
אריאל פלנר
אקדמי בכיר
Maximizing over multiple pattern databases speeds up heuristic search
A pattern database (PDB) is a heuristic function stored as a lookup table. This paper considers how best to use a fixed amount (m units) of memory for storing pattern databases. In particular, we examine whether using n pattern databases of size m / n instead of one pattern database of size m improves search performance. In all the state spaces considered, the use of multiple smaller pattern databases reduces the number of nodes generated by IDA*. The paper provides an explanation for this phenomenon based on the distribution of heuristic values that occur during search.
| שפת פרסום | אנגלית |
| דפים | 1123-1136 |
| כתב עת | Artificial Intelligence |
| כרך | 170 |
| נושא מספר | 16-17 |
| סטטוס פרסום | פורסם - 01.11.2006 |
Keywords
Admissible heuristics
Heuristic search
IDA*
Pattern databases
ASJC Scopus subject areas
Language and Linguistics
Linguistics and Language
Artificial Intelligence