Literature DB >> 32521244

The Adaptive Value of Numerical Competence.

Andreas Nieder1.   

Abstract

Evolution selects for traits that are of adaptive value and increase the fitness of an individual or population. Numerical competence, the ability to estimate and process the number of objects and events, is a cognitive capacity that also influences an individual's survival and reproduction success. Numerical assessments are ubiquitous in a broad range of ecological contexts. Animals benefit from numerical competence during foraging, navigating, hunting, predation avoidance, social interactions, and reproductive activities. The internal number representations determine how animals perceive stimulus magnitude, which, in turn, constrains an animal's spontaneous decisions. These findings are placed in a framework to provide for a more quantitative analysis of the adaptive value and selection pressures of numerical competence.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Keywords:  Weber-Fechner law; animal cognition; number; proportional processing; quantity; ultimate causes

Year:  2020        PMID: 32521244     DOI: 10.1016/j.tree.2020.02.009

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  14 in total

1.  Assessing the performance of brushtail possums (Trichosurus vulpecula) on the Mechner counting procedure.

Authors:  Katrina H Clarke; James S McEwan; Kristie E Cameron; Lewis A Bizo
Journal:  Anim Cogn       Date:  2022-05-07       Impact factor: 3.084

2.  Count-based decision-making in mice: numerosity vs. stimulus control.

Authors:  Pınar Toptaş; Ezgi Gür; Fuat Balcı
Journal:  Anim Cogn       Date:  2022-07-17       Impact factor: 2.899

3.  Giraffes go for more: a quantity discrimination study in giraffes (Giraffa camelopardalis).

Authors:  Montserrat Colell; Federica Amici; Alvaro L Caicoya; Ruben Holland; Conrad Ensenyat
Journal:  Anim Cogn       Date:  2020-10-30       Impact factor: 3.084

4.  Efficient sampling and noisy decisions.

Authors:  Joseph A Heng; Michael Woodford; Rafael Polania
Journal:  Elife       Date:  2020-09-15       Impact factor: 8.140

5.  Professional mathematicians do not differ from others in the symbolic numerical distance and size effects.

Authors:  Mateusz Hohol; Klaus Willmes; Edward Nęcka; Bartosz Brożek; Hans-Christoph Nuerk; Krzysztof Cipora
Journal:  Sci Rep       Date:  2020-07-13       Impact factor: 4.379

6.  Archerfish number discrimination.

Authors:  Davide Potrich; Mirko Zanon; Giorgio Vallortigara
Journal:  Elife       Date:  2022-01-10       Impact factor: 8.140

7.  The cultural origins of symbolic number.

Authors:  David M O'Shaughnessy; Edward Gibson; Steven T Piantadosi
Journal:  Psychol Rev       Date:  2021-06-17       Impact factor: 8.934

Review 8.  Numerosities and Other Magnitudes in the Brains: A Comparative View.

Authors:  Elena Lorenzi; Matilde Perrino; Giorgio Vallortigara
Journal:  Front Psychol       Date:  2021-04-15

9.  Response of male and female domestic chicks to change in the number (quantity) of imprinting objects.

Authors:  Bastien S Lemaire; Rosa Rugani; Lucia Regolin; Giorgio Vallortigara
Journal:  Learn Behav       Date:  2020-10-06       Impact factor: 1.986

10.  The evolution of quantitative sensitivity.

Authors:  Margaret A H Bryer; Sarah E Koopman; Jessica F Cantlon; Steven T Piantadosi; Evan L MacLean; Joseph M Baker; Michael J Beran; Sarah M Jones; Kerry E Jordan; Salif Mahamane; Andreas Nieder; Bonnie M Perdue; Friederike Range; Jeffrey R Stevens; Masaki Tomonaga; Dorottya J Ujfalussy; Jennifer Vonk
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-12-27       Impact factor: 6.671

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