Resource-Bound Quantification for Graph Transformation

Graph transformation has been used to model concurrent systems in software engineering, as well as in biochemistry and life sciences. The application of a transformation rule can be characterised algebraically as construction of a double-pushout (DPO) diagram in the category of graphs. We show how i...

Full description

Bibliographic Details
Main Authors: Paolo Torrini, Reiko Heckel
Format: Article
Language:English
Published: Open Publishing Association 2010-03-01
Series:Electronic Proceedings in Theoretical Computer Science
Online Access:http://arxiv.org/pdf/1003.5512v1
_version_ 1811251052835504128
author Paolo Torrini
Reiko Heckel
author_facet Paolo Torrini
Reiko Heckel
author_sort Paolo Torrini
collection DOAJ
description Graph transformation has been used to model concurrent systems in software engineering, as well as in biochemistry and life sciences. The application of a transformation rule can be characterised algebraically as construction of a double-pushout (DPO) diagram in the category of graphs. We show how intuitionistic linear logic can be extended with resource-bound quantification, allowing for an implicit handling of the DPO conditions, and how resource logic can be used to reason about graph transformation systems.
first_indexed 2024-04-12T16:13:44Z
format Article
id doaj.art-94aaca090f004d15bb013523fd071a5d
institution Directory Open Access Journal
issn 2075-2180
language English
last_indexed 2024-04-12T16:13:44Z
publishDate 2010-03-01
publisher Open Publishing Association
record_format Article
series Electronic Proceedings in Theoretical Computer Science
spelling doaj.art-94aaca090f004d15bb013523fd071a5d2022-12-22T03:25:47ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802010-03-0122Proc. LINEARITY 2009142510.4204/EPTCS.22.2Resource-Bound Quantification for Graph TransformationPaolo TorriniReiko HeckelGraph transformation has been used to model concurrent systems in software engineering, as well as in biochemistry and life sciences. The application of a transformation rule can be characterised algebraically as construction of a double-pushout (DPO) diagram in the category of graphs. We show how intuitionistic linear logic can be extended with resource-bound quantification, allowing for an implicit handling of the DPO conditions, and how resource logic can be used to reason about graph transformation systems.http://arxiv.org/pdf/1003.5512v1
spellingShingle Paolo Torrini
Reiko Heckel
Resource-Bound Quantification for Graph Transformation
Electronic Proceedings in Theoretical Computer Science
title Resource-Bound Quantification for Graph Transformation
title_full Resource-Bound Quantification for Graph Transformation
title_fullStr Resource-Bound Quantification for Graph Transformation
title_full_unstemmed Resource-Bound Quantification for Graph Transformation
title_short Resource-Bound Quantification for Graph Transformation
title_sort resource bound quantification for graph transformation
url http://arxiv.org/pdf/1003.5512v1
work_keys_str_mv AT paolotorrini resourceboundquantificationforgraphtransformation
AT reikoheckel resourceboundquantificationforgraphtransformation