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
Link To Document :
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