Syntax out of Learning: The Cultural Evolution of Structured Communication in a Population of Induction Algorithms
Syntax out of Learning: The Cultural Evolution of Structured Communication in a Population of Induction Algorithms
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学习中的语法：归纳算法群体中结构化通信的文化演化
DOI：
10.1007/3-540-48304-7_91
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
S. Kirby
中科院分区：
文献类型：
--
作者：
S. Kirby
本文提出了一种新的研究人类语言句法起源的方法。使用计算模型的学习者的人口，它表明，组成，递归映射是不可避免的语言传输的文化过程的最终状态。即使起始状态根本不是语言，也是如此。语言知识通过学习瓶颈传递的方式深刻地影响着它的涌现结构。这种方法提供了一个激进的替代方案，而不是将语言结构视为对交际压力的先天生物适应。
A new approach to the origins of syntax in human language is presented. Using computational models of populations of learners, it is shown that compositional, recursive mappings are inevitable end-states of a cultural process of linguistic transmission. This is true even if the starting state is no language at all. It is argued that the way that knowledge of language is transmitted through a learning bottleneck profoundly influences its emergent structure. This approach provides a radical alternative to one in which the structure of language is viewed as an innate, biological adaptation to communicative pressures.1