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

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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.