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    Automated Reasoning

    12th International Joint Conference, IJCAR 2024, Nancy, France, July 3–6, 2024, Proceedings, Part I

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    Contributor(s)
    Benzmüller, Christoph (editor)
    Heule, Marijn J.H. (editor)
    Schmidt, Renate A. (editor)
    Language
    English
    Show full item record
    Abstract
    This two-volume set of LNAI 14739-14740 constitute the proceedings of the 12th International Joint Conference on Automated Reasoning, IJCAR 2024, held in Nancy, France, during July 3-6, 2024. The 39 full research papers and 6 short papers presented in this book were carefully reviewed and selected from 115 submissions. The papers focus on the following topics: theorem proving and tools; SAT, SMT and Quantifier Elimination; Intuitionistic Logics and Modal Logics; Calculi, Proof Theory and Decision Procedures; and Unification, Rewriting and Computational Models. This book is open access.
    URI
    https://library.oapen.org/handle/20.500.12657/92347
    Keywords
    Automated reasoning; Logic; Logic and verification; Modal and temporal logics; Proof theory; Interactive proof systems; Description logics; Equational logic and rewriting; First-order logic; Higher order logic; Programming logic; Separation logic; Intuitionistic Logics; Deontic Logic; Non-classical Logics; Theorem Proving; Satisfiability Solving; Modal Logics; Rewriting
    DOI
    10.1007/978-3-031-63498-7
    ISBN
    9783031634987, 9783031634970, 9783031634987
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2024
    Imprint
    Springer Nature Switzerland
    Series
    Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence, 14739
    Classification
    Mathematical theory of computation
    Software Engineering
    Artificial intelligence
    Computer hardware
    Pages
    482
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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