著者

張 寓杰 寺井 あすか 董 媛 王 月 中川 正宣

出版者

Japanese Cognitive Science Society

雑誌

認知科学 (ISSN:13417924)

巻号頁・発行日

vol.20, no.4, pp.439-469, 2013

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This study, at first, constructs a computational model of inductive reasoning based<br> on the probabilistic concept structure estimated by the statistical analysis of large scale<br> Chinese language data. In order to examine the efficiency of the model, which has al-<br>ready been certified about the Japanese language (Sakamoto & Nakagawa 2008, 2010),<br>the study verifies the validity of the model using the psychological experiment. The<br> new computational model of inductive reasoning is constructed based on the statistical<br> analysis of extended Japanese language data, including not only the news paper articles<br> but also literature. The validity of the model is then verified using the psychological<br> experiment.<br> Furthermore, from the comparison between simulation results of both models, the<br> study examines the hypothesis that the inductive reasoning process does not necessar-<br>ily depend on the individual language system. Finally, through the detailed comparison<br> between the results of both models, the commonality and difference between both cul-<br>tures and social systems hidden in the back of both languages is discussed.