Top-down and bottom-up theorem proving approaches have each specific advantages and disadvantages. Botton-up provers profit from strong redundancy control and suffer from the lack of goal-orientation, whereas top-down provers are goal-oriented but have weak calculi when their proof lengths are considered. In order to integrate both approaches our method is to achieve cooperation between a top-down and a bottom-up prover: the top-down prover generates subgoal clauses, then they are processed by a bottom-up prover. We discuss theoretic aspects of this methodology and we introduce techniques for a relevancy-based filtering of generated subgoal clauses. Experiments with a model elimination and a superposition prover reveal the high potential of our approach.
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