as artificial neural networks. It involves adjusting the weights of the connections between neurons in the network based on the error between the predicted output and the actual output, with the goal of minimizing that error over time. Back propagation is not directly associated with semantic networks, reasoning about categories, or spreading activation.

The Process of Back Propagation Is Most Closely Associated with