Earticle

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Human Knowledge and Reasoning
 3. Spreading Activation Theory
 4. Model Spreading Activation in Neural Network
 5. Experiments and Results
  5.1. Problem1: Shortest Path between Two Vertexes
  5.2. Problem2: Shortest Circle Finding
  5.3. Problem 3：Shortest Convergent Vertexes
 6. Conclusion
 7. Discussion & Future Work
  7.1. About Heuristic and Convergence of Model
  7.2. Compare to Traditional Neural Network
  7.3. Consider Semantics and Memory Structure
 References

키워드

저자

• Xixu Fu [ Institute of Information Technology, Shanghai Ocean University ]
• Kaijun Wu [ Institute of Information Technology, Shanghai Ocean University ]
• Xizhang Gong [ Institute of Information Technology, Shanghai Ocean University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605