Using data-mining to allow robots to discover the preferences of humans

被引：0

作者：

Gunderson, LF ^{[1
]}

Gunderson, JP ^{[1
]}

机构：

[1] Gamma Two, Denver, CO USA

来源：

INTERNATIONAL CONFERENCE ON INTEGRATION OF KNOWLEDGE INTENSIVE MULTI-AGENT SYSTEMS: KIMAS'03: MODELING, EXPLORATION, AND ENGINEERING | 2003年

关键词：

D O I：

10.1109/KIMAS.2003.1245083

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

One of the problems in the introduction of robots into human societies is teaching the robots about human preferences. In this paper, a data mining methodology, developed for the analysis of criminal preferences, is extended to allow robots to learn about human preferences.

引用

页码：438 / 443

页数：6

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