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Common Misconceptions Concerning Heuristic Search

Conference Paper Oral Presentations Algorithms and Complexity · Artificial Intelligence · Automated Planning and Scheduling

Abstract

This paper examines the following statements about heuristic search, which are commonly held to be true: More accurate heuristics result in fewer node expansions by A* and IDA*. A* does fewer node expansions than any other equally informed algorithm that finds optimal solutions. Any admissible heuristic can be turned into a consistent heuristic by a simple technique called pathmax. In search spaces whose operators all have the same cost A* with the heuristic function h(s)=0 for all states, s, is the same as breadth-first search. Bidirectional A* stops when the forward and backward search frontiers meet. The paper demonstrates that all these statements are false and provides alternative statements that are true.

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Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
19651297002495030
v2026.09.13