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作者:

Wu, Yuying (Wu, Yuying.) | Lu, Jinxuan (Lu, Jinxuan.) | Yan, Feng (Yan, Feng.)

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摘要:

An offer is accepted or rejected based on the utility function in the traditional automatic negotiation. Acceptability based on the fuzzy set theory and the membership function is used to evaluate offers. Since different issues have different effect on negotiators, the combined concession in the multi-issue negotiation, Bayesian learning mechanism and genetic algorithm are adopted to update its beliefs about incomplete information. The fuzzy negotiation model is a more practical than the traditional negotiation model.

关键词:

agent automatic negotiation Bayesian learning genetic algorithm membership function Swarm

作者机构:

  • [ 1 ] [Wu, Yuying]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China
  • [ 2 ] [Lu, Jinxuan]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China
  • [ 3 ] [Yan, Feng]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China

通讯作者信息:

  • [Wu, Yuying]Beijing Univ Technol, Sch Econ & Management, Beijing 100022, Peoples R China

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来源 :

ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 5, PROCEEDINGS

年份: 2007

页码: 379-,

语种: 英文

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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