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  1. 10 de may. de 2024 · The 30th International Workshop on Cellular Automata and Discrete Complex Systems will take place between 22 July, 2024 and 24 July, 2024 at Durham University. These Automata workshops aim to establish and maintain a permanent, international, multidisciplinary forum for the collaboration of researchers in the field of Cellular ...

  2. 11 de may. de 2024 · Cellular Automata are used to model and simulate complex systems and phenomena by observing how patterns and behaviors emerge from the interactions of simple individual cells. CA has applications in diverse fields, including physics, biology, and computer science.

  3. 15 de may. de 2024 · In this part, we first revisit the relationship between deterministic cellular automata (DCA) and plaquette models without randomness. Subsequently, we map the RTPM and RXPM models to two distinct types of randomized cellular automata: the probabilistic cellular automaton (PCA) and cellular automaton with random impurity (CAwRI).

  4. 21 de may. de 2024 · Get access. More. Abstract. The use of cellular automata (CA) is essential for exploring future urban growth scenarios in spatial planning. However, modeling polycentric urbanization processes with CA is still challenging due to the presence of spatial spillover effects arising from spatial interactions between different regions.

  5. Hace 3 días · One-dimensional cellular automata can simulate Turing machines with a polynomial-time slowdown, trivially by having a large enough set of states (or, equivalently, neighbourhood size) and storing the symbols, state, and tape head position of the Turing machine being simulated as states of the automaton 2 2 2 With a more sophisticated reasoning, one can prove that the rule 110 automaton can ...

  6. 14 de may. de 2024 · Plaquette Models, Cellular Automata, and Measurement-induced Criticality. We present a class of two-dimensional randomized plaquette models, where the multi-spin interaction term, referred to as the plaquette term, is replaced by a single-site spin term with a probability of 1 − p.

  7. 5 de may. de 2024 · Neural Cellular Automata (NCA) models are trainable variations of traditional Cellular Automata (CA). Emergent motion in the patterns created by NCA has been successfully applied to synthesize dynamic textures. However, the conditions required for an NCA to display dynamic patterns remain unexplored. Here, we investigate the relationship ...

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