IDEAS home Printed from https://ideas.repec.org/a/bla/jinfst/v72y2021i9p1198-1210.html
   My bibliography  Save this article

Construction of a model as an information channel between the physical phenomenon and observer

Author

Listed:
  • Boris Menin

Abstract

This study proposes a method to assess the accuracy limit of the measurements of physical variables to formulate a model, from the perspective of storing, transmitting, processing, and using of information by an observer. The results show the existence of a problem that advanced statistical methods are provably incapable of solving due to the presence of initial and inevitable model uncertainties arising from a qualitative set of base quantities and the number of variables which are considered, even before verifying the different sources of the uncertainties and executing any experimental measurements or computer calculations. The information contained in the model can be used theoretically and practically to test the solutions to a wide range of problems. Revealing the measurement accuracy limit (in addition to the Heisenberg inequality) with the help of the information transmitted from the studied phenomenon to the observer, which is then stored in the model, helps to perform two additional tasks: choosing the preferred method for measuring a particular physical constant, in physics; and calculating the exact value of the threshold discrepancy between the model and the measured object, in measurement theory. Further research indicates the possibility of allying these methods in biological and medical sciences.

Suggested Citation

  • Boris Menin, 2021. "Construction of a model as an information channel between the physical phenomenon and observer," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(9), pages 1198-1210, September.
  • Handle: RePEc:bla:jinfst:v:72:y:2021:i:9:p:1198-1210
    DOI: 10.1002/asi.24473
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/asi.24473
    Download Restriction: no

    File URL: https://libkey.io/10.1002/asi.24473?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. George J. Klir, 2006. "Uncertainty and Information: Emergence of Vast New Territories," Springer Books, in: Gianfranco Minati & Eliano Pessa & Mario Abram (ed.), Systemics of Emergence: Research and Development, pages 3-28, Springer.
    2. Seth Lloyd, 2000. "Ultimate physical limits to computation," Nature, Nature, vol. 406(6799), pages 1047-1054, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Richters, Oliver, 2013. "Perspektiven für ein glückliches Leben jenseits des Wachstums," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 99-113.
    2. Robert Burgan, 2012. "Časopriestorová lokalizácia vesmírnych civilizácií," E-LOGOS, Prague University of Economics and Business, vol. 2012(1), pages 1-48.
    3. Wei, Dongmei & Liu, Hailing & Li, Yongmei & Gao, Fei & Qin, Sujuan & Wen, Qiaoyan, 2023. "Quantum speed limit for time-fractional open systems," Chaos, Solitons & Fractals, Elsevier, vol. 175(P2).
    4. Kaldasch, Joachim, 2014. "Evolutionary Model of Moore’s Law," MPRA Paper 54397, University Library of Munich, Germany.
    5. Giulio Chiribella & Fei Meng & Renato Renner & Man-Hong Yung, 2022. "The nonequilibrium cost of accurate information processing," Nature Communications, Nature, vol. 13(1), pages 1-10, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:jinfst:v:72:y:2021:i:9:p:1198-1210. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.asis.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.