Abstract
In this paper, we present an integrated graphical environment, called X-Genitor, which supports the design and the development of educational applications for distance learning based on the multi-agent technology. The agents that participate in the educational system interact with each other in order to accomplish the common goal of educating the trainees to a particular educational subject. The X-Genitor allows the author to describe, specify and design the behavior of the produced educational application as well as to design and develop the appropriate learning units that will be presented to the trainee during an educational process. An innovation of the X-Genitor architecture is that the produced educational applications support the individualized and distance learning through the attachment of a mobile user interface agent to each trainee.
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References
Georgeff, M., Pell, B., Pollack, M., Tambe, M., Wooldridge, M.: The Belief-Desire- Intention Model of Agency. In: Muller, J.P., Singh, M., Rao, A. (eds.) Intelligent Agents V, March 1999. Lecture Notes in AI, vol. 1365, Springer, Heidelberg (1999)
Genesereth, M.R., Ketcpel, S.P.: Software Agents. Communications of ACM 37(7), 48–53 (1994)
Kameas, A., Pintelas, P.: The functional architecture and interacion model of a GENerator of Intelligent TutORing applications. Journal of Systems and Software (JSS) 36(3), 233–245 (1997)
Deng, L.Y., Shih, T.K., Huang, T., Liao, Y., Wang, Y., Hsu, H.: A Distributed Mobile Agent Framework for Maintaining Persistent Distance Education. Journal Of Information Science And Engineering 18(4), 489–506 (2002)
Silveira, R., Vicari, R.: Developing Distributed Intelligent Learning Environment with JADE – Java Agents for Distance Education Framework. In: Cerri, S.A., Gouardéres, G., Paraguaçu, F. (eds.) ITS 2002. LNCS, vol. 2363, pp. 105–118. Springer, Heidelberg (2002)
Triantis, A., Pintelas, P.: A Mobile Multi Agent Architecture for Web Based Learning. In: proceedings of International Conference in Advanced Learning Technologies 2004, Finland, August 30-September 1 ( 2004) (to be appeared)
Triantis, A., Kameas, A.D., Zacharakis, I.D., Kagadis, G., Sakellaropoulos, G., Nikifiridis, G., Pintelas, P.: Towards a Generic Multi-agent Architecture of Computer Based Medical Education Applications. In: Proceedings 2d Panhellenic Conference “Information and Communication Technologies in Education, Patra, October 2000, pp. 255–264 (2000)
Zaharakis, I.: About Intelligent Agents’ Formal Specifications. Ph.D. Thesis. Department of Mathematics, Univ. Of Patras (1999)
UMBC AgentWeb: A Portal Related to Agents. Edited by Tim Finin & Yannis Labrou of UMBC Cogito, http://agents.umbc.edu//
AgentLink is the European Commission’s IST-funded Coordination Action for Agent- Based Computing and is coordinated by the University of Liverpool and University of Southampton, http://www.agentlink.org/
Bellifemine, F., Poggi, A., Rimassa, G.: Developing multiagent systems with a FIPAcompliant agent framework. In: Software - Practice & Experience, vol. 31, pp. 103–128. John Wiley & Sons, Ltd., Chichester (2001)
Nwana, H., Ndumu, D., Lee, L., Collis, J.: ZEUS: A Tool-Kit for Building Distributed Multi-Agent Systems. Applied Artifical Intelligence Journal 13(1), 129–186 (1999)
OMG, Object Management Group, Agent Technology Green Paper Agent Working Group, OMG Document, Version 0.91 (2000)
Steiner, T.: Prolog Goes Middleware: Java-based Embedding of Logic Servers. PC AI Journal 15(4), 25–29 (2001)
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Triantis, T., Pintelas, P. (2004). An Integrated Environment for Building Distributed Multi-agent Educational Applications. In: Bussler, C., Fensel, D. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2004. Lecture Notes in Computer Science(), vol 3192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30106-6_36
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DOI: https://doi.org/10.1007/978-3-540-30106-6_36
Publisher Name: Springer, Berlin, Heidelberg
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