English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 99910/130686 (76%)
Visitors : 37161464      Online Users : 228
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 >  Item 140.119/63015
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/63015

    Title: An Abductive-Reasoning Guide for Finance Practitioners
    Authors: Tsaih, Rua-Huan;Lin, Hsiou-Wei William;Ke, Wen-Chyan
    Contributors: 資管系
    Keywords: Abductive reasoning;Rule extraction;Neural networks;Linear/nonlinear programming
    Date: 2013.06
    Issue Date: 2013-12-26 17:12:44 (UTC+8)
    Abstract: This article proposes a process through which a finance practitioner’s knowledge interacts with artificial intelligence (AI) models. AI models are widely applied, but how these models learn or whether they learn the right things is not easily unveiled. Extant studies especially regarding neural networks have attempted to extract reliable rules/features from AI models. However, if these models make mistakes, then the decision maker may establish paradoxical beliefs. Therefore, extracted rules/features should be justified via the prior thoughts, and vice versa. That is, with these extracted rules/features, a practitioner may need either to update his or her belief or to disregard the AI models. This study sets up a finance demonstraion for the proposed process. The proposed guide demonstrates an abductive-reasoning effect.
    Relation: Computational Economics, 43(4), pp.411-443
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/s10614-013-9390-y
    DOI: 10.1007/s10614-013-9390-y
    Appears in Collections:[資訊管理學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    411-443.pdf682KbAdobe PDF1438View/Open

    All items in 政大典藏 are protected by copyright, with all rights reserved.

    社群 sharing

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback