אריאל פלנר

אקדמי בכיר

Inconsistent heuristics

Uzi Zahavi, Ariel Felner, Jonathan Schaeffer, Nathan Sturtevant

In the field of heuristic search it is well-known that improving the quality of an admissible heuristic can significantly decrease the search effort required to find an optimal solution. Existing literature often assumes that admissible heuristics are consistent, implying that consistency is a desirable attribute. To the contrary, this paper shows that an inconsistent heuristic can be preferable to a consistent heuristic. Theoretical and empirical results show that, in many cases, inconsistency can be used to achieve large performance improvements.

שפת פרסום אנגלית
דפים 1211-1216
סטטוס פרסום פורסם - 28.11.2007

ASJC Scopus subject areas

Software
Artificial Intelligence
קבצים וקישורים אחרים
Link to publication in Scopus