Connectionism describes mental or behavioral phenomena as emergent properties of interconnected networks of simple units. These Neural Networks process information through the strength and pattern of their many links, offering a powerful computational framework within Cognitive Science. It posits that learning and representation are distributed across these connections, rather than centralized.