English

FLECS: Planning with a Flexible Commitment Strategy

Artificial Intelligence 2009-09-25 v1

Abstract

There has been evidence that least-commitment planners can efficiently handle planning problems that involve difficult goal interactions. This evidence has led to the common belief that delayed-commitment is the "best" possible planning strategy. However, we recently found evidence that eager-commitment planners can handle a variety of planning problems more efficiently, in particular those with difficult operator choices. Resigned to the futility of trying to find a universally successful planning strategy, we devised a planner that can be used to study which domains and problems are best for which planning strategies. In this article we introduce this new planning algorithm, FLECS, which uses a FLExible Commitment Strategy with respect to plan-step orderings. It is able to use any strategy from delayed-commitment to eager-commitment. The combination of delayed and eager operator-ordering commitments allows FLECS to take advantage of the benefits of explicitly using a simulated execution state and reasoning about planning constraints. FLECS can vary its commitment strategy across different problems and domains, and also during the course of a single planning problem. FLECS represents a novel contribution to planning in that it explicitly provides the choice of which commitment strategy to use while planning. FLECS provides a framework to investigate the mapping from planning domains and problems to efficient planning strategies.

Keywords

Cite

@article{arxiv.cs/9506101,
  title  = {FLECS: Planning with a Flexible Commitment Strategy},
  author = {M. Veloso and P. Stone},
  journal= {arXiv preprint arXiv:cs/9506101},
  year   = {2009}
}

Comments

See http://www.jair.org/ for an online appendix and other files accompanying this article