TY - GEN
T1 - Learning process and Sense of Agency
T2 - 27th International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016
AU - Yano, Shiro
AU - Imamizu, Hiroshi
AU - Kondo, Toshiyuki
AU - Maeda, Takaki
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017/1/18
Y1 - 2017/1/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85013631349&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013631349&partnerID=8YFLogxK
U2 - 10.1109/MHS.2016.7824233
DO - 10.1109/MHS.2016.7824233
M3 - Conference contribution
AN - SCOPUS:85013631349
T3 - 2016 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016
BT - 2016 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 November 2016 through 30 November 2016
ER -