Labelled Deduction / Applied Logic Series Bd.17 (PDF)
(Sprache: Englisch)
Labelled deduction is an approach to providing frameworks for presenting and using different logics in a uniform and natural way by enriching the language of a logic with additional information of a semantic proof-theoretical nature.
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Labelled deduction is an approach to providing frameworks for presenting and using different logics in a uniform and natural way by enriching the language of a logic with additional information of a semantic proof-theoretical nature.
Labelled deduction systems often possess attractive properties, such as modularity in the way that families of related logics are presented, parameterised proofs of metatheoretic properties, and ease of mechanisability. It is thus not surprising that labelled deduction has been applied to problems in computer science, AI, mathematical logic, cognitive science, philosophy and computational linguistics - for example, formalizing and reasoning about dynamic `state oriented' properties such as knowledge, belief, time, space, and resources.
Labelled deduction systems often possess attractive properties, such as modularity in the way that families of related logics are presented, parameterised proofs of metatheoretic properties, and ease of mechanisability. It is thus not surprising that labelled deduction has been applied to problems in computer science, AI, mathematical logic, cognitive science, philosophy and computational linguistics - for example, formalizing and reasoning about dynamic `state oriented' properties such as knowledge, belief, time, space, and resources.
Autoren-Porträt
Luca Viganò is an assistant professor at the Institute for Computer Science of the University of Freiburg (Germany). His research focuses on the theory and applications of non-classical logics, of proof development systems, of logical frameworks, and of logics for security.
Bibliographische Angaben
- 2012, 2000, 267 Seiten, Englisch
- Herausgegeben: David Basin, M. D'Agostino, Dov M. Gabbay, Seán Matthews, Luca Viganò
- Verlag: Springer Netherlands
- ISBN-10: 9401140405
- ISBN-13: 9789401140409
- Erscheinungsdatum: 06.12.2012
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- Größe: 23 MB
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