Title:
AutomatedNegotiatioDecisionModelasedonMachineLearn
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- AI-NN-PR
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- 2012-11-26
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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．
To Search:
- [gatbx-origin1] - matlab genetic algorithm in the generic
- [LS_SVM] - Least squares support vector machine for
- [SSVM_MATLAB] - LSSVM compiled by MATLAB language,It can
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AutomatedNegotiatioDecisionModelasedonMachineLearning.PDF
