Host: The Japanese Society for Artificial Intelligence
Name : The 33rd Annual Conference of the Japanese Society for Artificial Intelligence, 2019
Number : 33
Location : [in Japanese]
Date : June 04, 2019 - June 07, 2019
Emotions are very important for human intelligence; however the mechanism of emotions is not yet fully clarified. The important aspect of embodiment in emotion has been claimed by Damasio's somatic marker hypothesis, which proposed that emotions evaluate external stimuli efficiently through the body. As a first step toward understanding the mechanism of emotion, we try to verify the somatic-marker hypothesis using a computer simulation. Specifically, we introduce a module that learns actions using body signals, and verify whether the agent can learn to obtain higher reward using the body signals. As the result, the simulation reveals that the model with body signals can select actions with higher reward compared to models without signals from the body.