Investigation of human cognitive processes in category learning by empirical and computational modeling studies

在本研究中，我们发现，在类别学习中获得的知识在很大程度上依赖于每个人的学习目标。我们还展示了一个类别可以不止一种方式在内部表示。计算机模拟的结果表明，多重表征系统和情境自适应学习行为使得人类的范畴，或者更广泛地说，知识的使用在不确定的世界中非常灵活和适应。

In the present research, we showed that acquired knowledge in category learning is heavily dependent on each individual's objectives of learning. We also showed that a category can be internally represented in more than a single way. The results of computer simulations suggested that the multiple representation system and situation-adaptive learning behaviors make the category, or more generally, knowledge usage in human very flexible and adaptive in the uncertain world.