Abstract
Uncertainty is inescapable in real-world problem solving, and is particularly salient in attempts to infer the goals and intentions of people. Identifying the goals of users as they interact with computer-based systems, given such evidence as the user’s actions and background, and the specific context at hand—and effectively harnessing such information to enhance the quality of human-computer interaction—is typically a challenging problem in decision making under uncertainty.
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© 1997 Springer-Verlag Wien
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Horvitz, E. (1997). Agents With Beliefs: Reflections on Bayesian Methods for User Modeling. In: Jameson, A., Paris, C., Tasso, C. (eds) User Modeling. International Centre for Mechanical Sciences, vol 383. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2670-7_44
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DOI: https://doi.org/10.1007/978-3-7091-2670-7_44
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82906-6
Online ISBN: 978-3-7091-2670-7
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