About author:JIANG Shipan, born in 1999, M. S. candidate. His research interests include automated reasoning. ZENG Guoyan, born in 1997, Ph. D. candidate. Her research interests include automated reasoning.
Supported by:
National Natural Science Foundation of China(61976130)
LIU X H. Automatic Reasoning based on Reduction Method [M]. Beijing: Science Press, 1994: 15-107.
2
陈钢. 形式化数学和证明工程[J]. 中国计算机学会通讯, 2016, 12(9):40-44.
CHEN G. Formalized mathematics and proof engineering [J]. Communications of CCF, 2016, 12(9):40-44.
3
尼克. 自动定理证明兴衰纪(下)[J]. 中国计算机学会通讯,2016,12(8):52-56.
NICK. The rise and fall of automatic theorem proof (Part 2) [J]. Communications of CCF, 2016, 12(8):52-56.
4
SCHULZ S, CRUANES S, VUKMIROVIĆ P. Faster, higher, stronger: E 2.3 [C]// Proceedings of the 27th International Conference on Automated Deduction. Cham: Springer, 2019: 495-507. 10.1007/978-3-030-29436-6_29
5
KOVÁCS L, VORONKOV A. First-order theorem proving and VAMPIRE [C]// Proceedings of the 2013 International Conference Computer Aided Verification. Berlin: Springer, 2013: 1-35. 10.1007/978-3-642-39799-8_1
6
CAO F, XU Y, LIU J, et al. A multi-clause dynamic deduction algorithm based on standard contradiction separation rule [J]. Information Sciences, 2021, 566: 281-299. 10.1016/j.ins.2021.03.015
7
XU Y, LIU J, CHEN S, et al. Contradiction separation based dynamic multi-clause synergized automated deduction [J]. Information Sciences, 2018, 462: 93-113. 10.1016/j.ins.2018.04.086
8
LIU P, CHEN S, LIU J, et al. An efficient contradiction separation based automated deduction algorithm for enhancing reasoning capability [J]. Knowledge-Based Systems, 2023, 261: 110217. 10.1016/j.knosys.2022.110217
CAO F, XU Y, ZHONG J, et al. First-order logic clause set preprocessing method based on goal deduction distance [J]. Computer Science,2020,47(3):217-221. 10.11896/jsjkx.190100004
CAO F. Research on an automatic theorem prover of first-order logic based on the separation and deduction of contradiction[D]. Chengdu: Southwest Jiaotong University,2020:58-93. 10.22606/ijper.2019.32001
11
McCUNE W. OTTER 3.3 reference manual[R/OL]. [2023-03-01]. . 10.2172/822573
12
DENZINGER J, KRONENBURG M, SCHULZ S. DISCOUNT — a distributed and learning equational prover [J]. Journal of Automated Reasoning, 1997, 18:189-198. 10.1023/a:1005879229581
13
McCUNE W, WOS L. Otter — the CADE-13 competition incarnations [J]. Journal of Automated Reasoning, 1997, 18: 211-220. 10.1023/a:1005843632307
14
ROBINSON J A. A machine-oriented logic based on the resolution principle [J]. Journal of the ACM, 1965, 12(1): 23-41. 10.1145/321250.321253
15
MENG J, PAULSON L C. Lightweight relevance filtering for machine-generated resolution problems[J]. Journal of Applied Logic, 2009, 7(1): 41-57. 10.1016/j.jal.2007.07.004
16
PIOTROWSKI B, URBAN J. ATPBOOST: learning premise selection in binary setting with ATP feedback [C]// Proceedings of the 2018 International Joint Conference on Automated Reasoning. Cham: Springer, 2018: 566-574. 10.1007/978-3-319-94205-6_37
17
LIN Q, LIU J, ZHANG L, et al. Contrastive graph representations for logical formulas embedding[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(4): 3563-3574. 10.1109/tkde.2021.3139333
18
SUTCLIFFE G. The TPTP problem library and associated infrastructure [J]. Journal of Automated Reasoning, 2017, 59: 483-502. 10.1007/s10817-017-9407-7