“Planning under the restriction of Hierarchical Partial Orders” by Stacy Marsella, UMI. June 1993.
The research concerns how a planner derives a plan to solve a problem. Two assumptions inform the work, that plans are derived by recursively decomposing problems into easier to solve subproblems and that expertise is marked by the avoidance of search. Those assumptions suggest restrictions both on the way a planner groups and relates its own decisions in deriving a plan, as well as on the way in which a planner models interactions between actions executed in the real world. These restrictions are characterized by a class of partial orders called "hierarchical partial orders". One of the benefits of these orders is that they provide an effective means by which an agent can relate its own decisions during plan derivation to execution of actions in the world. In addition, the research addresses the issue of how hierarchical partial orders impact the learning of planning expertise.
BibTeX entry:
@misc{MarThesis, author = {Stacy Marsella}, title = {Planning under the restriction of Hierarchical Partial Orders}, publisher = {UMI}, address = {Ann Arbor, MI}, month = jun, year = {1993}, url = {http://www.stacymarsella.org/publications/pdf/Planning_under_the_restriction.pdf} }
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