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 by adapting these models to individual preferences during the interaction. The goal of this PhD is to examine if this combination leads to more efficient human-aware planning components.

Participant at the Doctoral Mentoring programm of the 11th German Conference on Multiagent System Technologies (MATES 2013)

@INCOLLECTION{Ahrndt2013c,
  author = {Sebastian Ahrndt},
  title = {Improving Human-Aware Planning},
  booktitle = {Multiagent System Technologies},
  publisher = {Springer Berlin Heidelberg},
  year = {2013},
  editor = {M. Klusch AND M. Thimm AND M. Paprzycki},
  number = {8076},
  series = {Lecture Notes in Artificial Intelligence},
  pages = {400--403},
  location = {Koblenz, Germany},
  doi = {10.1007/978-3-642-40776-5_33},
  isbn = {978-3-642-40775-8},
  url = {http://dx.doi.org/10.1007/978-3-642-40776-5_33}
}