Emotion in Robot Decision Making

被引：0

作者：

Novianto, Rony ^{[1
]}

Williams, Mary-Anne ^{[1
]}

机构：

[1] Univ Technol Sydney, Ctr Quantum Computat & Intelligent Syst QCIS, Sydney, NSW, Australia

来源：

ROBOT INTELLIGENCE TECHNOLOGY AND APPLICATIONS 4 | 2017年 / 447卷

关键词：

Emotion; Subjective bias; Decision making;

D O I：

10.1007/978-3-319-31293-4_18

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Social robots are expected to behave in a socially acceptable manner. They have to accommodate emotions in their decision-makings when dealing with people in social environments. In this paper, we present a novel emotion mechanism that influences decision making and behaviors through attention. We describe its implementation in a cognitive architecture and demonstrate its capability in a robot companion experiment. Results show that the robot can successfully bias its behaviors in order to make users happy. Our proposed emotion mechanism can be used in social robots to predict emotions and bias behaviors in order to improve their performances.

引用

页码：221 / 232

页数：12

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