A Parallel Tree Search Method
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
We describe a new tree search method which searches best few paths with backtracking in parallel by the following algorithm (a-8-y search). Expand the best a nodes at one time. If the number of new nodes which have been expanded by a selected node exceeds a pre-set threshold (8), only the best 8 nodes are kept and others are pruned. If the total number of newly generated node sequences and non-expanded node sequences exceeds a pre-set threshold (y), only the best y node sequences are kept, and others are removed. Repeat these consecutive processes until a complete sequence is generated . We evaluated this method by simulaUons and experiments, and obtained good performances both in the search efficiency and in the recognition rate.
@inproceedings{ijcai1979p137,
title = {A Parallel Tree Search Method},
author = {Nakagawa, Sei-ichi and Sakai, Toshiyuki},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/137},
}
TY - CPAPER TI - A Parallel Tree Search Method AU - Nakagawa, Sei-ichi AU - Sakai, Toshiyuki T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/137 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: