Modeling the acquisition process of bird song grammars based on computational learning theory

鸣禽作为一种研究鸣禽复杂的大脑鸣叫学习机制的良好模型，一直受到人们的积极研究。雄性孟加拉雀通过模仿外部模型来学习唱歌。鸟鸣是一串由字母序列表示的声音。采用计算方法实现了从给定音素数据中自动提取歌曲语法的系统，并利用该系统建立了歌曲语法发展过程模型，并用实际数据验证了该模型的有效性。我们的实验结果表明，这种行为序列实验对于发现新知识很重要。

Songbird has been actively studied as a good model for their complex brain mechanism in song learning. Male Bengalese Finch learns singing by imitating external models. Birdsongs are strings of sounds as represented by sequence of alphabets. We implemented an automatic system which extracts a song grammar from a given phoneme data by using computational method, and use it to build a model of development processes of song grammars whose validity was checked by real data. Our experimental results suggest such kind of experiment on behavioral sequence is important to discover new knowledge.