Asymmetries of Category-Based Induction: Models and Challenges *
Xunwei Sun, Peipeng Liang · 2013
Asymmetry is a typical mental phenomenon in category-based induction, i.e., exchange of premise category and conclusion category may lead to significantly different inductive strength. There are two kinds of cognitive models concerning asymmetry: similarity-based model and knowledge-based model. Similar- ity-based model includes similarity-coverage model (SCM), feature-based induction model (FBIM) and fea- ture transfer model (FTM). Knowledge-based model contains hypothesis assessment model (HAM), the relevance theory and Bayesian model. The current paper reviews these models and presents their merits and demerits, and the future research directions of asymmetry in category-based induction are further discussed.