A learning-by-metaphor human-machine system

被引：0

作者：

Rubin, Stuart H. ^{[1
]}

机构：

[1] SSC San Diego, San Diego, CA USA

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-6, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ICSMC.2006.384833

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

One of the outstanding problems facing designers of expert systems pertains to the capture of human expertise for replay by the system. The scaling of such expert or knowledge-based systems implies a capability for natural language situational entry as well as a meta-rule based system for reasoning by analogy. The former capability provides for the semantic normalization of natural language, while the latter capability employs metaphor to expand the derived rule base - thereby enabling it to fail softly.

引用

页码：4439 / 4444

页数：6