• DocumentCode
    2233651
  • Title

    Automated Knowledge Appreciation: A relevant reasoning approach to expand our knowledge and increase its value automatically

  • Author

    Cheng, Jingde

  • Author_Institution
    Department of Information and Computer Sciences, Saitama University, Japan
  • fYear
    2015
  • fDate
    6-8 July 2015
  • Firstpage
    175
  • Lastpage
    183
  • Abstract
    The problem what is the most intrinsic difference between animal-like intelligence and human-like intelligence was not satisfactorily investigated. As a result, almost all current socalled intelligent systems implemented only some animal-like intelligence but not human-like intelligence. This paper proposes a novel research direction: Automated Knowledge Appreciation, that intents to establish a general systematic methodology and develop automated tools to expand our knowledge and increase its value automatically. The paper presents a relevant reasoning approach to Automated Knowledge Appreciation.
  • Keywords
    Intelligent systems; automated theorem finding; human-like intelligence; knowledge appreciation; relevant reasoning; strong relevant logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics & Cognitive Computing (ICCI*CC), 2015 IEEE 14th International Conference on
  • Conference_Location
    Beijing, China
  • Print_ISBN
    978-1-4673-7289-3
  • Type

    conf

  • DOI
    10.1109/ICCI-CC.2015.7259383
  • Filename
    7259383