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Linear Logic in Computer Science

Linear Logic in Computer Science

by Philip Scott, Thomas Ehrhard,  Paul Ruet and others
Paperback
Publication Date: 15/11/2004

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Linear Logic is a branch of proof theory which provides refined tools for the study of the computational aspects of proofs. These tools include a duality-based categorical semantics, an intrinsic graphical representation of proofs, the introduction of well-behaved non-commutative logical connectives, and the concepts of polarity and focalisation. These various aspects are illustrated here through introductory tutorials as well as more specialised contributions, with a particular emphasis on applications to computer science: denotational semantics, lambda-calculus, logic programming and concurrency theory. The volume is rounded-off by two invited contributions on new topics rooted in recent developments of linear logic. The book derives from a summer school that was the climax of the EU Training and Mobility of Researchers project 'Linear Logic in Computer Science'. It is an excellent introduction to some of the most active research topics in the area.
ISBN:
9780521608572
9780521608572
Category:
Mathematical logic
Format:
Paperback
Publication Date:
15-11-2004
Language:
English
Publisher:
Cambridge University Press
Country of origin:
United Kingdom
Pages:
392
Dimensions (mm):
228x153x23mm
Weight:
0.52kg

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