A neural net model of innovation
作者:
John Ziman,
期刊:
Science and Public Policy
(OUP Available online 1991)
卷期:
Volume 18,
issue 1
页码: 65-75
ISSN:0302-3427
年代: 1991
DOI:10.1093/spp/18.1.65
出版商: Beech Tree Publishing
数据来源: OUP
摘要:
AbstractGeneral public discourse on science and technology is based almost exclusively on the linear model. Other ways of viewing the situation are explored by ‘unpacking’ more dimensions, introducing a ‘department store’ model and knowledge domains in cognitive space, and ending up with a neural net model which allows for ‘learning’ to take place much as in the human brain. This simplistic investigation cannot be a guide for policy-makers but might throw light on certain puzzling features of contemporary R&D institutions.
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