作者: 完成 時間: 2025-3-21 23:45
Probabilistic Cellular Automata in the Visual Arts,er Struycken (The Netherlands, 1939). He was struck by Struycken’s black and white works “Computerstructuren” (1969), which were painted after grid patterns generated by algorithms. Geurts assumed that they must have been produced using cellular automata. He started working with Lambert Meertens at 作者: artifice 時間: 2025-3-22 02:30 作者: UNT 時間: 2025-3-22 07:53 作者: 組裝 時間: 2025-3-22 08:57 作者: 不幸的人 時間: 2025-3-22 14:23
Ising Model on the Torus and PCA Dynamics: Reversibility, Irreversibility, and Fast Tunnelinges of results about them, restricting the discussion to the nearest-neighbor Ising model. For both the weakly and strongly coupled spins, we show how it is possible to explicitly evaluate the accuracy of our approximation scheme. Moreover, in the strong coupling regime (low temperature), we show how作者: 不出名 時間: 2025-3-22 20:17 作者: 使人入神 時間: 2025-3-23 01:13 作者: conifer 時間: 2025-3-23 03:21 作者: admission 時間: 2025-3-23 05:44
Epidemic Automaton and the Eden Model: Various Aspects of Robustnessss well-known properties of Epidemic on a finite grid and its analogous on the infinite square lattice: the Eden model. This survey is intended for non-probabilists and gives a detailed study of the robustness of a cellular automaton with respect to several sources of randomness.作者: 狂怒 時間: 2025-3-23 13:03
Convergence Time of Probabilistic Cellular Automata on the Torusain critical threshold, the process converges to a state that does not depend on the initial state (ergodicity), whereas if the free parameter is below the threshold, then the process converges to a state that depends on the initial state (non-ergodicity). If one considers the corresponding model on作者: 愛哭 時間: 2025-3-23 15:55
Percolation Operators and Related Modelse connections between them by studying discrete-time approximations of a continuous-time contact processes. In particular, we look at the approximations based on both synchronous and asynchronous updating schemes. Additionally, we go on to discuss several individual-based models, which are commonly 作者: 序曲 時間: 2025-3-23 20:30 作者: 寬度 時間: 2025-3-23 23:48
A Trade-Off Between Simplicity and Robustness? Illustration on a Lattice-Gas Model of Swarmingir neighbours. This lattice-gas cellular automaton was proposed by Deutsch to mimic the self-organisation process observed in various natural systems (birds, fishes, bacteria, etc.). We explore the various patterns the self-organisation process may adopt. We observe that, according to the values of 作者: 親密 時間: 2025-3-24 05:31 作者: Recess 時間: 2025-3-24 07:30 作者: HUMP 時間: 2025-3-24 14:42 作者: minimal 時間: 2025-3-24 17:41 作者: 浮雕寶石 時間: 2025-3-24 21:55
Nazim Fatès,Vincent Chevrier,Olivier Bouréors present the distinction between the processes of re-industrialization and new industrialization. The authors have defined the features of new industrialization in the transition to the sixth technological mode, which reflect the emergence of new industries on the basis of new technologies, prima作者: infantile 時間: 2025-3-25 02:41 作者: 拋射物 時間: 2025-3-25 06:19 作者: 宣誓書 時間: 2025-3-25 08:50 作者: 形容詞 時間: 2025-3-25 14:32
Phase Transitions of Cellular Automata phase transitions of first and second order, damage spreading, dilution of deterministic rules, asynchronism-induced transitions, synchronization phenomena, chaotic phase transitions and the influence of the topology.作者: 口音在加重 時間: 2025-3-25 18:16 作者: Lymphocyte 時間: 2025-3-25 21:07
Book 2018d computer science. PCA are extensions of the well-known Cellular Automata models of complex systems, characterized by random updating rules. Thanks to their probabilistic component, PCA offer flexible computing tools for complex numerical constructions, and realistic simulation tools for phenomena 作者: 下邊深陷 時間: 2025-3-26 00:29 作者: Coronary-Spasm 時間: 2025-3-26 08:04 作者: 有節(jié)制 時間: 2025-3-26 10:34
A Trade-Off Between Simplicity and Robustness? Illustration on a Lattice-Gas Model of Swarmingnalyse this surprising diversity of patterns with numerical simulations. We ask where this richness comes from. Is it an intrinsic characteristic of the model or a mere effect of the modelling simplifications?作者: investigate 時間: 2025-3-26 16:26
Ising Model on the Torus and PCA Dynamics: Reversibility, Irreversibility, and Fast Tunneling our procedure may drastically improve the known results about the convergence of the system to the stationary distribution. An important ingredient in this context is the use of an irreversible dynamics, which let new interesting states (the so-called Ising waves) arise.作者: DUST 時間: 2025-3-26 17:34 作者: 鞭打 時間: 2025-3-26 22:09
An Example of Computation of the Density of Ones in Probabilistic Cellular Automata by Direct Recursionse words at the previous time step. One can then set up and solve a recursion for block probabilities. We demonstrate an example of such PCA, which can be viewed as a simple model of diffusion of information or spread of rumours. Expressions for the density of ones are obtained for this rule using the proposed method.作者: overwrought 時間: 2025-3-27 01:30
Percolation Operators and Related Modelsused to model different biological phenomena. Specifically, we focused on models with absorbing states that, have spatially non-homogenous stationary states, or that have shown to be bi-stable. More generally, we aim to demonstrate the challenges associated with reconciling different mathematical descriptions of natural phenomena.作者: 影響 時間: 2025-3-27 07:50 作者: 忙碌 時間: 2025-3-27 10:32
Synchronization in Interacting Reinforced Stochastic ProcessesWe present a family of interacting stochastic processes introduced in?[.] whose individual dynamics follow a reinforcement updating rule. This is a natural generalization of PCA dynamics on a continuous spin space. The interaction changes the long-time behavior of each process and the speed of evolution, producing a phenomenon of synchronization.作者: forestry 時間: 2025-3-27 17:31 作者: CODA 時間: 2025-3-27 18:51
https://doi.org/10.1007/978-3-319-65558-1high-dimensional interacting stochastic systems; dynamical systems; multiscale models; complex systems;
