An intelligent integration method of AI English teaching resources information under multi-agent cooperation

Abstract

The traditional integration method has low integration accuracy and long integration time. AI English teaching resource information intelligent integration method, a multi-agent collaborative algorithm for intelligent integration of intelligent English teaching resources is proposed. Based on observation results of user implicit feedback, a user interest model is constructed. The interest model is formulated into a vector set composed of multiple vectors. The weight of the ontology is estimated by number of re-entry, content, behaviour, object and time, and the bias strength of the user ontology for a certain field is obtained. An information intelligent integration model under the cooperation of multi-agents is constructed. Thus, AI English teaching resources can be intelligently integrated. The simulation results show that the integration accuracy of AI English teaching resource information can reach 100% and the integration time can be shortened to 3S under the cooperation of multi-agents, thus delivering good integration effect and high efficiency.