Abstract
This paper focus on results related to the design of a model of a Computer-based Interactive Learning Environment adopting a multi-agent approach. Questions related to why and how adopt this approach are addressed. We begin presenting and emphasizing the definition of both a view of the domain knowledge structure and a model for it. Then, we show the consequences of this toward the definition of a multi-agent system, leading to a complete learning environment. Related to this environment we define its characteristics and its agent model. Moreover, we discuss both the interaction model among agents and between a human learner and the System. Finally, we focus on the interactions among agents during Problem solving activities, discussing the interaction language and the interaction protocols.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bull, S., Pain, H.: did i say what i think i said, and do you agree with me?: Inspecting and questioning the student model. In: Proceedings of AI-ED 1995 – World Conference on Artificial Intelligence in Education, Washington, DC (August 1995)
Costa, E.B., Lopes, M.A., Ferneda, E.: Mathema: A Learning Environment Based on a Multi-Agent Architecture. In: Wainer, J., Carvalho, A. (eds.) SBIA 1995. LNCS (LNAI), vol. 991, pp. 141–150. Springer, Heidelberg (1995)
Costa, E.B., Perkusich, A.: Modeling the cooperative interactions in a teaching/ learning situation. In: Lesgold, A.M., Frasson, C., Gauthier, G. (eds.) ITS 1996. LNCS (LNAI), vol. 1086. Springer, Heidelberg (1996)
Costa, E.B., Perkusich, A.: Designing a multi-agent interactive learning environment. In: Proc.of International Conference on Computers in Education, ICCE 1997, Malasya (December 1997)
Cumming, G., Self, J.: Learner modelling in collaborative intelligent educational systems. In: Goodyear, P. (ed.) Teaching Knowledge and Intelligent Tutoring, Norwood, N.J. (1991)
Franklin, S., Graesser, A.: Is it an agent, or just a program?: A taxonomy for autonomous agents. In: Third International Workshop on Agent Theories, Architectures, and Languages (1996)
Leman, S., Giroux, S., Marcenac, P.A.: A multi-agent approach to student model student reasoning process. In: Wainer, J., Carvalho, A. (eds.) SBIA 1995. LNCS (LNAI), vol. 991, pp. 265–285. Springer, Heidelberg (1995)
Oliveira, F.M., Viccari, R.M., Coelho, H.: A Topological Approach to Equilibrium of Concepts. In: Proc.of the XI Brazilian Symposium on Artificial Intelligence, Fortaleza, Brazil (1994)
Paiva, A., Self, J., Hartley, R.: Externalising learner models. In: Proceedings of AI-ED 1995 - World Conference on Artificial Intelligence in Education, Washington, DC (August 1995)
Self, J.: Bypassing the intractable problem of student modelling. In: Proceedings of Conference on Intelligent Tutoring Systems, Montreal, Canada (August 1988)
Slavin, R.: Learning to cooperate, cooperating to learn. Plenum, New York (1995)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
de Barros Costa, E., Perkusich, A., Ferneda, E. (1998). From a Tridimensional View of Domain Knowledge to Multi-agent Tutoring System. In: de Oliveira, F.M. (eds) Advances in Artificial Intelligence. SBIA 1998. Lecture Notes in Computer Science(), vol 1515. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10692710_7
Download citation
DOI: https://doi.org/10.1007/10692710_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65190-1
Online ISBN: 978-3-540-49523-9
eBook Packages: Springer Book Archive