内容紹介

Emotions are very important for human intelligence. For example, emotions are closely related to the appraisal of the internal bodily state and external stimuli. This helps us to respond quickly to the environment. Another important perspective in human intelligence is the role of emotions in decision-making. Moreover, the social aspect of emotions is also very important. Therefore, if the mechanism of emotions were elucidated, I could advance toward the essential understanding of our natural intelligence. In this study, a model of emotions is proposed to elucidate the mechanism of emotions through the computational model. Furthermore, from the viewpoint of partner robots, the model of emotions may help us to build robots that can have empathy for humans. To understand and sympathize with people's feelings, the robots need to have their own emotions. This may allow robots to be accepted in human society. The proposed model is implemented using deep neural networks consisting of three modules, which interact with each other. I simulated the behavior of the model with tasks that mimic mother-child interaction.

詳細情報

刊年

2020

形態

電子化映像資料(44分40秒）

シリーズ名

情報科学領域・コロキアム ; 2020年度

注記

講演者所属: 情報科学領域

講演日: 2020年6月16日

講演場所:

標題言語

英語 (eng)

本文言語

英語 (eng)

著者情報

Hieida, Chie