Integration of BDI agent with Fuzzy Logic in a Virtual Learning Environment

This research proposes and develops a framework that integrates the Belief-Desire-Intention (BDI) agent architecture to Fuzzy Logic (LF). The result of this integration is the development of a module, built in the specification of the proposed framework, which is able to follow the process of student learning through the analysis of his performance in Virtual Learning Environment (VLE). This framework is composed of four agents: student, evaluation, learning activities and monitoring. The student agent is a BDI agent, which has beliefs modeled by the fuzzy set theory. The other agents are reactive agents. The learning activities and evaluation agents collect data from the environment and exchange information with the student agent. This agent processes the data and determines the appropriate educational stimulus according to the student model. Following, the monitoring agent is triggered to perform the given pedagogical action. This architecture was implemented in a VLE that is used by graduate students at UFSC. The programming languages PHP, Perl and C, and the MySQL database were used in this work.