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            Automated Deduction – CADE 29

            29th International Conference on Automated Deduction, Rome, Italy, July 1–4, 2023, Proceedings

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            Contributor(s)
            Pientka, Brigitte (editor)
            Tinelli, Cesare (editor)
            Language
            English
            Afficher la notice complète
            Résumé
            This open access book constitutes the proceedings of the 29th International Conference on Automated Deduction, CADE 29, which took place in Rome, Italy, during July 2023. The 28 full papers and 5 short papers presented were carefully reviewed and selected from 77 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.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/184465
            Keywords
            artificial intelligence; automata theory; Boolean functions; formal languages; formal logic; model checking; software engineering; automated theorem proving; software verification; logic programming; automated reasoning; automated deduction; propositional satisfiability; constraint solving; computer algebra; satisfiability modulo theories
            DOI
            10.1007/978-3-031-38499-8
            ISBN
            9783031384998, 9783031384981
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2023
            Imprint
            Springer Nature Switzerland
            Series
            Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence,
            Pages
            592
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            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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