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A Cognitive Model of Concept Learning with a Flexible Internal Representation System.
- Source :
- Advances in Neural Networks: ISNN 2007 (9783540723820); 2007, p1135-1143, 9p
- Publication Year :
- 2007
-
Abstract
- In the human mind, high-order knowledge is categorically organized, yet the nature of its internal representation system is not well understood. While it has been traditionally considered that there is a single innate representation system in our mind, recent studies suggest that the representational system is a dynamic, capable of adjusting a representation scheme to meet situational characteristics. In the present paper, we introduce a new cognitive modeling framework accounting for the flexibility in representing high-order category knowledge. Our modeling framework flexibly learns to adjust its internal knowledge representation scheme using a meta-heuristic optimization method. It also accounts for the multi-objective and the multi-notion natures of human learning, both of which are indicated as very important but often overlooked characteristics of human cognition. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540723820
- Database :
- Complementary Index
- Journal :
- Advances in Neural Networks: ISNN 2007 (9783540723820)
- Publication Type :
- Book
- Accession number :
- 33176524
- Full Text :
- https://doi.org/10.1007/978-3-540-72383-7_133