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  • 标题:Study Emergency in Spreading Activation Model by Modeling Path Finding Problems
  • 本地全文:下载
  • 作者:Xixu Fu ; Kaijun Wu ; Xizhang Gong
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2013
  • 卷号:6
  • 期号:4
  • 出版社:SERSC
  • 摘要:Spreading activation theory is an important theory for human reasoning. It is significant to study this theory for finding how human minds differ and superior to machines in many fields. To study process based spreading and activation, a process based model named SCO was set up according spreading activation theory in this paper. Emergency, efficiency and termination of spreading activation is carried out based on this model. To analyze the soaking process, the model was applied to several path finding problems. The result showed how spreading activation inspired methods superior to traditional searching methods in complicated tasks and muddy tasks
  • 关键词:spreading activation model; heterogeneous neural network; problem solving
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