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Propagating updates in real-time search: FALCONS(k)

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2 Author(s)
Hernandez, C. ; Inst. d''Investigacio en Intelligencia Artificial, Consejo Superior de Investigaciones Cientificas, Bellaterra, Spain ; Meseguer, P.

We enhance real-time search algorithms with bounded propagation of heuristic changes. When the heuristic of the current state is updated, this change is propagated consistently up to k states not necessarily distinct. Applying this idea to FALCONS, we have develop the new FALCONS(k), an algorithm that keeps the good theoretical properties of FALCONS and improves its performance. We provide experimental results on benchmarks for real-time search, showing the benefits of our approach.

Published in:

Chilean Computer Science Society, 2005. SCCC 2005. 25th International Conference of the

Date of Conference:

7-11 Nov. 2005