DocumentCode
2931299
Title
Maximum entropy grey game model between human and nature
Author
Sun Jin-yu ; Fang Zhi-geng
Author_Institution
Coll. of Econ. & Manage., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear
2013
fDate
15-17 Nov. 2013
Firstpage
436
Lastpage
439
Abstract
Taking the fact that nature chooses the game strategy in accordance with the laws of nature in the real world into account, this paper established of a new game model between human and nature under the gray space. In this model, the object player makes strategy choices based on the maximum entropy criterion, and the subject player follows the strategy of the object player, making strategy choices on the principle of maximizing its return, which points out the shortage of classic game between human and nature, extending the game to the gray space and expanding the application of game theory and grey system theory.
Keywords
entropy; game theory; grey systems; optimisation; system theory; game strategy choices; gray space; grey system theory; maximum entropy criterion; maximum entropy grey game model; object player; return maximization; subject palyer; Educational institutions; Entropy; Game theory; Games; Gold; Linear programming; Uncertainty; Game Between Human And Nature; Grey Game; Maximum Entropy; Object-Subject;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2013 IEEE International Conference on
Conference_Location
Macao
ISSN
2166-9430
Print_ISBN
978-1-4673-5247-5
Type
conf
DOI
10.1109/GSIS.2013.6714821
Filename
6714821
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