Buch, Englisch, 415 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1320 g
Reihe: NATO Science Series II: Mathematics, Physics and Chemistry
Buch, Englisch, 415 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 1320 g
Reihe: NATO Science Series II: Mathematics, Physics and Chemistry
ISBN: 978-1-4020-0608-1
Verlag: Springer Netherlands
As society comes to rely increasingly on software for its welfare and prosperity there is an urgent need to create systems in which it can trust. Experience has shown that confidence can only come from a more profound understanding of the issues, which in turn can come only if it is based on logically sound foundations.
This volume contains contributions from leading researchers in the critical disciplines of computing and information science, mathematics, logic, and complexity. All contributions are self-contained, aiming at comprehensibility as well as comprehensiveness. The volume also contains introductory hints to technical issues, concise surveys, introductions, and various fresh results and new perspectives.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik Mathematik Mathematik Allgemein Mathematische Logik
- Mathematik | Informatik EDV | Informatik Informatik Logik, formale Sprachen, Automaten
- Mathematik | Informatik EDV | Informatik Technische Informatik Systemverwaltung & Management
- Mathematik | Informatik Mathematik Mathematik Allgemein Grundlagen der Mathematik
- Geisteswissenschaften Philosophie Philosophische Logik, Argumentationstheorie
Weitere Infos & Material
Cartesian Closed Categories of Effective Domains.- Algorithmic Game Semantics: A Tutorial Introduction.- Algebra of Networks.- Computability and Complexity from a Programming Perspective.- Logical Frameworks: A Brief Introduction.- Ludics: An Introduction.- Naïve Computational Type Theory.- Proof-Carrying Code. Design and Implementation.- Abstractions and Reductions in Model Checking.- Hoare Logic: From First-order to Propositional Formalism.- Hoare Logics in Isabelle/HOL.- Proof Theoretic Complexity.- Feasible Computation with Higher Types.
