IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbjnl/v12y2021i1p30.html
   My bibliography  Save this article

Ants’ Mental Positioning of Amounts on a Number Line

Author

Listed:
  • Roger Cammaerts
  • Marie-Claire Cammaerts

Abstract

Myrmica sabuleti ants have a mental number line on which numbers (non-symbolic displayed amounts) are ranked, the smaller on the left and the larger on the right. Here we try to know if the difference between two successive numbers is identically estimated all along this line or is less and less well estimated with increasing number magnitude. Ants were trained to distinguish two successive numbers differing by one unit (1 vs 2, 2 vs 3, …, 6 vs 7) during 72 hours and tested after 7, 24, 31, 48, 55 and 72 h. The ants responded less well for larger numbers (e.g. their response to 6 vs 7 was weaker than that to 1 vs 2). The relation between the ants’ ability in discriminating two successive numbers according to their relative difference was best described by a non-linear function, a logarithmic function providing a higher fit than a power function. A linear function could only significantly better fit the data when the ratio or the mean of the two numbers was taken into account, particularly in the case of the mean when large fluctuations in the ants’ discrimination score appeared in the course of increasing training time. In fact, mean and ratio do not express the relative difference between numbers. Second-order polynomial functions could provide higher fitting, but generally non-significant. The ants’ mental positioning of numerosity on their number line appears thus to be compressed along a non-linear scale, most likely according to a logarithmic function.

Suggested Citation

  • Roger Cammaerts & Marie-Claire Cammaerts, 2021. "Ants’ Mental Positioning of Amounts on a Number Line," International Journal of Biology, Canadian Center of Science and Education, vol. 12(1), pages 1-30, December.
  • Handle: RePEc:ibn:ijbjnl:v:12:y:2021:i:1:p:30
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ijb/article/download/0/0/41489/43424
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ijb/article/view/0/41489
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrick Royston & Douglas G. Altman, 1994. "Regression Using Fractional Polynomials of Continuous Covariates: Parsimonious Parametric Modelling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 43(3), pages 429-453, September.
    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. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    2. Proto, Eugenio & Rustichini, Aldo, 2012. "Life Satisfaction, Household Income and Personality Traits," The Warwick Economics Research Paper Series (TWERPS) 988, University of Warwick, Department of Economics.
    3. Christel Faes & Marc Aerts & Helena Geys & Geert Molenberghs, 2007. "Model Averaging Using Fractional Polynomials to Estimate a Safe Level of Exposure," Risk Analysis, John Wiley & Sons, vol. 27(1), pages 111-123, February.
    4. Adrian Adermon & Mikael Lindahl & Daniel Waldenström, 2018. "Intergenerational Wealth Mobility and the Role of Inheritance: Evidence from Multiple Generations," Economic Journal, Royal Economic Society, vol. 128(612), pages 482-513, July.
    5. Jackson, Christopher, 2016. "flexsurv: A Platform for Parametric Survival Modeling in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 70(i08).
    6. Hünermund, Paul & Czarnitzki, Dirk, 2019. "Estimating the causal effect of R&D subsidies in a pan-European program," Research Policy, Elsevier, vol. 48(1), pages 115-124.
    7. Malloy, Elizabeth J. & Spiegelman, Donna & Eisen, Ellen A., 2009. "Comparing measures of model selection for penalized splines in Cox models," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2605-2616, May.
    8. Proto, Eugenio & Rustichini, Aldo, 2015. "Life satisfaction, income and personality," Journal of Economic Psychology, Elsevier, vol. 48(C), pages 17-32.
    9. Marcelo Cajias & Philipp Freudenreich & Anna Heller & Wolfgang Schaefers, 2018. "Censored Quantile Regressions and the Determinants of Real Estate Liquidity," ERES eres2018_203, European Real Estate Society (ERES).
    10. Marisa Rifada & Vita Ratnasari & Purhadi Purhadi, 2023. "Parameter Estimation and Hypothesis Testing of The Bivariate Polynomial Ordinal Logistic Regression Model," Mathematics, MDPI, vol. 11(3), pages 1-12, January.
    11. Pregaldini, Damiano & Backes-Gellner, Uschi & Eisenkopf, Gerald, 2020. "Girls’ preferences for STEM and the effects of classroom gender composition: New evidence from a natural experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 102-123.
    12. Jiří Valecký, 2017. "Calculation of Solvency Capital Requirements for Non-life Underwriting Risk Using Generalized Linear Models," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(4), pages 450-466.
    13. Paul Hünermund & Dirk Czarnitzki, 2016. "Estimating the local average treatment effect of R&D subsidies in a pan-European program," Working Papers of Department of Management, Strategy and Innovation, Leuven 541177, KU Leuven, Faculty of Economics and Business (FEB), Department of Management, Strategy and Innovation, Leuven.
    14. Carslake, David & Fraser, Abigail & Davey Smith, George & May, Margaret & Palmer, Tom & Sterne, Jonathan & Silventoinen, Karri & Tynelius, Per & Lawlor, Debbie A. & Rasmussen, Finn, 2013. "Associations of mortality with own height using son's height as an instrumental variable," Economics & Human Biology, Elsevier, vol. 11(3), pages 351-359.
    15. Noori Akhtar-Danesh, 2015. "A Comparison of Modeling Scales in Flexible Parametric Models," 2015 Stata Conference 15, Stata Users Group.
    16. Prokop, Viktor & Gerstlberger, Wolfgang & Zapletal, David & Gyamfi, Solomon, 2023. "Do we need human capital heterogeneity for energy efficiency and innovativeness? Insights from European catching-up territories," Energy Policy, Elsevier, vol. 177(C).
    17. Daniela Balutel & Christopher Henry & Kim Huynh & Marcel Voia, 2022. "Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners," Staff Working Papers 22-26, Bank of Canada.
    18. Sauerbrei, W. & Meier-Hirmer, C. & Benner, A. & Royston, P., 2006. "Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3464-3485, August.
    19. Sauerbrei, Willi & Royston, Patrick & Zapien, Karina, 2007. "Detecting an interaction between treatment and a continuous covariate: A comparison of two approaches," Computational Statistics & Data Analysis, Elsevier, vol. 51(8), pages 4054-4063, May.
    20. William D. Dupont, 2010. "Review of Multivariable Model-building: A Pragmatic Approach to Regression Analysis Based on Fractional Polynomials for Modeling Continuous Variables, by Royston and Sauerbrei," Stata Journal, StataCorp LP, vol. 10(2), pages 297-302, June.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbjnl:v:12:y:2021:i:1:p:30. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.