Decision-Making in Emotion Model

被引：5
|
作者：
Hieida, Chie [1 ]
Horii, Takato [1 ]
Nagai, Takayuki [1 ]
机构：
[1] Univ Electrocommun, Chofu, Tokyo, Japan
来源：
COMPANION OF THE 2018 ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI'18) | 2018年
关键词：
D O I：
10.1145/3173386.3177048
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Having emotions is essential for robots to understand and sympathize with the feelings of people. In addition, it may allow the robots to be accepted into human society. The role of emotions in decision-making is another important perspective. In this paper, a model of emotions based on various neurological and psychological findings that are related to empathic communication between humans and robots is proposed. Subsequently, a mechanism of decision-making that is based on affects using convolutional LSTM and deep Q-network is examined.
引用
收藏
页码：127 / 128
页数：2
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