Connectionist Models and Their Properties 论文

详细信息

发表期刊/会议

Cognitive Science

发表日期

1982-07-01

发表年份

1982

摘要

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.