Abstract
When it comes to planning for joint human-agent activities one has to consider not only a flexible plan execution and social constraints but also the dynamic nature of humans. This can be done by providing human behavioral models about abilities and preferences and adapting these models to individual preferences during the interaction. The goal of this PhD is to examine whether this combination leads to more efficient human-aware planning components. © 2013 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Ahrndt, S. (2013). Improving human-aware planning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8076 LNAI, pp. 400–403). Springer Verlag. https://doi.org/10.1007/978-3-642-40776-5_33
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