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/).
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 -