Abstract
In a collaborative environment, knowledge about collaborators’ skills is an important factor when determining which team members should perform a task. However, this knowledge may be incomplete or uncertain. In this paper, we extend our ETAPP (Environment-Task-Agents-Policy-Protocol) collaboration framework by modeling team members that exhibit non-deterministic performance, and comparing two alternative ways of using these models to assign agents to tasks. Our simulation-based evaluation shows that performance variability has a large impact on task performance, and that task performance is improved by consulting agent models built from a small number of observations of agents’ recent performance.
This research was supported in part by Linkage Grant LP0347470 from the Australian Research Council, and by an endowment from Hewlett Packard. The authors thank Yuval Marom for his assistance with the evaluation.
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© 2005 Springer-Verlag Berlin Heidelberg
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Zukerman, I., Guttmann, C. (2005). Modeling Agents That Exhibit Variable Performance in a Collaborative Setting. In: Ardissono, L., Brna, P., Mitrovic, A. (eds) User Modeling 2005. UM 2005. Lecture Notes in Computer Science(), vol 3538. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527886_27
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DOI: https://doi.org/10.1007/11527886_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27885-6
Online ISBN: 978-3-540-31878-1
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