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Computer Science Logic, Bertinoro : Italie (2008)
Quantitative Game Semantics for Linear Logic
Ugo Dal Lago 1, Olivier Laurent 2
(2008-09)

We present a game-based semantic framework into which the time complexity of any MELL proof can be read out of its interpretation. This gives a compositional view of the geometry of interaction framework introduced by the first author. In our model the time measure is given by means of slots, as introduced by Ghica in a recent paper. The cost associated to a strategy is polynomially related to the normalization time of the interpreted proof, in the style of a complexity-theoretical full abstraction result.
1:  Department of Computer Science
University of Bologna
2:  Preuves, Programmes et Systèmes (PPS)
CNRS : UMR7126 – Université Paris VII - Paris Diderot
Computer Science/Logic in Computer Science

Computer Science/Computational Complexity

Mathematics/Logic

Computer Science/Computer Science and Game Theory
Linear logic – Implicit computational complexity – Game semantics
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