A Multiagent Platform for Educational Resources Retrieval driven by Cultural Aspects

In this work we propose a multiagent architecture for web educational resources retrieval that helps users to find courses according to their personal and cultural aspects. Cultural aspects are preferences and ways of behavior determined by the person’s culture. In this work, the cultural aspects are just the features that distinguish between the preferences of users from different regions. This multiagent platform includes several kinds of agents with different functionalities. We particularly model the Educational Resources Finder Agent as a Graded BDI Agent, which is in charge of a flexible retrieval of the best courses according to the student profile. We outline the overall multiagent system and present an example illustrating the searching process.