Rigorous state-based methods : 7th International Conference, ABZ 2020, Ulm, Germany, May 27-29, 2020, Proceedings / edited by Alexander Raschke, Dominique Méry, Frank Houdek.
Material type:
TextSeries: LNCS sublibrary. SL 1, Theoretical computer science and general issues. | Lecture notes in computer science ; 12071.Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: 1 online resource (xii, 428 pages) : 675 illustrations, 66 illustrations in colorContent type: - text
- computer
- online resource
- 9783030480776
- 3030480771
- ABZ 2020
- Machine learning -- Congresses
- Machine theory -- Congresses
- Mathematical Logic and Formal Languages
- Artificial Intelligence
- Computer Systems Organization and Communication Networks
- Software Engineering
- Control Structures and Microprogramming
- Apprentissage automatique -- Congrès
- Théorie des automates -- Congrès
- Machine theory
- Machine learning
- Artificial intelligence
- Computer organization
- Logic, Symbolic and mathematical
- Microprogramming
- Software engineering
- 005.131 23
- QA8.9-10.3
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eBook
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e-Library | eBook LNCS | Available |
This book constitutes the refereed proceedings of the 7th International Conference on Rigorous State-Based Methods, ABZ 2020, which was due to be held in Ulm, Germany, in May 2020. The conference was cancelled due to the COVID-19 pandemic. The 12 full papers and 9 short papers were carefully reviewed and selected from 61 submissions. They are presented in this volume together with 2 invited papers, 6 PhD-Symposium-contributions, as well as the case study and 6 accepted papers outlining solutions to it. The papers are organized in the following sections: keynotes and invited papers; regular research articles; short articles; articles contributing to the case study; short articles of the PhD-symposium (work in progress).
Keynotes and Invited Papers -- Regular Research Articles -- Short Articles -- Articles Contributing to the Case Study -- Short Articles of the PhD-Symposium (Work in Progress)