Connectionist Models and Their Properties

作者：Jerome A. Feldman, D.H. Ballard · 发表于：Cognitive Science · 年份：1982 · DOI：10.1207/s15516709cog0603_1 · 被引用次数：1325 · 研究领域：Neural Networks and Applications、Fractal and DNA sequence analysis、Cognitive Science and Education Research

Much of the progress in the fields constituting cognitive science has been based upon the use of explicit information processing models, almost exclusively patterned after conventional serial computers. An extension of these ideas to massively parallel, connectionist models appears to offer a number of advantages. After a preliminary discussion, this paper introduces a general connectionist model and considers how it might be used in cognitive science. Among the issues addressed are: stability and noise‐sensitivity, distributed decision‐making, time and sequence problems, and the representation of complex concepts.