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- W2393488643 abstract "In the incomplete information game,at least one participant does not know the payoff function of other participants,and needs to select an appropriate probability distribution by prior information and sample data. The maximum entropy distribution is most objective and unbiased and has the most uncertainty,so the thesis proposes that participants can select the maximum entropy distribution as unknown true distribution in the incomplete information game for robust decision.Then it studies the specific application of the maximum entropy principle in thesplit-cake problem,and get an accumulation point balance which is most objective and possible." @default.
- W2393488643 created "2016-06-24" @default.
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- W2393488643 date "2011-01-01" @default.
- W2393488643 modified "2023-09-25" @default.
- W2393488643 title "The Application of the Maximum Entropy Principle in the Incomplete Information Game" @default.
- W2393488643 hasPublicationYear "2011" @default.
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