• DocumentCode
    575391
  • Title

    I/O-precedential process as an ontological parameter estimation

  • Author

    Kamiura, Moto ; Murata, Yu

  • Author_Institution
    Sch. of Sci. & Eng., Tokyo Denki Univ., Saitama, Japan
  • fYear
    2012
  • fDate
    20-23 Aug. 2012
  • Firstpage
    798
  • Lastpage
    800
  • Abstract
    In this study, we present a mathematical format to represent influence for a system element without explicit assignment of another interacting element. This format is associated with a data flow process as a new type of numerical driven-dissipative systems. We show the driven-dissipative system can generate power law distributions.
  • Keywords
    numerical analysis; ontologies (artificial intelligence); parameter estimation; I/O-precedential process; data flow process; numerical driven-dissipative systems; ontological parameter estimation; power law distributions; Cognition; Educational institutions; Equations; Least squares approximation; Mathematical model; Parameter estimation; Vectors; Abduction; Driven-Dissipative System; Internal Measurement; Power law;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2012 Proceedings of
  • Conference_Location
    Akita
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-2259-1
  • Type

    conf

  • Filename
    6318550
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=575391