International audienceA crucial question in analyzing a concurrent system is to determine its long-run behaviour, and in particular, whether there are irreversible choices in its evolution, leading into parts of the reachability space from which there is no return to other parts. Casting this problem in the unifying framework of safe Petri nets, our previous work [3] has provided techniques for identifying attractors, i.e. terminal strongly connected components of the reachability space, whose attraction basins we wish to determine. Here, we provide a solution for the case of safe Petri nets. Our algorithm uses net unfoldings and provides a map of all of the system's configurations (concurrent executions) that act as cliff-edges, i.e. any m...
Petri nets are a well-known model language for concurrent systems. The unfolding of a Petri net is a...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceUnfoldings provide an efficient way to avoid the state-space explosion due to ...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
Unfoldings provide an efficient way to avoid the state-space explosion due to interleavings of concu...
Petri nets are a well-known model language for concurrent systems. The unfolding of a Petri net is a...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceA crucial question in analyzing a concurrent system is to determine its long-r...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceUnfoldings provide an efficient way to avoid the state-space explosion due to ...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
Unfoldings provide an efficient way to avoid the state-space explosion due to interleavings of concu...
Petri nets are a well-known model language for concurrent systems. The unfolding of a Petri net is a...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...
International audienceAttractors of network dynamics represent the long-term behaviours of the model...