• DocumentCode
    2440795
  • Title

    Analysis of Prerequisite for Experts Acquiring and Reporting Informatively

  • Author

    Lu, Guangsong ; Li, Guochang

  • Author_Institution
    Sch. of Manage., Anhui Inst. of Archit. & Ind., Hefei, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    5094
  • Lastpage
    5097
  • Abstract
    This paper is concerned with the problem of strategic information acquisition and information transmission. In our model, a decision maker delegates multiple experts to acquire information concerning a binary decision under uncertainty. The decision maker and experts have different utility functions with respect to the decision problem, which are their private information. We derive the optimal number of experts which the decision maker should delegate providing that all experts acquire information and report sincerely. Then we identify the prerequisite for all experts gathering and reporting informatively. We show that every expert´s strategy for information acquisition and transmission when he is one of multiple information senders is generally different from that when he is the only one. And every expert´s pivotal probability for the final decision, which is evaluated based on the probability distribution of the decision maker´s threshold of doubt, is not equal to his pivotal probability under the majoritarian decision rule with a quota being the expected threshold of doubt of the decision maker.
  • Keywords
    decision making; information retrieval; statistical distributions; analysis of prerequisite; decision making; information acquisition; information transmission; probability distribution; Biological system modeling; Economics; Equations; Games; Industries; Nash equilibrium; Organizations; decision; incentive compatibility; information acquisition; information transmission; preference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.1278
  • Filename
    5592885