Decompositional planning combines hierarchical reasoning as discussed in hierarchical task networks (HTNs) and least-commitment refinement reasoning as discussed in partial-ordercausal link planning (POCL) in a unified knowledge representation and a sound and complete reasoning procedure. This project involves developing computational machinery designed to expand the applicability of decompositional planning.
David R. Winer and Rogelio E. Cardona-Rivera; A Depth-Balanced Approach to Decompositional Planning for Problems where Hierarchical Depth is Requested. In Proceedings of the 1st Workshop on Hierarchical Planning at the 28th International Conference on Automated Planning and Scheduling (ICAPS 2018), pages 1-8, Delft, The Netherlands, 2018.
Name: Decompositional Planning
Project Stage: Harvest
Categories: Artificial Intelligence
Tags: Decompositional Planning,Least-commitment Planning
External Site: None.