Abstract
A new method for automated planning, refinement of skeletal plans, has been developed for the problem of experiment design in the domain of molecular biology. The method resulted from a study of the problem-solving behavior of scientists which showed that design usually consisted of look-up of abstracted plans followed by hierarchical plan-step refinement. The skeletal plan method has been implemented through two generations of problem-solving systems, the second generation involving a synthesis with the metaplanning approach of Stefik.
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