期刊
PSYCHOLOGICAL SCIENCE
卷 28, 期 4, 页码 462-469出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/0956797616686862
关键词
numerosity; evolution; numerical cognition; animal cognition
资金
- National Science Foundation [DRL1459625]
- National Institutes of Health [R01 HD085996]
- James S. McDonnell Foundation Understanding Human Cognition Program
- Division Of Research On Learning
- Direct For Education and Human Resources [1459625] Funding Source: National Science Foundation
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 used data from wild baboons' troop movements recently reported by Strandburg-Peshkin, Farine, Couzin, and Crofoot (2015) to compare a variety of models of quantitative decision making. We found that the decisions made by these naturally behaving wild animals rely specifically on numerical representations that have key homologies with the psychophysics of human number representations. These findings provide important new data on the types of problems human numerical cognition was designed to solve and constitute the first robust evidence of true numerical reasoning in wild animals.
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