Abstract
Efficient algorithms for the computation of optimum stable models are based on unsatisfiable core
analysis. However, these algorithms essentially run
to completion, providing few or even no suboptimal stable models. This drawback can be circumvented by shrinking unsatisfiable cores. Interestingly, the resulting anytime algorithm can solve
more instances than the original algorithm