Authors:
Shinichi Motomura
;
Takao Kawamura
;
Ryosuke Nakatani
and
Kazunori Sugahara
Affiliation:
Tottori University, Japan
Keyword(s):
P2P, e-Learning, Mobile Agent, Distributed hash table.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Distributed and Parallel Applications
;
Enterprise Information Systems
;
Intelligent Agents
;
Internet Technology
;
Web Information Systems and Technologies
Abstract:
In this paper, we present a novel framework for asynchronous Web-based training. 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, can tell the correct answers, and can show some extra information without human instruction. We also present a prototype implementation of the proposed system on Maglog. Maglog is a Prolog-based framework for building mobile multi-agent systems we have developed. The agent migrates using HTTP as transfer protocol and XML as encoding format itself. The user interface program of the proposed system is built on Squeak. Performance simulations demonstrate the effectiveness of the proposed system.