Connectionist Modeling: Simulating Mental Phenomena Using Artificial Neural Network Architecture Structures
Connectionist modeling is a way of explaining how the mind works by building computational models inspired by networks of simple, interacting units-much like neurons. Instead of describing cognition as a set of explicit rules ("if X, then do Y"), connectionist models represent knowledge as patterns of activation distributed across many...









