Title
Interoperable Bayesian Agents for Collaborative Learning
Abstract
This paper presents issues related to an educational portal design and collaboration in intelligent tutoring systems (ITS). In order to achieve the collaboration it was necessary to provide a way to interoperate knowledge among the heterogeneous systems. We have been developing ITS as resources to improve the individual and personalized learning. We believe that individual experiences can be more successful when the student has more autonomy and he is less dependent of the professor. This paper details the social agent, an agent to improve student's learning stimulating his interaction with other students, specially how this agent exchange Bayesian knowledge among AMPLIA agents. The AMPLIA environment is an intelligent probabilistic multi-agent environment to support the diagnostic reasoning development and the diagnostic hypotheses modeling of domains with complex and uncertain knowledge, like medical area.
Year
DOI
Venue
2007
10.1109/ICALT.2007.172
Niigata
Keywords
Field
DocType
Bayes methods,groupware,inference mechanisms,intelligent tutoring systems,multi-agent systems,portals,probability,AMPLIA agents,Bayesian knowledge,collaborative learning,diagnostic hypotheses modeling,diagnostic reasoning development,educational portal design,heterogeneous systems,intelligent probabilistic multiagent environment,intelligent tutoring systems,interoperable Bayesian agent,medical area,personalized learning,social agent,student learning
Collaborative learning,Interoperability,Computer science,Collaborative software,Autonomy,Knowledge management,Multi-agent system,Personalized learning,Probabilistic logic,Bayesian probability
Conference
ISBN
Citations 
PageRank 
0-7695-2916-X
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Elisa Boff1205.46
Elder Rizzon Santos2203.57
Moser Silva Fagundes3578.65
Verdin, R.401.69