Total-Order and Partial-Order Planning: A Comparative Analysis (1994)
| Venue: | Journal of Artificial Intelligence Research |
| Citations: | 25 - 2 self |
BibTeX
@ARTICLE{Minton94total-orderand,
author = {Steven Minton and John Bresina and Mark Drummond},
title = {Total-Order and Partial-Order Planning: A Comparative Analysis},
journal = {Journal of Artificial Intelligence Research},
year = {1994},
volume = {2},
pages = {227--262}
}
Years of Citing Articles
OpenURL
Abstract
For many years, the intuitions underlying partial-order planning were largely taken for granted. Only in the past few years has there been renewed interest in the fundamental principles underlying this paradigm. In this paper, we present a rigorous comparative analysis of partial-order and total-order planning by focusing on two specific planners that can be directly compared. We show that there are some subtle assumptions that underly the wide-spread intuitions regarding the supposed efficiency of partial-order planning. For instance, the superiority of partial-order planning can depend critically upon the search strategy and the structure of the search space. Understanding the underlying assumptions is crucial for constructing efficient planners. 1. Introduction For many years, the superiority of partial-order planners over total-order planners has been tacitly assumed by the planning community. Originally, partial-order planning was introduced by Sacerdoti (1975) as a way to improv...







