Sufficient conditions for node expansion in bidirectional heuristic search

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Abstract

In this paper we study bidirectional state space search with consistent heuristics, with a focus on obtaining sufficient conditions for node expansion, i.e., conditions characterizing nodes that must be expanded by any admissible bidirectional search algorithm. We provide such conditions for front-to-front and front-to-end bidirectional search. The sufficient conditions are used to prove that the front-to-front bidirectional search algorithm BDS1 is optimally efficient, in terms of node expansion, among a broad class of bidirectional search algorithms, for a specific class of problem instances. Dechter and Pearl's well-known result on sufficient conditions for node expansion by unidirectional algorithms such as A∗ is shown to be a special case of our results.

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APA

Eckerle, J., Chen, J., Sturtevant, N. R., Zilles, S., & Holte, R. C. (2017). Sufficient conditions for node expansion in bidirectional heuristic search. In Proceedings International Conference on Automated Planning and Scheduling, ICAPS (Vol. 0, pp. 79–87). Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/icaps.v27i1.13825

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