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| Content Provider | Springer Nature Link |
|---|---|
| Author | Louis, Pierre Yves |
| Copyright Year | 2015 |
| Abstract | Probabilistic cellular automata generalise CA by implementing in a synchronous way an updating rule defined through a probability. A probabilistic synchronous updating scheme does it mean an efficient parallel evolution mechanism? This article deals with the question of quantifying the effectiveness of the parallel updating. A good indicator of this effectiveness is the fraction of components whose value is updated between two time steps. Two classes of parameterised models are considered. Multiple stationary distributions may occur when an infinite number of interacting components is considered (ergodicity breaks/supercritical regime). As a consequence, these models both exhibit different dynamical regimes in the corresponding case when a finite number of sites are interacting. These two classes’ non trivial steady states are of different nature. One is a family of positive rates reversible PCA dynamics. The other one is the Stavskaja PCA dynamics. It exhibits an absorbing state. Thanks to numerical simulations, both these PCA dynamics are shown to behave nearly asynchronous when these phase transition phenomena occur. |
| Ending Page | 534 |
| Page Count | 12 |
| Starting Page | 523 |
| File Format | |
| ISSN | 15677818 |
| e-ISSN | 15729796 |
| Journal | Natural Computing |
| Issue Number | 4 |
| Volume Number | 14 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2015-09-28 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Probabilistic cellular automata Processor Architectures Random fields Systems of interacting stochastic processes Interacting random processes; statistical mechanics type models; percolation theory Theory of Computation Cellular automata Statistical Physics, Dynamical Systems and Complexity Synchronous Asynchronous updating Artificial Intelligence (incl. Robotics) Computational methods in Markov chains Evolutionary Biology Discrete dynamical systems Loss of ergodicity Phase transition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Applications |
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