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    Automated Reasoning

    11th International Joint Conference, IJCAR 2022, Haifa, Israel, August 8–10, 2022, Proceedings

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    Contributor(s)
    Blanchette, Jasmin (editor)
    Kovács, Laura (editor)
    Pattinson, Dirk (editor)
    Language
    English
    Show full item record
    Abstract
    This volume, LNAI 13385, constitutes the refereed proceedings of the 11th International Joint Conference on Automated Reasoning, IJCAR 2022, held in Haifa, Israel, in August 2022. The 32 full research papers and 9 short papers presented together with two invited talks were carefully reviewed and selected from 85 submissions. The papers focus on the following topics: Satisfiability, SMT Solving,Arithmetic; Calculi and Orderings; Knowledge Representation and Jutsification; Choices, Invariance, Substitutions and Formalization; Modal Logics; Proofs System and Proofs Search; Evolution, Termination and Decision Prolems. This is an open access book.
    URI
    https://library.oapen.org/handle/20.500.12657/57927
    Keywords
    artificial intelligence; automata theory; computer hardware; computer networks; computer programming; computer systems; embedded systems; formal languages; formal logic; logic programming; network protocols; semantics; software architecture; software design; software engineering; theoretical computer science
    DOI
    10.1007/978-3-031-10769-6
    ISBN
    9783031107696, 9783031107696
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2022
    Imprint
    Springer
    Series
    Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence, 13385
    Classification
    Mathematical theory of computation
    Software Engineering
    Computer networking and communications
    Artificial intelligence
    Computer programming / software engineering
    Pages
    756
    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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