Brain Meets Brawn: Why Grid and Agents Need Each Other
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Designing Virtual Spaces to Support Learning Communities and e-Collaboration
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
A Service Oriented Architecture Framework for Collaborative Services
WETICE '05 Proceedings of the 14th IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprise
Dynamic Grid tasks composition and distribution through agents: Research Articles
Concurrency and Computation: Practice & Experience - First International Workshop on Emerging Technologies for Next-generation GRID (ETNGRID 2004)
A semantic grid-based e-learning framework (SELF)
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid - Volume 01
APPLE: a novel P2P based e-learning environment
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
Automatic composition of Learning Grid Portlets: a comparison of syntactic and semantic approaches
International Journal of Grid and Utility Computing
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This paper proposes an Agent-based Collaborative Virtual Environ-ment (ACVE) architecture using grid technologies. In this virtual environment, all e-learning resources and web services are bound via service encapsulation, and a special collaboration service layer undertakes the robust collaborative learning, moreover, the agents and mobile agents are applied to autonomous collaboration, and to management persistency of the virtual world. As for collaboration, the Locking Service, Context Awareness Service, etc are intro-duced to maintain efficiency of collaboration activities; two agents of learning roles are responsible for actual learning interactions, and the Session Agent has the ability of migrating among hosts to finish learning goals as well as maximize resource utilization. The GT4.0, JADE and a WS proxy are used to implement all functions. The result suggests it will be a more scalable and robust collaborative learning architecture.