| Context semantics, linear logic, and computational complexity |
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ACM Transactions on Computational Logic (TOCL)
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Volume 10 , Issue 4 (August 2009)
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Article No. 25
Year of Publication: 2009
ISSN:1529-3785
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Downloads (6 Weeks): 11, Downloads (12 Months): 86, Citation Count: 0
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ABSTRACT
We show that context semantics can be fruitfully applied to the quantitative analysis of proof normalization in linear logic. In particular, context semantics lets us define the weight of a proof-net as a measure of its inherent complexity: it is both an upper bound to normalization time (modulo a polynomial overhead, independently on the reduction strategy) and a lower bound to the amount of resources needed to compute the normal form. Weights are then exploited in proving strong soundness theorems for various subsystems of linear logic, namely elementary linear logic, soft linear logic, and light linear logic.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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