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A Big-Neuron Based Expert System

  • Tao Li
  • Hongbin Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4113)

Abstract

With a new way of knowledge representation and acquirement, inference, and building an expert system based on big-neurons composed of different field expert knowledge presented in this paper, the fundamental theory and architecture of expert system based upon big-neuron theory has thus been built. It is unnecessary to organize a large number of production rules when using big-neurons to build an expert system. The facts and rules of an expert system have already been hidden in big-neurons. And also, it is unnecessary to do a great quantity of tree searching when using this method to do logic reasoning. Machine can do self-organizing and self-learning.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tao Li
    • 1
  • Hongbin Li
    • 2
  1. 1.Department of Computer ScienceSichuan UniversityChengduChina
  2. 2.Department of Electrical and Computer EngineeringStevens Institute of TechnologyHobokenUSA

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