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

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Heloderma (Krustenechsen, Gila Monster),e 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/10.1007/978-3-662-07493-0mponents – is gaining increasing importance in various sectors, such as communication protocols and control software. Such systems are typically modeled using quantified formulae, describing the behaviour of an unbounded number of (identical) components, and their automatic verification often relies

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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 challenges on the road ahead.

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https://doi.org/10.1007/978-3-642-96351-3ms. 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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André Platzer,Geoff SutcliffeThis book is open access, which means that you have free and unlimited access

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0302-9743 ternational 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