Special double issue on ``Numerical Uncertainty Management in User and Student Modeling''
Autor: Jameson, Anthony
Herausgeber:
A rapidly growing number of user and student modeling
systems have employed numerical techniques for uncertainty
management. The three major paradigms are those of Bayesian
networks, the Dempster-Shafer theory of evidence, and fuzzy
logic. In this overview, each of the first three main sections
focuses on one of these paradigms. It first introduces the basic
concepts by showing how they can be applied to a relatively
simple user modeling problem. It then surveys systems that have
applied techniques from the paradigm to user or student modeling,
characterizing each system within a common framework. The final
main section discusses several aspects of the usability of these
techniques for user and student modeling, such as their knowledge
engineering requirements, their need for computational resources,
and the communicability of their results.
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