特集-新しい計算論が切り拓く認知科学の展開
人と機械の言語獲得
2017 年 24 巻 1 号 p. 16-22
詳細
2017 年 24 巻 1 号 p. 16-22
Despite recent artificial intelligence technologies achieved prominent results, machines
cannot behave like humans yet. I compare the ability of humans’ language acquisition
with natural language processing by machine learning technologies, taking learning of
word embedding vectors as an example. And I introduce some notable researches which
may fill in the gap, one-shot learnig, memory models and language game tasks. Al-
though these researches have just begun, it will be important for artificial intelligence
to aquire human intelligence.
