JSAI2020

Presentation information

General Session

General Session » J-13 AI application

[2M6-GS-13] AI application: Artificial General Intelligence

Wed. Jun 10, 2020 5:50 PM - 6:50 PM Room M (jsai2020online-13)

座長:長井隆行(大阪大学)

6:30 PM - 6:50 PM

[2M6-GS-13-03] Proposal of brain function model for process generating prediction error toward humanlike agent based on device ontology

〇Yoshimasa Tawatsuji1, Tatsunori Matsui1 (1. Waseda University)

Keywords:Uncanny Valley, Brain Function Model, Device Ontology

Uncanny Valley Effect is an important to understand how human beings recognize others,and its neurological architecture still remains unclear. Cognitive neuroscience researches have proposed that "prediction error" - contradiction between perceptive (artificial) movement and predictive (biological) movement - should be a key concept to understand the effect. In this paper, we proposed a brain functional model based on device ontology to provide uniformly description for neural basis subserving the prediction error of the uncanny valley effect.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password