Modeling a flexible representation machinery of human concept learning

dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of how categories are internally represented in our mind. Traditionally, it has been considered that there is a single innate internal representation system for categorical knowledge, such as Exemplars, Prototypes, or Rules. However, results of recent empirical and computational studies collectively suggest that the human internal representation system is apparently capable of exhibiting behaviors consistent with various types of internal representation schemes. We, then, hypothesized that humans' representational system as a dynamic mechanism, capable of selecting a representation scheme that meets situational characteristics, including complexities of category structure. The present paper introduces a framework for a cognitive model that integrates robust and flexible internal representation machinery. Thre...

• Type: Journal
• Year: 2008
• Where: NN
• Authors: Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouchourelou
• Keywords: Human Internal Representation, Internal Representation, Neural Networks, NN 2008, Representation Scheme