Directory: AI-NN-PR
Plat: matlab
Size: 502KB
Downloads: 35
Upload time: 2010-01-21 21:11:45
Uploader: zhanghao1309
Description:   The proposed model labels the negotiation history data automatically by making full use of the implicit information in negotiation history.Then,the labeled data become the training samples of least-squares support vector machine that outputs the estimation of opponent’s utility function.After that,the self s utility function and the estimation of opponent’s utility function constitute a constraint optimization problem that will be further figured out by genetic algorithm.The optimal solution is the counter-ofer of onesel~ Experimental results show that the proposed model is efective and efi cient in environments where information is private and the prior knowledge is not available.

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