A Co-learning system for humans and machines

被引：0

作者：

Ogiso, Takaya ^{[1
]}

Yamauchi, Koichiro ^{[1
]}

Ishii, Norio ^{[2
]}

Suzuki, Yuri ^{[1
]}

机构：

[1] Chubu Univ, Grad Sch Engn, Dept Comp Sci, Matsumoto 1200, Kasugai, Aichi, Japan

[2] Aichi Kiwami Coll Nursing, Ichinomiya, Aichi, Japan

来源：

PROCEEDINGS OF THE 2015 SEVENTH INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2015) | 2015年

关键词：

collaborative learning; accelerated learning; human skill; general regression neural network; NEURAL-NETWORK;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Artificial intelligence systems are frequently used to solve various problems in our daily lives. However, these systems require problem-specific big data to facilitate their learning processes. Unfortunately, for unknown environments, there are no previous instances available for learning. To support such learning in unknown environments, we propose a novel hybrid learning system that facilitates collaborative learning between humans and artificial intelligence systems. In this study, we verified that the proposed system accelerated the both human and machine learning by employing a simplified color design task.

引用

页码：363 / 368

页数：6

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