arrow
返回

Towards efficient universal planning:: A randomized approach

delete2000-02-01
delete9
PRE
AI
P
Peter Jönsson
P
Patrik Haslum
C
Christer Bäckström
DOI:10.1016/S0004-3702(99)00103-4delete
delete原文链接
delete原文求助
delete分享
delete收藏
摘要

摘要

En 中文
One of the most widespread approaches to reactive planning is Schoppers' universal plans. We propose a stricter definition of universal plans which guarantees a weak notion of soundness, not present in the original definition, and isolate three different types of completeness that capture different behaviors exhibited by universal plans. We show that universal plans which run in polynomial time and are of polynomial size cannot satisfy even the weakest type of completeness unless the polynomial hierarchy collapses. By relaxing either the polynomial time or the polynomial space requirement, the construction of universal plans satisfying the strongest type of completeness becomes trivial. As an alternative approach, we study randomized universal planning. By considering a randomized version of completeness and a restricted (but nontrivial) class of problems, we show that there exists randomized universal plans running in polynomial time and using polynomial space which are sound and complete for the restricted class of problems. We also report experimental results on this approach to planning, showing that the performance of a randomized planner is not easily compared to that of a deterministic planner. (C) 2000 Elsevier Science B.V. All rights reserved.
Keyword:
universal planning
reactive planning
randomization
computational complexity
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

Artificial Intelligence Review 封面图
Artificial Intelligence Review
IF:
13.9
论文数:
6.1K
被引数:
1.9W

机构

暂无机构信息
引用论文

引用论文

err
IF0
err
err0
errOAAI
err
err分享
err收藏
Effect of Ni Coating on Microstructure and Property of Al Alloy/Steel CMT Welding-Brazing Joints
err2023-02-12
err0
errOAAI
errChao Zhang; Mingfang Wu; Juan Pu; Jiawei Rao; Weimin Long; Yuanxun Shen
err分享
err收藏
err分享
err收藏
没有更多内容