Abstract
We examine an approach for demand-driven cooperative theorem proving that is well-suited for saturation-based theorem provers. We briefly point out some problems arising from the use of common success-driven cooperation methods, and we propose the application of our approach of requirement-based cooperative theorem proving. This approach aims to allowing more orientation on current needs of provers in comparison with conventional cooperation concepts. We introduce an abstract framework for requirement-based cooperation and describe two instantiations of it: Requirement-based exchange of facts and sub-problem division and transfer via requests. Finally, we report on an experimental study conducted in the areas of superposition and unfailing completion.
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References
J. Avenhaus, J. Denzinger, and M. Fuchs. DISCOUNT: A System For Distributed Equational Deduction. In Proc. 6th RTA, pages 397–402, Kaiserslautern, 1995. LNCS 914.
L. Bachmair, N. Dershowitz, and D.A. Plaisted. Completion without Failure. In Coll. on the Resolution of Equations in Algebraic Structures. Academic Press, Austin, 1989.
L. Bachmair and H. Ganzinger. Rewrite-based equational theorem proving with selection and simplification. Journal of Logic and Computation, 4(3):217–247, 1994.
M.P. Bonacina and J. Hsiang. The Clause-Diffusion methodology for distributed deduction. Fundamenta Informaticae, 24:177–207, 1995.
M.P. Bonacina. On the reconstruction of proofs in distributed theorem proving: a modified Clause-Diffusion method. Journal of Symbolic Computation, 21(4):507–522, 1996.
J. Denzinger. Knowledge-based distributed search using teamwork. In Proc. ICMAS-95, pages 81–88, San Francisco, 1995. AAAI-Press.
J. Denzinger and D. Fuchs. Enhancing conventional search systems with multi-agent techniques: a case study. In Proc. ICMAS-98, Paris, France, 1998.
W. Ertel. OR-Parallel Theorem Proving with Random Competition. In Proceedings of LPAR’92, pages 226–237, St. Petersburg, Russia, 1992. Springer LNAI 624.
D. Fuchs and J. Denzinger. Knowledge-based cooperation between theorem provers by TECHS. Technical Report SR-97-11, University of Kaiserslautern, Kaiserslautern, 1997.
D. Fuchs. Coupling saturation-based provers by exchanging positive/negative information. In Proc. 9th RTA, pages 317–331, Tsukuba, Japan, 1998. LNCS 1379.
D. Fuchs. Requirement-based cooperative theorem proving. Technical Report SR-98-02 (ftp://ftp.uni-kl.de/reports_uni-kl/computer_science/SEKI/1998/Fuchs.SR-98-02.ps.gz), University of Kaiserslautern, Kaiserslautern, 1998.
J. Hsiang and M. Rusinowitch. On word problems in equational theories. In Proc. ICALP87, pages 54–71. LNCS 267, 1987.
G. Sutcliffe and C.B. Suttner. The results of the cade-13 ATP system competition. Journal of Automated Reasoning, 18(2):271–286, 1997.
G. Sutcliffe, C.B. Suttner, and T. Yemenis. The TPTP Problem Library. In CADE-12, pages 252–266, Nancy, 1994. LNAI 814.
G. Sutcliffe. A heterogeneous parallel deduction system. In Proc. FGCS’92 Workshop W3, 1992.
C. Weidenbach, B. Gaede, and G. Rock. Spass & Flotter Version 0.42. In Proc. CADE-13, pages 141–145, New Brunswick, 1996. LNAI 1104.
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Fuchs, D. (1998). Requirement-Based Cooperative Theorem Proving. In: Dix, J., del Cerro, L.F., Furbach, U. (eds) Logics in Artificial Intelligence. JELIA 1998. Lecture Notes in Computer Science(), vol 1489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49545-2_10
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DOI: https://doi.org/10.1007/3-540-49545-2_10
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