Normalisation Control in Deep Inference via Atomic Flows

We introduce `atomic flows': they are graphs obtained from derivations by tracing atom occurrences and forgetting the logical structure. We study simple manipulations of atomic flows that correspond to complex reductions on derivations. This allows us to prove, for propositional logic, a new an...

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Main Authors: Alessio Guglielmi, Tom Gundersen
Format: Article
Language:English
Published: Logical Methods in Computer Science e.V. 2008-03-01
Series:Logical Methods in Computer Science
Subjects:
Online Access:https://lmcs.episciences.org/1081/pdf
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author Alessio Guglielmi
Tom Gundersen
author_facet Alessio Guglielmi
Tom Gundersen
author_sort Alessio Guglielmi
collection DOAJ
description We introduce `atomic flows': they are graphs obtained from derivations by tracing atom occurrences and forgetting the logical structure. We study simple manipulations of atomic flows that correspond to complex reductions on derivations. This allows us to prove, for propositional logic, a new and very general normalisation theorem, which contains cut elimination as a special case. We operate in deep inference, which is more general than other syntactic paradigms, and where normalisation is more difficult to control. We argue that atomic flows are a significant technical advance for normalisation theory, because 1) the technique they support is largely independent of syntax; 2) indeed, it is largely independent of logical inference rules; 3) they constitute a powerful geometric formalism, which is more intuitive than syntax.
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spelling doaj.art-702e584ed2fd472caebe15f5ab16f6222024-03-08T08:52:03ZengLogical Methods in Computer Science e.V.Logical Methods in Computer Science1860-59742008-03-01Volume 4, Issue 110.2168/LMCS-4(1:9)20081081Normalisation Control in Deep Inference via Atomic FlowsAlessio Guglielmihttps://orcid.org/0000-0002-7234-2347Tom GundersenWe introduce `atomic flows': they are graphs obtained from derivations by tracing atom occurrences and forgetting the logical structure. We study simple manipulations of atomic flows that correspond to complex reductions on derivations. This allows us to prove, for propositional logic, a new and very general normalisation theorem, which contains cut elimination as a special case. We operate in deep inference, which is more general than other syntactic paradigms, and where normalisation is more difficult to control. We argue that atomic flows are a significant technical advance for normalisation theory, because 1) the technique they support is largely independent of syntax; 2) indeed, it is largely independent of logical inference rules; 3) they constitute a powerful geometric formalism, which is more intuitive than syntax.https://lmcs.episciences.org/1081/pdfmathematics - logiccomputer science - logic in computer sciencef.4.1
spellingShingle Alessio Guglielmi
Tom Gundersen
Normalisation Control in Deep Inference via Atomic Flows
Logical Methods in Computer Science
mathematics - logic
computer science - logic in computer science
f.4.1
title Normalisation Control in Deep Inference via Atomic Flows
title_full Normalisation Control in Deep Inference via Atomic Flows
title_fullStr Normalisation Control in Deep Inference via Atomic Flows
title_full_unstemmed Normalisation Control in Deep Inference via Atomic Flows
title_short Normalisation Control in Deep Inference via Atomic Flows
title_sort normalisation control in deep inference via atomic flows
topic mathematics - logic
computer science - logic in computer science
f.4.1
url https://lmcs.episciences.org/1081/pdf
work_keys_str_mv AT alessioguglielmi normalisationcontrolindeepinferenceviaatomicflows
AT tomgundersen normalisationcontrolindeepinferenceviaatomicflows