Intention Recognition for Partial-Order Plans Using Dynamic Bayesian Networks

Article English OPEN
Krauthausen, Peter; Hanebeck, Uwe D.;
(2009)
  • Publisher: Universität Karlsruhe
  • Subject: DATA processing & computer science
    • ddc: ddc:004

In this paper, a novel probabilistic approach to intention recognition for partial-order plans is proposed. The key idea is to exploit independences between subplans to substantially reduce the state space sizes in the compiled Dynamic Bayesian Networks. This makes infe... View more
Share - Bookmark

  • Download from
    KITopen via KITopen (Article, 2009)
  • Cite this publication