Linear Logic in Computer Science / Edited by Thomas Ehrhard, Jean-Yves Girard, Paul Ruet, Philip Scott.
Material type: TextSeries: London Mathematical Society Lecture Note Series ; no. 316Publisher: Cambridge : Cambridge University Press, 2004Description: 1 online resource (392 pages) : digital, PDF file(s)Content type: text Media type: computer Carrier type: online resourceISBN: 9780511550850 (ebook)Subject(s): Proof theory | Logic, Symbolic and mathematicalAdditional physical formats: Print version: : No titleDDC classification: 511.3'6 LOC classification: QA9.54 | .L56 2004Online resources: Click here to access online Summary: 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.Current library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK11930 |
Title from publisher's bibliographic system (viewed on 16 Oct 2015).
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.
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