Interactions between Causal Structures in Graph Rewriting Systems

Ioana Cristescu
(Department of Systems Biology, Harvard Medical School, Boston, USA)
Walter Fontana
(Department of Systems Biology, Harvard Medical School, Boston, USA)
Jean Krivine
(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.

In Bernd Finkbeiner and Samantha Kleinberg: Proceedings 3rd Workshop on formal reasoning about Causation, Responsibility, and Explanations in Science and Technology (CREST 2018), Thessaloniki, Greece, 21st April 2018, Electronic Proceedings in Theoretical Computer Science 286, pp. 65–78.
Published: 3rd January 2019.

ArXived at: https://dx.doi.org/10.4204/EPTCS.286.6 bibtex PDF
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