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.
Keywords
- Bayesian Network
- Negotiation Process
- Justify Belief
- Bayesian Network Model
- Negotiation Model
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Flores, C.D., Seixas, L.J., Gluz, J.C., Vicari, R.M. (2005). A Model of Pedagogical Negotiation. In: Bento, C., Cardoso, A., Dias, G. (eds) Progress in Artificial Intelligence. EPIA 2005. Lecture Notes in Computer Science(), vol 3808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595014_49
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DOI: https://doi.org/10.1007/11595014_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30737-2
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