Search in a Small World
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Search. Pages 1172-1176.
Abstract
In a graph with a "small world" topology, nodes are highly clustered yet the path length between them is small. Such a topology can make search problems very difficult since local decisions quickly propagate globally. We show that graphs a<>sociated with many different search problems have a small world topology, and that the cost of solving such search problems can have a heavy-tailed distribution. The strategy of randomization and restarts appears to eliminate these heavy tails. A novel restart schedule in which the cutoff bound is increased geometrically appears particularly effective.
@inproceedings{ijcai1999p166,
title = {Search in a Small World},
author = {Walsh, Toby},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1172--1176},
year = {1999},
note = {Search},
url = {https://ijcai.org/proceedings/1999/166},
}
TY - CPAPER TI - Search in a Small World AU - Walsh, Toby T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1172 EP - 1176 UR - https://ijcai.org/proceedings/1999/166 ER -Copied
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