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Titlebook: Automated Deduction – CADE 28; 28th International C André Platzer,Geoff Sutcliffe Conference proceedings‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if app

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期刊全称Automated Deduction – CADE 28
期刊简称28th International C
影响因子2023André Platzer,Geoff Sutcliffe
视频video
发行地址This book is open access, which means that you have free and unlimited access
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Automated Deduction – CADE 28; 28th International C André Platzer,Geoff Sutcliffe Conference proceedings‘‘‘‘‘‘‘‘ 2021 The Editor(s) (if app
影响因子This open access book constitutes the proceeding of the 28th International Conference on Automated Deduction, CADE 28, held virtually in July 2021..The 29 full papers and 7 system descriptions presented together with 2 invited papers were carefully reviewed and selected from 76 submissions. CADE is the major forum for the presentation of research in all aspects of automated deduction, including foundations, applications, implementations, and practical experience. The papers are organized in the following topics: Logical foundations; theory and principles; implementation and application; ATP and AI; and system descriptions..
Pindex Conference proceedings‘‘‘‘‘‘‘‘ 2021
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978-3-030-79875-8The Editor(s) (if applicable) and The Author(s) 2021
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Towards the Automatic Mathematicianant premises, and even useful conjectures using neural networks. This extended abstract summarizes recent developments of machine learning in mathematical reasoning and the vision of the N2Formal group at Google Research to create an automatic mathematician. The second part discusses the key challenges on the road ahead.
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Isabelle’s Metalogic: Formalization and Proof Checkerms. We formalize this metalogic and the language of proof terms in Isabelle/HOL, define an executable (but inefficient) proof term checker and prove its correctness w.r.t. the metalogic. We integrate the proof checker with Isabelle and run it on a range of logics and theories to check the correctness of all the proofs in those theories.
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The , Calculus Is a ,-complete Decision Procedure for Non-linear Constraintse investigate properties of the . calculus and show that it is a .-complete decision procedure for bounded problems. We also propose an extension with local linearisations, which allow for more efficient treatment of non-linear constraints.
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https://doi.org/10.1007/978-3-658-38732-7ant premises, and even useful conjectures using neural networks. This extended abstract summarizes recent developments of machine learning in mathematical reasoning and the vision of the N2Formal group at Google Research to create an automatic mathematician. The second part discusses the key challen
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https://doi.org/10.1007/978-3-662-00554-5two formulas are said to be identical if they share the same denotation. In the semantics of the logic, truth values are distinguished from denotations, hence the identity connective is strictly stronger than classical equivalence. In this paper we present a sound, complete, and terminating algorith
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