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  1. Numerosities are not ersatz numbers.Catarina Dutilh Novaes & César Frederico dos Santos - 2021 - Behavioral and Brain Sciences 44.
    In describing numerosity as “a kind of ersatz number,” Clarke and Beck fail to consider a familiar and compelling definition of numerosity, which conceptualizes numerosity as the cognitive counterpart of the mathematical concept of cardinality; numerosity is the magnitude, whereas number is a scale through which numerosity/cardinality is measured. We argue that these distinctions should be considered.
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  • The number sense represents (rational) numbers.Sam Clarke & Jacob Beck - 2021 - Behavioral and Brain Sciences 44:1-57.
    On a now orthodox view, humans and many other animals possess a “number sense,” or approximate number system, that represents number. Recently, this orthodox view has been subject to numerous critiques that question whether the ANS genuinely represents number. We distinguish three lines of critique – the arguments from congruency, confounds, and imprecision – and show that none succeed. We then provide positive reasons to think that the ANS genuinely represents numbers, and not just non-numerical confounds or exotic substitutes for (...)
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  • What? Now. Predictive Coding and Enculturation.Richard Menary - 2015 - In Thomas Metzinger & Jennifer Windt (eds.), Open MIND. MIND group.
    Regina Fabry has proposed an intriguing marriage of enculturated cognition and predictive processing. I raise some questions for whether this marriage will work and warn against expecting too much from the predictive processing framework. Furthermore I argue that the predictive processes at a sub-personal level cannot be driving the innovations at a social level that lead to enculturated cognitive systems, like those explored in my target paper.
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  • From “sense of number” to “sense of magnitude”: The role of continuous magnitudes in numerical cognition.Tali Leibovich, Naama Katzin, Maayan Harel & Avishai Henik - 2017 - Behavioral and Brain Sciences 40.
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  • Numerical cognition and mathematical realism.Helen De Cruz - 2016 - Philosophers' Imprint 16.
    Humans and other animals have an evolved ability to detect discrete magnitudes in their environment. Does this observation support evolutionary debunking arguments against mathematical realism, as has been recently argued by Clarke-Doane, or does it bolster mathematical realism, as authors such as Joyce and Sinnott-Armstrong have assumed? To find out, we need to pay closer attention to the features of evolved numerical cognition. I provide a detailed examination of the functional properties of evolved numerical cognition, and propose that they prima (...)
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  • In search of $$\aleph _{0}$$ ℵ 0 : how infinity can be created.Markus Pantsar - 2015 - Synthese 192 (8):2489-2511.
    In this paper I develop a philosophical account of actual mathematical infinity that does not demand ontologically or epistemologically problematic assumptions. The account is based on a simple metaphor in which we think of indefinitely continuing processes as defining objects. It is shown that such a metaphor is valid in terms of mathematical practice, as well as in line with empirical data on arithmetical cognition.
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  • Foundations of Set Theory.A. A. Fraenkel, Y. Bar Hillel & A. Levy - 1975 - British Journal for the Philosophy of Science 26 (2):165-170.
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  • Number as a cognitive technology: Evidence from Pirahã language and cognition.Michael C. Frank, Daniel L. Everett, Evelina Fedorenko & Edward Gibson - 2008 - Cognition 108 (3):819-824.
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  • Quantity Recognition Among Speakers of an Anumeric Language.Caleb Everett & Keren Madora - 2012 - Cognitive Science 36 (1):130-141.
    Recent research has suggested that the Pirahã, an Amazonian tribe with a number-less language, are able to match quantities > 3 if the matching task does not require recall or spatial transposition. This finding contravenes previous work among the Pirahã. In this study, we re-tested the Pirahãs’ performance in the crucial one-to-one matching task utilized in the two previous studies on their numerical cognition, as well as in control tasks requiring recall and mental transposition. We also conducted a novel quantity (...)
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  • Extrinsic properties.David Lewis - 1983 - Philosophical Studies 44 (2):197-200.
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  • The representations of the approximate number system.Stefan Buijsman - 2021 - Philosophical Psychology 34 (2):300-317.
    The Approximate Number System (ANS) is a system that allows us to distinguish between collections based on the number of items, though only if the ratio between numbers is high enough. One of the questions that has been raised is what the representations involved in this system represent. I point to two important constraints for any account: (a) it doesn’t involve numbers, and (b) it can account for the approximate nature of the ANS. Furthermore, I argue that representations of pure (...)
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  • Elements of Set Theory.Herbert B. Enderton - 1981 - Journal of Symbolic Logic 46 (1):164-165.
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  • The Number Sense: How the Mind Creates Mathematics.Stanislas Dehaene - 1999 - British Journal of Educational Studies 47 (2):201-203.
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  • Core systems of number.Stanislas Dehaene, Elizabeth Spelke & Lisa Feigenson - 2004 - Trends in Cognitive Sciences 8 (7):307-314.
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  • Two roads to the successor axiom.Stefan Buijsman - 2020 - Synthese 197 (3):1241-1261.
    Most accounts of our knowledge of the successor axiom claim that this is based on the procedure of adding one. While they usually don’t claim to provide an account of how children actually acquire this knowledge, one may well think that this is how they get that knowledge. I argue that when we look at children’s responses in interviews, the time when they learn the successor axiom and the intermediate learning stages they find themselves in, that there is an empirically (...)
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  • From Single-Cell Neuropathology to Mathematics Education.Roi Cohen Kadosh - 2015 - In Roi Cohen Kadosh & Ann Dowker (eds.), The Oxford Handbook of Numerical Cognition. Oxford University Press UK.
    One of the most productive research directions in numerical cognition is its combination with neuroscience. This navigator aims to provide the current outlook to this exciting line of studies, together with future directions. I will cover here studies from single-cell neurophysiology in monkeys, to non-invasive neuroimaging studies in children and adults, and will end by discussing a particularly exciting application of neuroscience to education.
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  • To honor Davis & Pérusse and repeal their glossary of processes of numerical competence.Roger K. Thomas - 1988 - Behavioral and Brain Sciences 11 (4):600-600.
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  • Numerical competence in animals: Definitional issues, current evidence, and a new research agenda.Hank Davis & Rachelle Pérusse - 1988 - Behavioral and Brain Sciences 11 (4):561-579.
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  • Monkey Mathematical Abilities.Theodore A. Evans, Bonnie M. Perdue & Michael J. Beran - 2015 - In Roi Cohen Kadosh & Ann Dowker (eds.), The Oxford Handbook of Numerical Cognition. Oxford University Press UK.
    Monkeys are mathematicians, albeit imprecise ones. Comparative research has illustrated that monkeys use quantitative and numerical information, and this chapter outlines many of those findings. We begin with an historical summary of work with primates in assessing the role that number plays in these animals’ lives. We then focus on the question of whether primates can count and can use symbols to represent numerical information. Evidence for counting is limited, but they can make judgments of ordered magnitudes, and they can (...)
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  • Adaptation to number operates on perceived rather than physical numerosity.M. Fornaciai, G. M. Cicchini & D. C. Burr - 2016 - Cognition 151 (C):63-67.
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  • Calibrating the mental number line.Véronique Izard & Stanislas Dehaene - 2008 - Cognition 106 (3):1221-1247.
    Human adults are thought to possess two dissociable systems to represent numbers: an approximate quantity system akin to a mental number line, and a verbal system capable of representing numbers exactly. Here, we study the interface between these two systems using an estimation task. Observers were asked to estimate the approximate numerosity of dot arrays. We show that, in the absence of calibration, estimates are largely inaccurate: responses increase monotonically with numerosity, but underestimate the actual numerosity. However, insertion of a (...)
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  • The cerebral, extra-cerebral bodily, and socio-cultural dimensions of enculturated arithmetical cognition.Regina E. Fabry - 2020 - Synthese 197 (9):3685-3720.
    Arithmetical cognition is the result of enculturation. On a personal level of analysis, enculturation is a process of structured cultural learning that leads to the acquisition of evolutionarily recent, socio-culturally shaped arithmetical practices. On a sub-personal level, enculturation is realized by learning driven plasticity and learning driven bodily adaptability, which leads to the emergence of new neural circuitry and bodily action patterns. While learning driven plasticity in the case of arithmetical practices is not consistent with modularist theories of mental architecture, (...)
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  • Varieties of numerical abilities.Stanislas Dehaene - 1992 - Cognition 44 (1-2):1-42.
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  • The conceptual basis of numerical abilities: One-to-one correspondence versus the successor relation.Lieven Decock - 2008 - Philosophical Psychology 21 (4):459 – 473.
    In recent years, neologicists have demonstrated that Hume's principle, based on the one-to-one correspondence relation, suffices to construct the natural numbers. This formal work is shown to be relevant for empirical research on mathematical cognition. I give a hypothetical account of how nonnumerate societies may acquire arithmetical knowledge on the basis of the one-to-one correspondence relation only, whereby the acquisition of number concepts need not rely on enumeration (the stable-order principle). The existing empirical data on the role of the one-to-one (...)
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