M. Alicia Perez. Learning Search Control Knowledge to Improve Plan Quality. Report cmu-cs-95-175. Home/Search Document Details and Download
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How to Solve It Automatically: Selection Among Problem-Solving.. - Fink (1998) (6 citations) (Correct)
....there is no answer. 2 Motivating Example Suppose that we use PRODIGY to construct plans for transporting packages between different locations in a city (Veloso 1994) We consider the use of three planning methods. The first of them is based on several control rules, designed by Veloso (1994) and Perez (1995) to guide PRODIGY s search in the transportation domain. This method applies the selected planning operators as early as possible; we call it APPLY. The second method uses the same control rules and a special rule that delays the operator application and forces more emphasis on the backward search ....
Perez, M. A. 1995. Learning Search Control Knowledge to Improve Plan Quality. Ph.D. Dissertation, School of Computer Science, Carnegie Mellon University. Technical Report CMU-CS-95-175.
Prodigy Bidirectional Planning - Fink, Blythe (Correct)
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M. Alicia Perez. Learning Search Control Knowledge to Improve Plan Quality. Report cmu-cs-95-175.
Automatic Evaluation and Selection of Problem-Solving Methods.. - Fink (Correct)
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M. Alicia Perez. Learning Search Control Knowledge to Improve Plan Quality. PhD thesis, School of Computer Science, Carnegie Mellon University, 1995. Technical Report cmu-cs-95-175.
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