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