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Nekoka

Financiado

Realizing the Promise of Higher-Order SMT and Superposition for Interactive Veri...

Realizing the Promise of Higher-Order SMT and Superposition for Interactive Verification Proof assistants (also called interactive theorem provers) have a long history of being very tedious to use. The situation has improved markedly in the past decade with the integration of first-order automatic theorem provers as b... ver más

30/06/2028

LMU MUENCHEN

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

LUDWIGMAXIMILIANSUNIVERSITAET MUENCHEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-04-05

ERC-2022-COG: ERC CONSOLIDATOR GRANTS Scope:Objectives

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Cerrada hace 2 años

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1 Participantes

LMU MUENCHEN

2.00M€ | Lider

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Duración del proyecto: 62 meses Fecha Inicio: 2023-04-05
Fecha Fin: 2028-06-30

Líder del proyecto

LUDWIGMAXIMILIANSUNIVERSITAET MUENCHEN No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Descripción del proyecto Proof assistants (also called interactive theorem provers) have a long history of being very tedious to use. The situation has improved markedly in the past decade with the integration of first-order automatic theorem provers as backends. And recently, there have been exciting developments for more expressive logics, with the emergence of automatic provers based on optimized higher-order calculi. The Nekoka project's aim is to make higher-order SMT and λ-superposition a perfect fit for logical problems emerging from the verification of software and mathematics. We will start by extending higher-order SMT and λ-superposition and implementing them in automatic provers to provide push-button proof automation for lemmas expressed in higher-order logics. To reach end users, we will integrate the automatic provers in interactive tools: both general-purpose proof assistants and software verification platforms. As case studies, we will use our own provers and integrations to formalize quantum information theory and verify a big data framework in collaboration with domain experts. Beyond providing representative case studies, this will help build a user community around our tools and technologies. In terms of scientific impact, the improved higher-order SMT and λ-superposition calculi will substantially advance the art of higher-order automation and help reorient research in automated reasoning towards the needs of end users, whether computer scientists or mathematicians. Our tools will outlive the project, serving end users and continuing to be useful for future research. At the societal level, the project will herald a future in which automatic provers and proof assistants are routinely deployed in tandem to verify critical computing infrastructure and to formalize research in computer science and mathematics, thereby leading to more trustworthy software and science.

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