Incremental Knowledge Acquisition with Selective Active Learning

被引：0

作者：

Myagmarjav, Batbold ^{[1
]}

Sridharan, Mohan ^{[1
]}

机构：

[1] Texas Tech Univ, Lubbock, TX 79409 USA

来源：

PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS & MULTIAGENT SYSTEMS (AAMAS'15) | 2015年

关键词：

Human-robot collaboration; Knowledge Acquisition; contextual query generation;

D O I：

暂无

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 describes an architecture for robots interacting with non-expert humans to incrementally acquire domain knowledge. Candidate questions are generated using contextual information and ranked using different measures with the objective of maximizing the potential utility of the response. We report results of some preliminary experiments evaluating the architecture in a simulated environment.

引用

页码：1993 / 1994

页数：2

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