The paper introduces a new approach for the recognition of plans and goals of an agent. The problem is thereby transformed into an HTN planning problem and solved using standard planning systems. That way, no specialized solvers are needed for plan and goal recognition.
ICTAI Best Paper Award
Ulm University Ulm University
D. Höller, G. Behnke, P. Bercher and S. Biundo received for their paper "Plan and Goal Recognition as HTN Planning" the Best Paper Award at the International Conference on Tools with Artificial Intelligence (ICTAI 2018).