Computational and evolutionary aspects of language

被引:233
作者
Nowak, MA
Komarova, NL
Niyogi, P
机构
[1] Inst Adv Study, Princeton, NJ 08540 USA
[2] Univ Leeds, Dept Math, Leeds LS2 9JT, W Yorkshire, England
[3] Univ Chicago, Dept Comp Sci, Chicago, IL 60637 USA
基金
美国国家科学基金会;
关键词
D O I
10.1038/nature00771
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Language is our legacy. It is the main evolutionary contribution of humans, and perhaps the most interesting trait that has emerged in the past 500 million years. Understanding how darwinian evolution gives rise to human language requires the integration of formal language theory, learning theory and evolutionary dynamics. Formal language theory provides a mathematical description of language and grammar. Learning theory formalizes the task of language acquisition-it can be shown that no procedure can learn an unrestricted set of languages. Universal grammar specifies the restricted set of languages learnable by the human brain. Evolutionary dynamics can be formulated to describe the cultural evolution of language and the biological evolution of universal grammar.
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页码:611 / 617
页数:7
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