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一種面向眾包的基于信譽值的激勵機制

芮蘭蘭 張攀 黃豪球 邱雪松

芮蘭蘭, 張攀, 黃豪球, 邱雪松. 一種面向眾包的基于信譽值的激勵機制[J]. 電子與信息學報, 2016, 38(7): 1808-1815. doi: 10.11999/JEIT151095
引用本文: 芮蘭蘭, 張攀, 黃豪球, 邱雪松. 一種面向眾包的基于信譽值的激勵機制[J]. 電子與信息學報, 2016, 38(7): 1808-1815. doi: 10.11999/JEIT151095
RUI Lanlan, ZHANG Pan, HUANG Haoqiu, QIU Xuesong. Reputation-based Incentive Mechanisms in Crowdsourcing[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1808-1815. doi: 10.11999/JEIT151095
Citation: RUI Lanlan, ZHANG Pan, HUANG Haoqiu, QIU Xuesong. Reputation-based Incentive Mechanisms in Crowdsourcing[J]. Journal of Electronics & Information Technology, 2016, 38(7): 1808-1815. doi: 10.11999/JEIT151095

一種面向眾包的基于信譽值的激勵機制

doi: 10.11999/JEIT151095
基金項目: 

國家自然科學基金(61302078, 61372108),國家自然科學基金創(chuàng)新研究群體科學基金(61121061),北京高等學校青年英才計劃項目(YETP0476)

Reputation-based Incentive Mechanisms in Crowdsourcing

Funds: 

The National Natural Science Foundation of China (61302078, 61372108), The Funds for Creative Research Groups of China (61121061), Beijing Higher Education Young Elite Teacher Project (YETP0476)

  • 摘要: 眾包是互聯(lián)網帶來的一種分布式問題解決模式。然而,由于工作者和任務發(fā)布者具有自私特性并且致力于獲得自身效益的最大化,使得在眾包應用中,存在內部的激勵問題。該文主要完成以下工作:首先,基于重復博弈,提出一種基于信譽值的激勵模型,用于激勵理性工作者高質量地完成任務;其次,該激勵模型中同時設置了懲罰機制,將針對惡意工作者做出相應懲罰。仿真結果表明,即使在自私工作者比例為0.2的條件下,只要合理選擇懲罰參數(shù),均可有效激勵理性工作者的盡力工作,眾包平臺的整體性能可以提升至90%以上。
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出版歷程
  • 收稿日期:  2015-09-25
  • 修回日期:  2016-04-22
  • 刊出日期:  2016-07-19

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