Simulations of the Generalization Mechanism in Concepts Formation

摘要：

To explore some mechanisms of generalization in concept formation, we build a Three-layer neural network with feedback and Hebbian learning rules. Using binary sequences as input, we simulate the generalization process from multiple examples to a concept. After tens of training, the outputs of the network will converge to stable states which denote the formation of a concept. We suggest that generalization is a nonlinear emergence phenomenon generated by collective behavior of neurons and feedback between neurons is a necessary factor.

作者: Jiaxin Cui Jiawei Chen Qinghua Chen Fukang Fang

作者单位: Department of Systems Science, School of Management Beijing Normal University Beijing 100875, P.R.Ch Institute of Non-equilibrium Systems Beijing Normal University Beijing 100875, P.R.China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 333-335

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）