A Weighted Technique in Heuristic Search
Proceedings of the Ninth International Joint Conference on Artificial Intelligence. Planning and Search. Pages 1037-1038.
Abstract
As shown in (1), we examine search as a statistic sampling proce s s. Based on some statistical infe rence method the probability that a subtree in search tree conteins the goal can be decided . Th us some weight is intentionaly added to the evaluation function of those nodes which are unlikely in the solution path so that the search will concentrate on the most promising p a th. It results in a new weig hte d a lgorithm-WSA. In a uniform m- ary tree, we show that a goal can be found by WSA in the polynomial time, although tßN computational complexity of A (or A*) may be O(e ) for searching the same space. Where N is the depth at which the goa l i s loc ated.
@inproceedings{ijcai1985p209,
title = {A Weighted Technique in Heuristic Search},
author = {Zhang, Bo and Zhang, Ling},
booktitle = {Proceedings of the Ninth International Joint Conference on
Artificial Intelligence, {IJCAI-85}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Aravind Joshi},
pages = {1037--1038},
year = {1985},
note = {Planning and Search},
url = {https://ijcai.org/proceedings/1985/209},
}
TY - CPAPER TI - A Weighted Technique in Heuristic Search AU - Zhang, Bo AU - Zhang, Ling T2 - Proceedings of the Ninth International Joint Conference on Artificial Intelligence, IJCAI-85 PB - International Joint Conferences on Artificial Intelligence PY - 1985 SP - 1037 EP - 1038 UR - https://ijcai.org/proceedings/1985/209 ER -Copied
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