chapter  1
26 Pages

Why are Neural Networks Relevant to Higher Cognitive Function?

The rapid rise in popularity and productivity of artificial neural networks has been due mainly to the success of these networks in performing relatively low-level functions. These functions include, for example, perception, segmentation, and classification of patterns. In the light of this success, there have been questions raised in the artificial intelligence and cognitive science communities as to whether the types of connections and algorithms used in these networks are also relevant to the understanding of higher-level functions such as concept formation, reasoning, and inference (Chandrasekharan, Goel, & Allemang, 1988; Fodor & Pylyshyn, 1988).