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oapen-20.500.12657-50048
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dspace
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oapen-20.500.12657-500482021-07-21T04:18:27Z Automated Deduction – CADE 28 Platzer, André Sutcliffe, Geoff Artificial Intelligence Mathematical Logic and Formal Languages Logics and Meanings of Programs Software Engineering Formal Languages and Automata Theory Computer Science Logic and Foundations of Programming automata theory boolean functions computer programming first order logic formal languages formal logic logic programming model checking program verification semantics software architecture software design software quality software verification theorem provers theorem proving Mathematical theory of computation Computer programming / software engineering Computer architecture & logic design bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence bic Book Industry Communication::U Computing & information technology::UY Computer science::UYA Mathematical theory of computation bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMZ Software Engineering This open access book constitutes the proceeding of the 28th International 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 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. 2021-07-14T09:58:54Z 2021-07-14T09:58:54Z 2021 book ONIX_20210714_9783030798765_26 9783030798765 https://library.oapen.org/handle/20.500.12657/50048 eng Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence application/pdf n/a 978-3-030-79876-5.pdf https://www.springer.com/9783030798765 Springer Nature Springer International Publishing 10.1007/978-3-030-79876-5 10.1007/978-3-030-79876-5 6c6992af-b843-4f46-859c-f6e9998e40d5 9783030798765 Springer International Publishing 12699 650 open access
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| institution |
OAPEN
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DSpace
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| language |
English
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| description |
This open access book constitutes the proceeding of the 28th International 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 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.
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| title |
978-3-030-79876-5.pdf
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| spellingShingle |
978-3-030-79876-5.pdf
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| title_short |
978-3-030-79876-5.pdf
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| title_full |
978-3-030-79876-5.pdf
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| title_fullStr |
978-3-030-79876-5.pdf
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| title_full_unstemmed |
978-3-030-79876-5.pdf
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| title_sort |
978-3-030-79876-5.pdf
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| publisher |
Springer Nature
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| publishDate |
2021
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| url |
https://www.springer.com/9783030798765
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| _version_ |
1771297624853315584
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