Explaining color term typology with an evolutionary model
Explaining color term typology with an evolutionary model
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DOI：
10.1080/03640210709336986
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发表时间：
2007-01-01
影响因子：
2.5
通讯作者：
Dowman, Mike
中科院分区：
文献类型：
--
作者：
Dowman, Mike
本研究采用表达-归纳模型来模拟基本颜色词的演变，以验证柏林和凯（1969）的假设，即基本颜色词系统中观察到的类型模式是在普遍焦点颜色的特殊属性所产生的偏见的影响下，通过文化进化过程产生的。模拟了10个代理，每个代理都可以通过使用贝叶斯推理从示例中概括来学习颜色项表示，并且通用焦点红色，黄色，绿色和蓝色特别突出，但在感知颜色空间中间隔不均匀。这些代理人之间的对话，其中代理人将相互学习，模拟了几代人，并在每次模拟结束时出现的语言进行了研究。每种类型的颜色词的比例与世界颜色调查中发现的等效频率密切相关，大多数新兴语言可以被放置在Kay和Maffi（1999）提出的进化轨迹上。因此，模拟演示了如何类型模式可以出现作为学习偏见的结果，在一段时间内的行为。
An expression-induction model was used to simulate the evolution of basic color terms to test Berlin and Kay's (1969) hypothesis that the typological patterns observed in basic color term systems are produced by a process of cultural evolution under the influence of biases resulting from the special properties of universal focal colors. Ten agents were simulated, each of which could learn color term denotations by generalizing from examples using Bayesian inference, and for which universal focal red, yellow, green, and blue were especially salient, but unevenly spaced in the perceptual color space. Conversations between these agents, in which agents would learn from one another, were simulated over several generations, and the languages emerging at the end of each simulation were investigated. The proportion of color terms of each type correlated closely with the equivalent frequencies found in the World Color Survey, and most of the emergent languages could be placed on one of the evolutionary trajectories proposed by Kay and Maffi (1999). The simulation therefore demonstrates how typological patterns can emerge as a result of learning biases acting over a period of time.