Abstraction-based action ordering in planning

M. Fox, D. Long, J. Porteous

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)
68 Downloads (Pure)


Many planning problems contain collections of symmetric objects, actions and structures which render them difficult to solve efficiently. It has been shown that the detection and exploitation of symmetric structure in planning problems can dramatically reduce the size of the search space and the time taken to find a solution. We present the idea of using an abstraction of the problem domain to reveal symmetric structure and guide the navigation of the search space. We show that this is effective even in domains in which there is little accessible symmetric structure available for pruning. Proactive exploitation represents a flexible and powerful alternative to the symmetry-breaking strategies exploited in earlier work in planning and CSPs. The notion of almost symmetry is defined and results are presented showing that proactive exploitation of almost symmetry can improve the performance of a heuristic forward search planner.
Original languageEnglish
Title of host publicationProceedings of the International Joint Conferences on Artificial Intelligence (IJCAI-05)
Number of pages6
Publication statusPublished - 2005


  • planning
  • abstraction
  • navigation
  • searching
  • symmetry
  • information retrieval


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