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Full Abstraction for Signal Flow Graphs

Published: 14 January 2015 Publication History

Abstract

Network theory uses the string diagrammatic language of monoidal categories to study graphical structures formally, eschewing specialised translations into intermediate formalisms. Recently, there has been a concerted research focus on developing a network theoretic approach to signal flow graphs, which are classical structures in control theory, signal processing and a cornerstone in the study of feedback. In this approach, signal flow graphs are given a relational denotational semantics in terms of formal power series.
Thus far, the operational behaviour of such signal flow graphs has only been discussed at an intuitive level. In this paper we equip them with a structural operational semantics. As is typically the case, the purely operational picture is too concrete -- two graphs that are denotationally equal may exhibit different operational behaviour. We classify the ways in which this can occur and show that any graph can be realised -- rewritten, using the graphical theory, into an executable form where the operational behavior and the denotation coincides.

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Cited By

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  • (2022)High-level axioms for graphical linear algebraScience of Computer Programming10.1016/j.scico.2022.102791218(102791)Online publication date: Jun-2022
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Published In

cover image ACM SIGPLAN Notices
ACM SIGPLAN Notices  Volume 50, Issue 1
POPL '15
January 2015
682 pages
ISSN:0362-1340
EISSN:1558-1160
DOI:10.1145/2775051
  • Editor:
  • Andy Gill
Issue’s Table of Contents
  • cover image ACM Conferences
    POPL '15: Proceedings of the 42nd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages
    January 2015
    716 pages
    ISBN:9781450333009
    DOI:10.1145/2676726
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 January 2015
Published in SIGPLAN Volume 50, Issue 1

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Author Tags

  1. full abstraction
  2. props
  3. signal flow graphs
  4. string diagrams
  5. structural operational semantics

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Cited By

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  • (2023)Semantics for a Lambda Calculus for String DiagramsSamson Abramsky on Logic and Structure in Computer Science and Beyond10.1007/978-3-031-24117-8_26(973-1003)Online publication date: 2-Aug-2023
  • (2022)Monoidal Streams for Dataflow ProgrammingProceedings of the 37th Annual ACM/IEEE Symposium on Logic in Computer Science10.1145/3531130.3533365(1-14)Online publication date: 2-Aug-2022
  • (2022)High-level axioms for graphical linear algebraScience of Computer Programming10.1016/j.scico.2022.102791218(102791)Online publication date: Jun-2022
  • (2021)Bialgebraic foundations for the operational semantics of string diagramsInformation and Computation10.1016/j.ic.2021.104767(104767)Online publication date: May-2021
  • (2020)Calculational Proofs in Relational Graphical Linear AlgebraFormal Methods: Foundations and Applications10.1007/978-3-030-63882-5_6(83-100)Online publication date: 19-Nov-2020
  • (2020)ARx: Reactive Programming for Synchronous ConnectorsCoordination Models and Languages10.1007/978-3-030-50029-0_3(39-56)Online publication date: 10-Jun-2020
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  • (2019)Differentiable causal computations via delayed traceProceedings of the 34th Annual ACM/IEEE Symposium on Logic in Computer Science10.5555/3470152.3470168(1-12)Online publication date: 24-Jun-2019
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  • (2018)Generalized relations in linguistics & cognitionTheoretical Computer Science10.1016/j.tcs.2018.03.008752(104-115)Online publication date: Dec-2018
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