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Titlebook: Automated Deduction – CADE 27; 27th International C Pascal Fontaine Conference proceedings 2019 Springer Nature Switzerland AG 2019 artific

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21#
發(fā)表于 2025-3-25 07:14:47 | 只看該作者
Sonderaufgaben des Modellbaues,ro sets of time within CPS models. This approach facilitates modeling since it admits the verification of a wider class of models, including some physically realistic models that would otherwise be classified as mathematically unsafe. We also develop a proof calculus to help with the verification of PHS.
22#
發(fā)表于 2025-3-25 09:11:10 | 只看該作者
Nichtoperative Therapie der Harninkontinenz linear fragment of the logic (the so-called WS1S) into .. We implemented our decision procedure and identified classes of formulae on which our prototype implementation is significantly faster than the classical procedure implemented in the . tool.
23#
發(fā)表于 2025-3-25 14:05:11 | 只看該作者
Extending SMT Solvers to Higher-Order Logic, HOL SMT solver from the ground up via new data structures and algorithms. We apply our pragmatic extension to the CVC4 SMT solver and discuss a redesign of the veriT SMT solver. Our evaluation shows they are competitive with state-of-the-art HOL provers and often outperform the traditional encoding into FOL.
24#
發(fā)表于 2025-3-25 19:05:08 | 只看該作者
25#
發(fā)表于 2025-3-25 20:51:24 | 只看該作者
ENIGMA-NG: Efficient Neural and Gradient-Boosted Inference Guidance for E,dataset of theorem proving problems and compared with the previous approaches. The resulting methods improve on the manually designed clause guidance, providing the first practically convincing application of gradient-boosted and neural clause guidance in saturation-style automated theorem provers.
26#
發(fā)表于 2025-3-26 01:29:14 | 只看該作者
27#
發(fā)表于 2025-3-26 04:27:04 | 只看該作者
28#
發(fā)表于 2025-3-26 09:03:37 | 只看該作者
29#
發(fā)表于 2025-3-26 13:37:44 | 只看該作者
M. Kirschbaum,U. Lang,R. Stillgerroblems, and compare their performances. This also results in a new “grand unified” large theory benchmark that emulates the ITP/ATP hammer setting, where systems and metasystems can use multiple formalisms in complementary ways, and jointly learn from the accumulated knowledge.
30#
發(fā)表于 2025-3-26 17:27:06 | 只看該作者
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