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

Wang, Long; Wang, Zhe

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, July). Analysis on the connotation of probability in the artificial intelligence algorithm for economic decision making. Presented at Proceedings of the 2015 International Conference on Computer Science and Intelligent Communication

• 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
• 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
• Contract Date: May 20, 2016