Category Theory and Computer Science: 6th International Conference, CTCS '95, Cambridge, United Kingdom, August 7 - 11, 1995. Proceedings: Lecture Notes in Computer Science, cartea 953
Editat de David Pitt, David E. Rydeheard, Peter Johnstoneen Limba Engleză Paperback – 21 iul 1995
The 15 revised full papers included in the volume document the exploitation of links between logic and category theory leading to a solid basis for much of the understanding of the semantics of computation. Notable amongst other advances is the introduction of linear logic and other substructural logics, providing a new approach to proof theory. Further aspects covered are semantics of lambda calculi and type theories, program specification and development, and domain theory.
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Specificații
ISBN-13: 9783540601647
ISBN-10: 3540601643
Pagini: 268
Ilustrații: IX, 259 p.
Dimensiuni: 155 x 233 x 14 mm
Greutate: 0.39 kg
Ediția:1995
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540601643
Pagini: 268
Ilustrații: IX, 259 p.
Dimensiuni: 155 x 233 x 14 mm
Greutate: 0.39 kg
Ediția:1995
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Control structures: A model of interaction.- Convenient category of processes and simulations I: Modulo strong bisimilarity.- Dualities between nets and automata induced by schizophrenic objects.- Relational set theory.- Proof of a S.Mac Lane conjecture (extended abstract).- Effective applicative structures.- The S-replete construction.- The convex powerdomain in a category of posets realized by cpos.- Lifting as a KZ-doctrine.- Categorical fixed point calculus.- A category-theoretic treatment of a parallel algol-like language.- Categorical reconstruction of a reduction free normalization proof.- Decomposing typed lambda calculus into a couple of categorical programming languages.- V-comprehensions and P space.- A proposed categorical semantics for ML modules.