Evolutionary and developmental foundations of human knowledge: a case study of mathematics (2004)
| Venue: | In M. Gazzaniga (Ed.), The cognitive neurosciences |
| Citations: | 11 - 2 self |
BibTeX
@INPROCEEDINGS{Hauser04evolutionaryand,
author = {Marc D. Hauser and Elizabeth Spelke},
title = {Evolutionary and developmental foundations of human knowledge: a case study of mathematics},
booktitle = {In M. Gazzaniga (Ed.), The cognitive neurosciences},
year = {2004},
pages = {853--864},
publisher = {MIT Press}
}
OpenURL
Abstract
What are the brain and cognitive systems that allow humans to play baseball, compute square roots, cook soufflés, or navigate the Tokyo subways? It may seem that studies of human infants and of non-human animals will tell us little about these abilities, because only educated, enculturated human adults engage in organized games, formal mathematics, gourmet cooking, or map-reading. In this chapter, we argue against this seemingly sensible conclusion. When human adults exhibit complex, uniquely human, culture-specific skills, they draw on a set of psychological and neural mechanisms with two distinctive properties: they evolved before humanity and thus are shared with other animals, and they emerge early in human development and thus are common to infants, children, and adults. These core knowledge systems form the building blocks for uniquely human skills. Without them we wouldn’t be able to learn about different kinds of games, mathematics, cooking, or maps. To understand what is special about human intelligence, therefore, we must study both the core knowledge systems on which it rests and the mechanisms by which these systems are orchestrated to permit new kinds of concepts and cognitive processes. What is core knowledge? A wealth of research on non-human primates and on human







