A meta-CSP model for optimal planning

Gregory, Peter and Long, Derek and Fox, Maria; Ruml, W. and Miguel, I., eds. (2007) A meta-CSP model for optimal planning. In: Seventh Symposium on Abstraction, Reformulation and Approximation (SARA), 2007-07-18 - 2007-07-21.

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    Abstract

    One approach to optimal planning is to first start with a sub-optimal solution as a seed plan, and then iteratively search for shorter plans. This approach inevitably leads to an increase in the size of the model to be solved.We introduce a reformulation of the planning problem in which the problem is described as a meta-CSP, which controls the search of an underlying SAT solver. Our results show that this approach solves a greater number of problems than both Maxplan and Blackbox, and our analysis discusses the advantages and disadvantages of searching in the backwards direction.