Food and token quantity discrimination in capuchin monkeys (Cebus apella)

Food and token quantity discrimination in capuchin monkeys (Cebus apella)
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DOI:
10.1007/s10071-007-0111-6
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发表时间:
2008-04-01
期刊:
影响因子:
2.7
通讯作者:
Visalberghi, Elisabetta
Visalberghi, Elisabetta
中科院分区:
生物学2区
文献类型:
--
作者:
Addessi, Elsa;Crescimbene, Lara;Visalberghi, Elisabetta

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数量歧视是适应在各种生态环境和不同类群歧视刺激不同的数量,无论是在野外和实验室环境。物体阵列之间的数量区分被认为比食物阵列之间的数量区分要求更高,但据我们所知,从未使用过相同的范式来直接比较它们。本文研究了卷尾猴对食物和代币的相对数量判断(RNJs)的相似程度。代币本质上是无价值的对象,在与实验者交换时获得关联值。我们的目的是(1)评估卷尾猴的RNJ与食物(实验1)和令牌(实验2)之间的所有可能的成对选择1至5个项目,(2)评估两个提出的非语言机制的数量歧视(模拟大小和对象文件系统)卷尾猴依赖。在这两种情况下,卷尾猴可靠地选择了大量的物品,尽管它们在食物上的表现要高于代币。阵列之间的比率对性能的影响表明,卷尾猴依赖于相同的系统的数字表示,即模拟幅度,无论刺激的类型(食物或令牌),并在小和大的数字范围。
Quantity discrimination is adaptive in a variety of ecological contexts and different taxa discriminate stimuli differing in numerousness, both in the wild and in laboratory settings. Quantity discrimination between object arrays has been suggested to be more demanding than between food arrays but, to our knowledge, the same paradigm has never been used to directly compare them. We investigated to what extent capuchin monkeys' relative numerousness judgments (RNJs) with food and token are alike. Tokens are inherently non-valuable objects that acquire an associative value upon exchange with the experimenter. Our aims were (1) to assess capuchins' RNJs with food (Experiment 1) and with tokens (Experiment 2) by presenting all the possible pair-wise choices between one to five items, and (2) to evaluate on which of the two proposed non-verbal mechanisms underlying quantity discrimination (analogue magnitude and object file system) capuchins relied upon. In both conditions capuchins reliably selected the larger amount of items, although their performance was higher with food than with tokens. The influence of the ratio between arrays on performance indicates that capuchins relied on the same system for numerical representation, namely analogue magnitude, regardless of the type of stimuli (food or tokens) and across both the small and large number ranges.