Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

Analysis on the Connotation of Probability in the Artificial Intelligence Algorithm for Economic Decision Making

Authors
Long Wang, Zhe Wang
Corresponding Author
Long Wang
Available Online July 2015.
DOI
10.2991/csic-15.2015.66How to use a DOI?
Keywords
Probability, Benefit, Decision, Analysis
Abstract

This paper analyzes the inner relations between Classical sub-scheme probability and statistic probability, subjective probability and objective probability, prior probability and posterior probability, Transition probability and probability of utility, and further analysis the goal, method, and its practical economic purpose which represent by these various probability from the perspective of mathematics, so as to deeply understand there connotation and its relation with economic decision making, thus will pave the route for scientific predication and decision making.

Copyright
© 2015, 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 2015 International Conference on Computer Science and Intelligent Communication
Series
Advances in Computer Science Research
Publication Date
July 2015
ISBN
10.2991/csic-15.2015.66
ISSN
2352-538X
DOI
10.2991/csic-15.2015.66How to use a DOI?
Copyright
© 2015, 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  - Long Wang
AU  - Zhe Wang
PY  - 2015/07
DA  - 2015/07
TI  - Analysis on the Connotation of Probability in the Artificial Intelligence Algorithm for Economic Decision Making
BT  - Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
PB  - Atlantis Press
SP  - 275
EP  - 278
SN  - 2352-538X
UR  - https://doi.org/10.2991/csic-15.2015.66
DO  - 10.2991/csic-15.2015.66
ID  - Wang2015/07
ER  -