论文标题
信号游戏中同义词和同音函数的稳定性和演变
Stability and evolution of synonyms and homonyms in signaling game
论文作者
论文摘要
同义词和异义词以所有自然语言出现。我们在信号游戏框架内分析它们的演变。我们模型中的代理使用增强学习，其中选择通信单词或其解释的概率取决于与累积成功通信数量等于的权重。当概率随着权重线性增加时，同义词似乎非常稳定，并且异函数相对较快。这种行为似乎与语言观察相反。当概率增加的速度比用权重线性快时，可以获得更好的一致性。我们的结果可能表明，某些积极的反馈，即所谓的梅特卡夫定律，可能会推动一些语言过程。我们的模型中同义词和同音词的演变可以使用某个非线性urn模型近似描述。
Synonyms and homonyms appear in all natural languages. We analyse their evolution within the framework of the signaling game. Agents in our model use reinforcement learning, where probabilities of selection of a communicated word or of its interpretation depend on weights equal to the number of accumulated successful communications. When the probabilities increase linearly with weights, synonyms appear to be very stable and homonyms decline relatively fast. Such behaviour seems to be at odds with linguistic observations. A better agreement is obtained when probabilities increase faster than linearly with weights. Our results may suggest that a certain positive feedback, the so-called Metcalfe's Law, possibly drives some linguistic processes. Evolution of synonyms and homonyms in our model can be approximately described using a certain nonlinear urn model.
