By Patrick D. Lincoln

ISBN-10: 0262121956

ISBN-13: 9780262121958

Linear common sense, first brought by means of Jean-Yves Girard in 1987 as a resource-conscious good judgment, is a refinement of classical common sense that has now matured right into a wealthy sector of energetic examine that incorporates linear common sense semantics, evidence concept, complexity, and purposes to the speculation of concurrent and dispensed platforms. This monograph investigates numerous concerns within the facts conception of linear common sense, exhibiting that linear common sense is a computational good judgment at the back of logics, that's approximately computation instead of approximately "Truth". In addressing either complexity and programming language concerns, Lincoln's major theoretical trouble is to reinforce the conceptual underpinnings essential to practice facts concept to cause approximately computation. The critical contribution is the author's research of 2 computational interpretations of linear common sense. He first demonstrates the ability of a correspondence, endorsed through Girard, among proofs and computations. Lincoln subsequent revisits the Curry-Howard correpondence among proofs and programmes, initially saw for intuitionistic good judgment, and indicates that linear good judgment provides a better measure of keep an eye on over the resource-usage of programmes.

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Extra resources for Computational Aspects of Linear Logic (Foundations of Computing Series)

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S, and at cases of Cut! S we break one package into two. This same intuition applies to the dual case involving ?. For this case, ! S, there are two possibilities, depending on whether the cut in question eliminates more than one occurrence of the cut formula from the weakened sequent. Informally, the possibilities turn on whether there is only one thing in the package. If so, we don't need the package. If there are more things in the package, we shrink the package. In the rst possibility, the cut eliminates the one occurrence of the cut formula introduced by the !

S, ? L, and 1 R are absent from this list since those rules have no non-principal formulas in their conclusions. The later analysis of principal formula cuts considers these three cases. Also, most of the following cases come in two directly analogous cases, such as R vs P L. We will only present one of each such pair of cases. R, or P L If the last rule applied in one hypothesis is R, the cut formula is not the main formula introduced by that application of R, and the cut formula 40 Chapter 2 does not begin application of ..

S In this case we make critical use of the Cut! rule. Without this extra rule of inference this reduction is especially di cult to formulate correctly, and the induction required is complicated. .. . ; A 2 ! A ! C ! A ` 1 ! ; + .. .. ; A . SCut! A ` 1 ! , and thus Cut! may apply to it. We thus produce a Cut! regardless of whether the original Cut* was a Cut or a Cut!. The ? C versus ? S case is similar. D versus ! S As for the previous ! W versus ! D) sequent. Again, informally, the two cases turn on the size of the package.

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Computational Aspects of Linear Logic (Foundations of Computing Series) by Patrick D. Lincoln

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