Temporal evolution of a causal network through conceptual clustering

被引：0

作者：

Ahuja, S.B. ^{[1
]}

Soh, W.-Y. ^{[1
]}

机构：

[1] Univ of Maryland, United States

来源：

Neural Networks | 1988年 / 1卷 / 1 SUPPL期

关键词：

Artificial Intelligence;

D O I：

10.1016/0893-6080(88)90105-0

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper introduces a unique approach to the temporal evolution of a causal network, based on LIBRA/Dx: a recently proposed parallel activation model for diagnostic reasoning. The model provides a mechanism by means of which domain knowledge can be arranged in such a fashion that relevant pieces configure themselves dynamically in each situation to form tailor-made explanations. The model is based on the hypothesis that simultaneous satisfaction of multiple local constraints among domain concepts is sufficient to construct a global explanation for a set of observed signs and symptoms.

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