作者
Christian Balkenius, Peter Gärdenfors
发表日期
1991
研讨会论文
Principles of knowledge representation and reasoning: Proceedings of the second international conference
页码范围
32-39
出版商
Morgan Kaufman
简介
We show that by introducing an appropriate schema concept and exploiting the higher-level features of a resonance function in a neural network it is possible to define a form of nonmonotonic inference relation between the input and the output of the network. This inference relation satisfies some of the most fundamental postulates for nonmonotonic logics. The construction presented in the paper is an example of how symbolic features can emerge from the subsymbolic level of a neural network.
引用总数
学术搜索中的文章
C Balkenius, P Gärdenfors - KR, 1991