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A Social Approach to Rule Dynamics Using an Agent-Based Model

机译:一种基于代理模型的规则动态化社会方法

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A well-trod debate at the nexus of cognitive science and linguistics, the so-called past tense debate, has examined how rules and exceptions are individually acquired (McClelland & Patterson, ; Pinker & Ullman, ). However, this debate focuses primarily on individual mechanisms in learning, saying little about how rules and exceptions function from a sociolinguistic perspective. To remedy this, we use agent-based models to examine how rules and exceptions function across populations. We expand on earlier work by considering how repeated interaction and cultural transmission across speakers affects the dynamics of rules and exceptions in language, measuring linguistic outcomes within a social system rather than focusing individual learning outcomes. We consider how population turnover and growth effect linguistic rule dynamics in large and small populations, showing that this method has considerable potential particularly in probing the mechanisms underlying the linguistic niche hypothesis (Lupyan & Dale, ).
机译:认知科学和语言学之间的一次备受争议的辩论,即所谓的过去式辩论,探讨了如何分别获得规则和例外(McClelland&Patterson,; Pinker&Ullman,)。然而,这场辩论主要集中在学习的个体机制上,很少从社会语言学角度谈论规则和例外的运作方式。为了解决这个问题,我们使用基于代理的模型来检查规则和例外如何在总体中起作用。我们在前期工作的基础上,通过考虑说话者之间反复的互动和文化交流如何影响语言规则和例外的动态,衡量社会系统内的语言结果,而不是着重于个人的学习结果,来进行扩展。我们考虑了人口流动和增长如何影响大大小小的人口的语言规则动态,这表明该方法具有相当大的潜力,尤其是在探索潜在的语言利基假说的机制时(Lupyan&Dale,)。

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