The Comparison of Inductive Reasoning under Risk Conditions between Chinese and Japanese Based on Computational Models: toward the Application to Cae for Foreign Language

Inductive reasoning under risk conditions is an important thinking process not only for sciences but also in our daily life. From this viewpoint, it is very useful for language learning to construct computational models of inductive reasoning which realize the CAE for foreign languages. This study proposes the comparison of inductive reasoning under risk conditions between Chinese and Japanese based on computational models. The results suggest that risk conditions (quantitative conditions) have a significant effect on inductive reasoning in Japanese, while those conditions have no effect in Chinese. On the contrary, argument conditions (qualitative conditions) have a significant effect on inductive reasoning in Chinese, while those conditions have an only partial effect in Japanese. More research is needed to find the essential reason for this contrast, for example differences between cultural or social systems. However, it is important to consider this contrast when the present models of inductive reasoning are applied to CAE for Chinese and Japanese.