A Knowledge Base Construction Method Based on Cognitive Model

Abstract

In order to solve the problem of the knowledge base construction for a living expert system to adapt the changeable world, a set of method based on the cognitive model include the knowledge acquisition, representation, storage in organization, updating and reasoning conveniently is presented. Simulating the learning procedure of human beings is the core idea of this method from which we can find the ways how to add, delete, amend and use the knowledge in an expert system. Based on the analysis of the common procedure of children’s actions during recognizing the world, a cognitive model of concept learning is abstracted. A general concept learning algorithm, a knowledge representation method based on general rules, a logical structure in the forest shape, and a uniform data structure for storage are accordingly presented. Thus, a complete and more scientific management case for the knowledge base of expert system is provided. At last, comparing with some ontology knowledge bases, three different characteristics of this construction method are discussed.