Abstracting Asynchronous MultiValued Networks: An Initial Investigation
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 Dr Jason Steggles




Author(s)   Steggles LJ 
Publication type   Report 
Series Title   School of Computing Science Technical Report Series 
Year   2011 
Date   August 2011 
Report Number   1269 
Pages   21 



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Multivalued networks provide a simple yet expressive qualitative state based modelling approach for biological systems. In this paper we develop an abstraction theory for asynchronous multivalued network models that allows the state space of a model to be reduced while preserving key properties of the model. The abstraction theory therefore provides a mechanism for coping with the state space explosion problem and supports the analysis and comparison of multivalued networks. We take as our starting point the abstraction theory for synchronous multivalued networks which is based on the finite set of traces that represent the behaviour of such a model. The problem with extending this approach to the asynchronous case is that we can now have an infinite set of traces associated with a model making a simple trace inclusion test infeasible. To address this we develop a decision procedure for checking asynchronous abstractions based on using the finite state graph of an asynchronous multivalued network to reason about its trace semantics. We illustrate the abstraction techniques developed by considering a detailed case study based on a multivalued network model of the regulation of tryptophan biosynthesis in Escherichia coli. 



Institution   School of Computing Science, University of Newcastle upon Tyne 
Place Published   Newcastle upon Tyne 
URL   http://www.cs.ncl.ac.uk/publications/trs/papers/1269.pdf 
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