Characterization of Reachable Attractors Using Petri Net Unfoldings

Thomas Chatain1, Stefan Haar1, Loïg Jezequel1, Loïc Paulevé2, and Stefan Schwoon1

1 - LSV, ENS Cachan, INRIA, CNRS, France
2 - CNRS & Laboratoire de Recherche en Informatique UMR CNRS Université Paris-Sud, 91405 Orsay Cedex, France 8623

Abstract

Attractors of network dynamics represent the long-term behaviours of the modelled system. Their characterization is therefore crucial for understanding the response and differentiation capabilities of a dynamical system. In the scope of qualitative models of interaction networks, the computation of attractors reachable from a given state of the network faces combinatorial issues due to the state space explosion. In this paper, we present a new algorithm that exploits the concurrency between transitions of parallel acting components in order to reduce the search space. The algorithm relies on Petri net unfoldings that can be used to compute a compact representation of the dynamics. We illustrate the applicability of the algorithm with Petri net models of cell signalling and regulation networks, Boolean and multi-valued. The proposed approach aims at being complementary to existing methods for deriving the attractors of Boolean models, while being generic since they apply to any safe Petri net.

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