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The Computational Meaning of Probabilistic Coherence Spaces

Published: 21 June 2011 Publication History

Abstract

We study the probabilistic coherent spaces--a denotational semantics interpreting programs by power series with non negative real coefficients. We prove that this semantics is adequate for a probabilistic extension of the untyped $\lambda$-calculus: the probability that a term reduces to ahead normal form is equal to its denotation computed on a suitable set of values. The result gives, in a probabilistic setting, a quantitative refinement to the adequacy of Scott's model for untyped $\lambda$-calculus.

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  • (2020)The Benefit of Being Non-Lazy in Probabilistic λ-calculusProceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3373718.3394806(327-340)Online publication date: 8-Jul-2020
  • (2020)Cones as a model of intuitionistic linear logicProceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3373718.3394758(370-383)Online publication date: 8-Jul-2020
  • (2019)Lambda calculus and probabilistic computationProceedings of the 34th Annual ACM/IEEE Symposium on Logic in Computer Science10.5555/3470152.3470186(1-13)Online publication date: 24-Jun-2019
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  1. The Computational Meaning of Probabilistic Coherence Spaces

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    Published In

    cover image Guide Proceedings
    LICS '11: Proceedings of the 2011 IEEE 26th Annual Symposium on Logic in Computer Science
    June 2011
    379 pages
    ISBN:9780769544120

    Publisher

    IEEE Computer Society

    United States

    Publication History

    Published: 21 June 2011

    Author Tags

    1. Adequacy Theorem
    2. Coherence Spaces
    3. Denotational Semantics
    4. Linear Logic
    5. Probabilistic Lambda Calculus

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    View all
    • (2020)The Benefit of Being Non-Lazy in Probabilistic λ-calculusProceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3373718.3394806(327-340)Online publication date: 8-Jul-2020
    • (2020)Cones as a model of intuitionistic linear logicProceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3373718.3394758(370-383)Online publication date: 8-Jul-2020
    • (2019)Lambda calculus and probabilistic computationProceedings of the 34th Annual ACM/IEEE Symposium on Logic in Computer Science10.5555/3470152.3470186(1-13)Online publication date: 24-Jun-2019
    • (2018)Probabilistic Böhm Trees and Probabilistic SeparationProceedings of the 33rd Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3209108.3209126(649-658)Online publication date: 9-Jul-2018
    • (2018)Full Abstraction for Probabilistic PCFJournal of the ACM10.1145/316454065:4(1-44)Online publication date: 26-Apr-2018
    • (2017)Measurable cones and stable, measurable functions: a model for probabilistic higher-order programmingProceedings of the ACM on Programming Languages10.1145/31581472:POPL(1-28)Online publication date: 27-Dec-2017
    • (2014)On coinductive equivalences for higher-order probabilistic functional programsACM SIGPLAN Notices10.1145/2578855.253587249:1(297-308)Online publication date: 8-Jan-2014
    • (2014)On coinductive equivalences for higher-order probabilistic functional programsProceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages10.1145/2535838.2535872(297-308)Online publication date: 11-Jan-2014
    • (2013)Weighted Relational Models of Typed Lambda-CalculiProceedings of the 2013 28th Annual ACM/IEEE Symposium on Logic in Computer Science10.1109/LICS.2013.36(301-310)Online publication date: 25-Jun-2013

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