Paradigms of Identifying and Quantifying Uncertainty and Information in Constructing a Cognition-Modeling Framework of Human-Machine Transportation Systems.
J. Yu. University of California, Irvine, USA, (2018)base-search.net (ftcdlib:qt2zn478wb).
Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Thesis
%1 phd/basesearch/Yu18a
%A Yu, Jiangbo
%D 2018
%K dblp
%T Paradigms of Identifying and Quantifying Uncertainty and Information in Constructing a Cognition-Modeling Framework of Human-Machine Transportation Systems.
@phdthesis{phd/basesearch/Yu18a,
added-at = {2019-04-16T00:00:00.000+0200},
author = {Yu, Jiangbo},
biburl = {https://www.bibsonomy.org/bibtex/23e0cd2ad27198ef751d4161cb0eaecc6/dblp},
ee = {https://www.base-search.net/Record/e9678b7d738d34e3d2febddbbd831b5a3794c63a081553097b4b72b61b9500cb},
interhash = {998fa2b4aca9d6c9bf4693c1c87e1b6e},
intrahash = {3e0cd2ad27198ef751d4161cb0eaecc6},
keywords = {dblp},
note = {base-search.net (ftcdlib:qt2zn478wb)},
school = {University of California, Irvine, USA},
timestamp = {2019-04-17T11:41:25.000+0200},
title = {Paradigms of Identifying and Quantifying Uncertainty and Information in Constructing a Cognition-Modeling Framework of Human-Machine Transportation Systems.},
year = 2018
}