Dual Lookups in Pattern Databases

Abstract

A pattern database (PDB) is a heuristic function stored as a lookup table. Symmetries of a state space are often used to enable multiple values to be looked up in a PDB for a given state. This paper introduces an additional PDB lookup, called the dual PDB lookup. A dual PDB lookup is always admissible but can return inconsistent values. The paper also presents an extension of the well-known pathmax method so that inconsistencies in heuristic values are propagated in both directions (child-to-parent, and parent-to-child) in the search tree. Experiments show that the addition of dual lookups and bidirectional pathmax propagation can reduce the number of nodes generated by IDA* by over one order of magnitude in the TopSpin puzzle and Rubik's Cube, and by about a factor of two for the sliding tile puzzles.

Cite

Text

Felner et al. "Dual Lookups in Pattern Databases." International Joint Conference on Artificial Intelligence, 2005.

Markdown

[Felner et al. "Dual Lookups in Pattern Databases." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/felner2005ijcai-dual/)

BibTeX

@inproceedings{felner2005ijcai-dual,
  title     = {{Dual Lookups in Pattern Databases}},
  author    = {Felner, Ariel and Zahavi, Uzi and Schaeffer, Jonathan and Holte, Robert C.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2005},
  pages     = {103-108},
  url       = {https://mlanthology.org/ijcai/2005/felner2005ijcai-dual/}
}