True Numerical Cognition in the Wild.
True Numerical Cognition in the Wild.
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DOI：
10.1177/0956797616686862
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发表时间：
2017-04
影响因子：
8.2
通讯作者：
Cantlon JF
中科院分区：
文献类型：
--
作者：
Piantadosi ST;Cantlon JF
在过去的几十年里，认知和神经研究已经产生了人类和其他动物数字推理的复杂模型和算法。这些模型对人类和其他动物在面对定量决策时的行为做出了精确的预测，但主要只在实验室任务中进行了测试。我们使用的数据从野生狒狒部队的运动最近报道，比较各种已知的定量决策模型。我们表明，这些自然行为的野生动物所做的决定，特别依赖于数字表示，与人类的数字表示和心理物理学的关键同源性。这些发现为人类数字认知旨在解决的问题类型提供了重要的新数据，并代表了野外真正数字推理的第一个强大证据。
Cognitive and neural research over the past few decades has produced sophisticated models of the representations and algorithms underlying numerical reasoning in humans and other animals. These models make precise predictions for how humans and other animals should behave when faced with quantitative decisions, yet primarily have been tested only in laboratory tasks. We use data from wild baboon troop movements recently reported in to compare a variety of known models of quantitative decision making. We show that the decisions made by these naturally-behaving wild animals rely specifically on numerical representations, with key homologies to human numerical representations and psychophysics. These findings provide important new data on the types of problems human numerical cognition was designed to solve and represent the first robust evidence of true numerical reasoning in the wild.