Interactions between Causal Structures in Graph Rewriting Systems
Graph rewrite formalisms are a powerful approach to modeling complex molecular systems. They capture the intrinsic concurrency of molecular interactions, thereby enabling a formal notion of mechanism (a partially ordered set of events) that explains how a system achieves a particular outcome given a...
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2019-01-01
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Series: | Electronic Proceedings in Theoretical Computer Science |
Online Access: | http://arxiv.org/pdf/1901.00592v1 |
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doaj-8f0a348948264815a6e6a437279282572020-11-25T01:15:32ZengOpen Publishing AssociationElectronic Proceedings in Theoretical Computer Science2075-21802019-01-01286Proc. CREST 2018657810.4204/EPTCS.286.6:13Interactions between Causal Structures in Graph Rewriting SystemsIoana Cristescu0Walter Fontana1Jean Krivine2 Department of Systems Biology, Harvard Medical School, Boston, USA Department of Systems Biology, Harvard Medical School, Boston, USA IRIF, CNRS and Paris Diderot University Graph rewrite formalisms are a powerful approach to modeling complex molecular systems. They capture the intrinsic concurrency of molecular interactions, thereby enabling a formal notion of mechanism (a partially ordered set of events) that explains how a system achieves a particular outcome given a set of rewrite rules. It is then useful to verify whether the mechanisms that emerge from a given model comply with empirical observations about their mutual interference. In this work, our objective is to determine whether a specific event in the mechanism for achieving X prevents or promotes the occurrence of a specific event in the mechanism for achieving Y. Such checks might also be used to hypothesize rules that would bring model mechanisms in compliance with observations. We define a rigorous framework for defining the concept of interference (positive or negative) between mechanisms induced by a system of graph-rewrite rules and for establishing whether an asserted influence can be realized given two mechanisms as an input.http://arxiv.org/pdf/1901.00592v1 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ioana Cristescu Walter Fontana Jean Krivine |
spellingShingle |
Ioana Cristescu Walter Fontana Jean Krivine Interactions between Causal Structures in Graph Rewriting Systems Electronic Proceedings in Theoretical Computer Science |
author_facet |
Ioana Cristescu Walter Fontana Jean Krivine |
author_sort |
Ioana Cristescu |
title |
Interactions between Causal Structures in Graph Rewriting Systems |
title_short |
Interactions between Causal Structures in Graph Rewriting Systems |
title_full |
Interactions between Causal Structures in Graph Rewriting Systems |
title_fullStr |
Interactions between Causal Structures in Graph Rewriting Systems |
title_full_unstemmed |
Interactions between Causal Structures in Graph Rewriting Systems |
title_sort |
interactions between causal structures in graph rewriting systems |
publisher |
Open Publishing Association |
series |
Electronic Proceedings in Theoretical Computer Science |
issn |
2075-2180 |
publishDate |
2019-01-01 |
description |
Graph rewrite formalisms are a powerful approach to modeling complex molecular systems. They capture the intrinsic concurrency of molecular interactions, thereby enabling a formal notion of mechanism (a partially ordered set of events) that explains how a system achieves a particular outcome given a set of rewrite rules. It is then useful to verify whether the mechanisms that emerge from a given model comply with empirical observations about their mutual interference. In this work, our objective is to determine whether a specific event in the mechanism for achieving X prevents or promotes the occurrence of a specific event in the mechanism for achieving Y. Such checks might also be used to hypothesize rules that would bring model mechanisms in compliance with observations. We define a rigorous framework for defining the concept of interference (positive or negative) between mechanisms induced by a system of graph-rewrite rules and for establishing whether an asserted influence can be realized given two mechanisms as an input. |
url |
http://arxiv.org/pdf/1901.00592v1 |
work_keys_str_mv |
AT ioanacristescu interactionsbetweencausalstructuresingraphrewritingsystems AT walterfontana interactionsbetweencausalstructuresingraphrewritingsystems AT jeankrivine interactionsbetweencausalstructuresingraphrewritingsystems |
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1725152695823630336 |