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SoCS 2015

The Spurious Path Problem in Abstraction

Conference Paper Full Papers Algorithms and Complexity · Artificial Intelligence · Automated Planning and Scheduling

Abstract

Abstraction is a powerful technique in search and planning. A fundamental problem of abstraction is that it can create spurious paths, i. e. , abstract paths that do not correspond to valid concrete paths. In this paper, we define spurious paths as a generalization of spurious states. We show that spurious paths can be categorized into two types: state-independent spurious paths and state-specific spurious paths. We present a practical method that eliminates state-independent spurious paths, as well as state-specific spurious paths when integrated with mutex detection methods. We provide syntactical conditions under which our method can remove state-independent spurious paths completely. We demonstrate that eliminating spurious paths can improve a heuristic substantially, even in abstract spaces that are free of spurious states.

Authors

Keywords

  • spurious paths
  • spurious states
  • abstraction heuristics
  • refinement

Context

Venue
International Symposium on Combinatorial Search
Archive span
2010-2024
Indexed papers
598
Paper id
48530555610125039
v2026.09.13