Learning process and Sense of Agency: Bayesian learning or not

Shiro Yano, Hiroshi Imamizu, Toshiyuki Kondo, Takaki Maeda

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The Sense of Agency (SoA) is the subjective sense such that I am the causal factor of the own action and accompanying events in the outside world. We proposed that SoA corresponds to likelihood of the predictive distribution conditioned by own-action. Mathematically, there exist different varieties of online learning algorithm for the predictive distribution. The goal of this article is to clarify the learning algorithm that subjects employ under the specific behavioral experiment. Our result suggests that subjects employ Bayesian update rather than SGD in our experiment.

本文言語English
ホスト出版物のタイトル2016 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509027842
DOI
出版ステータスPublished - 2017 1 18
イベント27th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016 - Nagoya, Japan
継続期間: 2016 11 282016 11 30

出版物シリーズ

名前2016 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016

Other

Other27th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016
国/地域Japan
CityNagoya
Period16/11/2816/11/30

ASJC Scopus subject areas

  • 医学(その他)
  • 生体医工学
  • 機械工学
  • 人間とコンピュータの相互作用
  • 器械工学
  • コンピュータ サイエンスの応用
  • バイオテクノロジー
  • 人工知能

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