Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
34th (2020)
Session ID : 2M6-GS-13-03
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Proposal of brain function model for process generating prediction error toward humanlike agent based on device ontology
*Yoshimasa TAWATSUJITatsunori MATSUI
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Abstract

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.

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© 2020 The Japanese Society for Artificial Intelligence
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