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A framework for planning algorithms that is both optimal and complete will be presented that allows for the planning of optimal paths through a multi-level hierarchy of annotated graph spaces. A rich world model that contains multi-resolution attributes, costs, and predicates controls the integrated incremental construction and evaluation of the planning graph in dynamic environments. The properties of this framework are proven and a number of example problem domains are presented that show how this framework can incorporate both hard and soft constraints during both graph construction and arc evaluation.
optimal plan, planning, planning graph, world model
Citation
Balakirsky, S.
and Herzog, O.
(2002),
Planning with Incrementally Created Graphs, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD
(Accessed October 20, 2025)