Automated Deduction offers no unique strategy which is uniformly successful on all problems. Hence a parallel combination of strategies increases the chances of success. Our approach is made even more efficient by the exchange of suitable intermediate results. We present in this paper the model of a cooperative parallel model elimination prover which combines different lemma selection strategies in a strategy parallel prover environment. We assess the results of first experiments and give an outline of the future work.
Wolf, A., & Draeger, J. (1999). Strategy parallel use of model elimination with lemmata: System abstract. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1617, pp. 319–323). Springer Verlag. https://doi.org/10.1007/3-540-48754-9_28