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The Iterated Classification Game: A New Model of the Cultural Transmission of Language

机译：迭代分类博弈：语言文化传播的新模型

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摘要

The iterated classification game (ICG) combines the classification game with the iterated learning model (ILM) to create a more realistic model of the cultural transmission of language through generations. It includes both learning from parents and learning from peers. Further, it eliminates some of the chief criticisms of the ILM: that it does not study grounded languages, that it does not include peer learning, and that it builds in a bias for compositional languages. We show that, over the span of a few generations, a stable linguistic system emerges that can be acquired very quickly by each generation, is compositional, and helps the agents to solve the classification problem with which they are faced. The ICG also leads to a different interpretation of the language acquisition process. It suggests that the role of parents is to initialize the linguistic system of the child in such a way that subsequent interaction with peers results in rapid convergence to the correct language.
机译：迭代分类博弈（ICG）将分类博弈与迭代学习模型（ILM）结合在一起，创建了一种更真实的代际语言文化传播模型。它包括向父母学习和向同伴学习。此外，它消除了对ILM的一些主要批评：它不学习基础语言，不包括对等学习，并且它偏向于构成语言。我们证明，在几代人的跨度中，出现了稳定的语言系统，每一代人都可以非常快速地获得该语言系统，该系统是组成性的，并且可以帮助代理解决他们所面临的分类问题。 ICG还导致对语言习得过程的不同解释。这表明父母的角色是初始化孩子的语言系统，以使与同龄人的后续互动可以迅速融合为正确的语言。

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