Abstract
This paper presents a model of pedagogical negotiation developed for the AMPLIA, an Intelligent Probabilistic Multi-agent Learning Environment. Three intelligent software agents: Domain Agent, Learner Agent and Mediator Agent were developed using Bayesian Networks and Influence Diagrams. The goal of the negotiation model is to increase, as much as possible: (a) the performance of the model the students build; (b) the confidence that teachers and tutors have in the students' ability to diagnose cases; and the students' confidence on their own ability to diagnose cases; and (c) the students' confidence on their own ability to diagnose diseases. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Flores, C. D., Seixas, L. J., Gluz, J. C., & Vicari, R. M. (2005). A model of pedagogical negotiation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3808 LNCS, pp. 488–499). https://doi.org/10.1007/11595014_49
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