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Automated Deduction – CADE 28
- Publication Year :
- 2021
- Publisher :
- Springer Nature; Springer International Publishing, 2021.
-
Abstract
- 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.
- Subjects :
- 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
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-030-79876-5
3-030-79876-3 - ISBNs :
- 9783030798765 and 3030798763
- Database :
- OAPEN Library
- Notes :
- ONIX_20210714_9783030798765_26, , https://www.springer.com/9783030798765
- Publication Type :
- eBook
- Accession number :
- edsoap.20.500.12657.50048
- Document Type :
- book
- Full Text :
- https://doi.org/10.1007/978-3-030-79876-5