人类语言的去中心化图基方法中的相变
Phase transitions in a decentralized graph-based approach to human language
摘要：
Zipf定律建立了大文本语料库中词频的缩放行为。Zipfian属性在人类语言中的出现以前被解释为说话者和听话者利益的优化问题。另一方面，类似人类的词汇表可以被视为二分图。这里的目的是双重的：在一个二分图的方法来人类词汇，提出了一个分散的语言游戏模型的Zipfian属性的形成。要做到这一点，我们定义了一个语言游戏，在其中的人工代理的人口参与理想化的语言交互。数值模拟表明，出现了一个相变，从一个最初的无序状态到三个可能的语言形成阶段。我们的研究结果表明，Zipfian属性在语言中似乎部分来自分散的语言之间的相互作用，赋予二分词的含义映射。
英文摘要：
Zipf's law establishes a scaling behavior for word-frequencies in large text corpora. The appearance of Zipfian properties in human language has been previously explained as an optimization problem for the interests of speakers and hearers. On the other hand, human-like vocabularies can be viewed as bipartite graphs. The aim here is double: within a bipartite-graph approach to human vocabularies, to propose a decentralized language game model for the formation of Zipfian properties. To do this, we define a language game, in which a population of artificial agents is involved in idealized linguistic interactions. Numerical simulations show the appearance of a phase transition from an initially disordered state to three possible phases for language formation. Our results suggest that Zipfian properties in language seem to arise partly from decentralized linguistic interactions between agents endowed with bipartite word-meaning mappings.
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