Systems-Science-Based Knowledge Model and networked intelligent agent cognitive isomorphic instruction model

摘要

Based on Systems-Science-Based Knowledge Model (SSBKM) this paper proposals the Network-based Artificial Intelligent Computer-Aided Instruction (NAICAI) that must manage to realize the following education characteristics and styles: to studying according to the each individualized pace and on one's demand, to teach according to students aptitude, to study primary by oneself at the same time collaboratively. Based on this demand further proposed methods realizing NAICAI of fuzzy reasoning, intelligently estimating, isomorphism approaching and fitting, a web-based intelligent cognition- isomorphism teaching mode. With regard to this here is then presented a new formalized knowledge representation based on SSBKM; and in practice developed and proposed a based on-SSBKM but streamlined representation of extended intelligent semantic network for fuzzy reasoning and intellectually estimating of isomorphic degree of knowledge structures between teachers and students; provided the algorithms for the isomorphism approaching and fitting teaching mode.