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Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making.

Wang, Long; Wang, Zhe

Authors

Long Wang

Zhe Wang



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.

Citation

Wang, L., & Wang, Z. (2015). Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making. In Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication (275-278). https://doi.org/10.2991/csic-15.2015.66

Conference Name Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
Start Date Jul 18, 2015
End Date Jul 19, 2015
Acceptance Date Aug 1, 2005
Publication Date 2015-06
Deposit Date May 20, 2016
Publicly Available Date May 20, 2016
Electronic ISSN 2352-538x
Peer Reviewed Peer Reviewed
Volume 16
Pages 275-278
Series Title Advances in Computer Science Research
Book Title Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication
ISBN 978-94-62520-84-4
DOI https://doi.org/10.2991/csic-15.2015.66
Keywords Probability; benefit; decision; analysis;
Public URL http://researchrepository.napier.ac.uk/id/eprint/10239
Publisher URL http://dx.doi.org/10.2991/csic-15.2015.66

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