Abstract:

This paper highlights the Multi-Agent System of Knowledge Representation and Processing and its use in the educational process. The architecture of the Multi-Agent System of Knowledge Representation and Processing, the models of cognitive and reactive software agents are proposed. The algorithms of information exchange between software agents in virtual learning environment are described. The interaction diagram of software agents, the states and transitions diagram of multi-agent solver, the queries to the knowledge base and the results of their implementation are considered. Requests are processed using special methods: comparisons, associations and analysis, which calculate various relations on the set of events and their subjects, and also the specification method. The specification method uses fuzzy queries to the knowledge base, which allow to operate quality characteristics and fuzzy conditions. Multi-Agent System of Knowledge Representation and Processing provides solutions to the problems of personal-oriented learning with automatic selection of the most suitable training materials and interactive e-learning modules for the user. The results obtained demonstrate the expediency and effectiveness of using of the Multi-Agent System of Knowledge Representation and Processing in the educational process.

Keywords:

Multi-Agent Systems, Knowledge-Based Systems, Intelligent Software Agents, Fuzzy Systems, Adaptive Learning Systems.