2015
DOI: 10.3758/s13423-015-0986-1
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Capuchin monkeys (Cebus apella) treat small and large numbers of items similarly during a relative quantity judgment task

Abstract: A key issue in understanding the evolutionary and developmental emergence of numerical cognition is to learn what mechanism(s) support perception and representation of quantitative information. Two such systems have been proposed, one for dealing with approximate representation of sets of items across an extended numerical range and another for highly precise representation of only small numbers of items. Evidence for the first system is abundant across species and in many tests with human adults and children,… Show more

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Cited by 13 publications
(8 citation statements)
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“…Also, a similarity in the discrimination between quantities having the same ratio in the small and large numerical values, evidencing the numerical distance and size effect, are features that characterize the existence of the ANS. The finding of a similar discrimination sensitivity in the two numerical ranges has been reported in other animal species (DeLong, Barbato, O'Leary, & Wilcox, 2017;Irie-Sugimoto, Kobayashi, Sato, & Hasegawa, 2009; see also Beran & Parrish, 2016;Jones & Brannon, 2012), and a ratio effect found both in the small (as in the current study) and in the large number range (unlike the current study), supported the idea of one system (the ANS). Therefore, even though the pattern of discrimination exhibited by angelfish is, in some aspects, not fully consistent with the ANS, overall our results suggest that angelfish employed this system in the current study.…”
Section: Discussionsupporting
confidence: 91%
“…Also, a similarity in the discrimination between quantities having the same ratio in the small and large numerical values, evidencing the numerical distance and size effect, are features that characterize the existence of the ANS. The finding of a similar discrimination sensitivity in the two numerical ranges has been reported in other animal species (DeLong, Barbato, O'Leary, & Wilcox, 2017;Irie-Sugimoto, Kobayashi, Sato, & Hasegawa, 2009; see also Beran & Parrish, 2016;Jones & Brannon, 2012), and a ratio effect found both in the small (as in the current study) and in the large number range (unlike the current study), supported the idea of one system (the ANS). Therefore, even though the pattern of discrimination exhibited by angelfish is, in some aspects, not fully consistent with the ANS, overall our results suggest that angelfish employed this system in the current study.…”
Section: Discussionsupporting
confidence: 91%
“…These new monkeys had far less previous experience in cognitive and behavioral tests compared to the monkeys in the first three experiments. They had participated in only a few cognitive studies in our laboratory that involved different quantity judgments (Beran and Parrish, in press; Parrish, Agrillo, Perdue, and Beran, 2016; Parrish, Brosnan, and Beran, 2015a). One monkey (Mason) was trained on a touchscreen computer and had participated in several facial-recognition studies that involved discriminating conspecific faces (Pokorny & de Waal, 2009a, 2009b; Pokorny, Webb, & de Waal, 2011).…”
Section: 1 Experimentsmentioning
confidence: 99%
“…Many species are capable of numerical cognition: For example, great apes [e.g., Beran, McIntyre, Garland, & Evans, ; Boysen & Berntson, ; Call, ; Hanus & Call, ], old‐ and new‐world monkeys [e.g., Barnard et al, ; Beran, Evans, Leighty, Harris, & Rice, ; Beran & Parrish, ], elephants (Perdue, Talbot, Stone, & Beran, ), bears (Vonk & Beran, ), raccoons (Davis, ), dogs (Ward & Smuts, ), cats (Pisa & Agrillo, ), birds [e.g., Rugani, Cavazzana, Vallortigara, & Regolin, ], fish [e.g., Potrich, Sovrano, Stancher, & Vallortigara, ], and even insects [bees: Dacke & Srinivasan, ; ants: Reznikova & Ryabko, ] are able to compare quantities, suggesting that representing numerosity is an evolutionary ancient trait. The practical advantages of such a capacity are obvious: in the context of foraging, for example, comparing quantities is a highly useful tool to identify the most profitable feeding location [see e.g., Farnsworth & Smolinski, and Hunt, Low, & Burns, for field experiments on quantity discrimination in a foraging context].…”
Section: Introductionmentioning
confidence: 99%