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Context semantics, linear logic, and computational complexity
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ACM Transactions on Computational Logic (TOCL) archive
Volume 10 ,  Issue 4  (August 2009) table of contents
Article No. 25  
Year of Publication: 2009
ISSN:1529-3785
Author
Ugo Dal Lago  Università di Bologna, Bologna, Italy
Publisher
ACM  New York, NY, USA
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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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