A MOBILE AGENT-BASED P2P E-LEARNING SYSTEM

In this paper, we present a novel framework for asynchronous WBT. The proposed system has two distinguishing features. Firstly, it is based on P2P architecture for scalability and robustness. Secondly, all contents in the system are not only data but also agents so that they can mark user’s answers, tell the correct answers, and show some extra information without human instruction. We also present a prototype implementation of the proposed system on Maglog that is a Prolog-based framework for building mobile multi-agent systems we have developed. Performance simulations demonstrate the effectiveness of the proposed system.

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