Moving Target Search
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Automated Reasoning. Pages 204-210.
Abstract
We consider the case of heuristic search where the location of the goal may change during the course of the search. For example, the goal may be a target that is actively avoiding the problem solver. We present a moving target search algorithm (MTS} to solve this problem. We prove that if the average speed of the target is slower than that of the problem solver, then the problem solver is guaranteed to eventually reach the target. An implementation with randomly positioned obstacles confirms that the MTS algorithm is highly effective in various situations.
@inproceedings{ijcai1991p31,
title = {Moving Target Search},
author = {Ishida, Toru and Korf, Richard E.},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {204--210},
year = {1991},
month = {8},
note = {Automated Reasoning},
url = {https://ijcai.org/proceedings/1991/31},
}
TY - CPAPER TI - Moving Target Search AU - Ishida, Toru AU - Korf, Richard E. T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 204 EP - 210 UR - https://ijcai.org/proceedings/1991/31 ER -Copied
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