English

Total-Order and Partial-Order Planning: A Comparative Analysis

Artificial Intelligence 2009-09-25 v1

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.

Keywords

Cite

@article{arxiv.cs/9412103,
  title  = {Total-Order and Partial-Order Planning: A Comparative Analysis},
  author = {S. Minton and J. Bresina and M. Drummond},
  journal= {arXiv preprint arXiv:cs/9412103},
  year   = {2009}
}

Comments

See http://www.jair.org/ for an online appendix and other files accompanying this article