Learning process and Sense of Agency: Bayesian learning or not

Shiro Yano, Hiroshi Imamizu, Toshiyuki Kondo, Takaki Maeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027842
DOIs
Publication statusPublished - 2017 Jan 18
Event27th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016 - Nagoya, Japan
Duration: 2016 Nov 282016 Nov 30

Other

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

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Biomedical Engineering
  • Mechanical Engineering
  • Human-Computer Interaction
  • Instrumentation
  • Computer Science Applications
  • Biotechnology
  • Artificial Intelligence

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  • Cite this

    Yano, S., Imamizu, H., Kondo, T., & Maeda, T. (2017). Learning process and Sense of Agency: Bayesian learning or not. In 2016 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016 [7824233] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MHS.2016.7824233