Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)

Artificial Intelligence Within Sociology at the Taft School

Authors
Zherui Zhang
Corresponding Author
Zherui Zhang
Available Online January 2019.
DOI
10.2991/erss-18.2019.30How to use a DOI?
Keywords
artificial intelligence; basis for association research; social status agent; AI.
Abstract

The conceivable link between the sociology and artificial intelligence (AI) is developing. The development is owing to the AI knowledge input method implements. As for statistics evaluation, people are more and more fascinated in social status agent and artificial intelligence research, and sociologists are more and more concerned about using artificial intelligence to understand social phenomena. A growing number of researchers are adopting issues of customary significance in sociology, such as the basis for association, and the function of organization in influencing discrete managers, and the collaboration of computational simulations using intellectual adaptive vehicles. This paper summarizes the role of AI in sociology.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
January 2019
ISBN
10.2991/erss-18.2019.30
ISSN
2352-5398
DOI
10.2991/erss-18.2019.30How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zherui Zhang
PY  - 2019/01
DA  - 2019/01
TI  - Artificial Intelligence Within Sociology at the Taft School
BT  - Proceedings of the 2018 International Workshop on Education Reform and Social Sciences (ERSS 2018)
PB  - Atlantis Press
SP  - 154
EP  - 157
SN  - 2352-5398
UR  - https://doi.org/10.2991/erss-18.2019.30
DO  - 10.2991/erss-18.2019.30
ID  - Zhang2019/01
ER  -