We construct a parallel stochastic dynamics with invariant measure converging to the Gibbs measure of the 2-d low-temperature Ising model. The proof of such convergence requires a polymer expansion ...based on suitably defined Peierls-type contours.
Cellular automata (CA) models for grain growth have been widely used, but the use of structured grid leads to anisotropy when nuclei cell begin to trap its neighbour cells, which may interfere with ...original preferential growth orientation. In this paper, CA neighbourhood configurations and trapping rules with strong anisotropy and stochastic preferential growth orientation were studied. A quantitative evaluation model was proposed to analyse the size, morphology and distribution of grain structure with an average diameter, shape factor, Feret diameter and Feret angle. The relationship between the fundamental CA model and grain structure was established. Characteristic parameters of different configurations were extracted, which helps the selection of different CA models.
The spatial distribution of forest management activities has become increasingly important with, most notably, rising concerns for biodiversity. Addressing both timber production and non-timber goals ...requires planning tools that support spatially explicit decision-making. The paper examines the capability of a co-evolutionary cellular automata (CA) approach to address forest planning objectives that are both spatial and temporal with global constraints. In this decentralized self-organizing planning framework, each forest stand and its associated management treatment over the planning horizon is represented as a cellular automaton. The landscape management goals are achieved through a co-evolutionary decision process between interdependent stands. A novel, computationally efficient CA algorithm for asynchronous updating of stand states is developed. The specific problem considered in the paper is maximization of cumulative harvest volume and amount of clustered late-seral forest. The global constraints considered are stable harvest flow and minimum amount of late-seral stands in each period of the planning horizon. Applied to a test area from the Northeastern forest region of Ontario, Canada, the model demonstrates short computation time and consistent results from multiple runs. It also compares favorably with outputs from a simulated annealing search. The CA-based algorithm developed in the paper successfully identifies sustainable forest outputs over the planning horizon. It shows sensitivity to both local constraints, strategic goals and strategic constraints and generates spatially explicit forest plans.
In a sudden natural disaster, a large number of people may get detained within a hazardous space. In recent years, the number of such incidents has increased in China, which motivates the research of ...artificial intelligence-based simulations of emergency rescue and evacuation. This paper proposesam ethodological approach that combined with ant colony optimization and Cellular automata integrating simulation and optimizationto study the complexity and randomness characteristics of human behaviors under the emergency evacuation, for solving an optimal emergency evacuation planning problem in an emergency shelter. The path residual pheromone and heuristic factors of the Ant colony algorithm in this integrated model are treated as personal behavior difference and aggregation, which can be treated as the herb behavior factors and the shortest path first factors,reflecting the randomness and interaction in the process of population evacuation. Through using ant colony algorithm to calculate the transition probability of the interaction among the neighboring cells, and updating the pheromone through taboo list based on local optimal path of the ant colony, the cells can finally finish the simulation of safe evacuation under the principle of optimal transition rules. The method could effectively simulate the delayed population and achieve the simulation of the population distribution in the evacuation area when the natural disaster happens. It would also offer a scientific reference for the research of population emergency evacuation.
In a drop-off area of railway station, there is serious interference between vehicles and between pedestrians and vehicles, which greatly affects the traffic efficiency of the area, and leads to ...traffic safety problems. At present, however, there is a lack of research on the interference between vehicles and pedestrians in the drop-off area. To deal with the problem of interference between vehicles and pedestrians, this paper proposes an interference model based on cellular automata between vehicles and pedestrians in the drop-off area. The model mainly consists of a parking model and a motion model for vehicles, and a decision model and a motion model for pedestrians. The model is calibrated by the traffic flow in the drop-off area of Beijingxi Railway Station, after which the traffic characteristics of the drop-off area are analyzed: Traffic volume increases with the increase of vehicle arrival rate, and then the trend gradually tends to be steady to 1 090 pcu/h; vehicles in the outside lane have a greater influence on traffic volume in this area; the probability of conflict event on the unsignalized crosswalks in the drop-off area is about 5.13%; the delay of the outside lane vehicle is smaller than vehicle of the inboard lane, and the pedestrian delay is not simply multiplied as the number of crossing lanes increases.
Live colors: Visualizing celluar automata Rhee, Hyeri; Jung, Moon-Ryul; Kim, Sook-Jin
2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT),
2017-Aug.
Conference Proceeding
We present a computer generated artwork called Live Colors implemented by using two dimensional Cellular Automata. Each cell of the automata encodes a color. The main goal of this artwork is to ...generate color patterns starting from the initial images. This paper discusses the concepts, design, and implementation of the system. The basic idea of color pattern generation rules is growing regions around each cell. Three automata are presented. The rules of each automaton consist of two steps. Given each given cell, the first step chooses a neighbor cell for region growing, that is, a neighbor that would belong to the same region as the given cell. The second step determines the color of the given cell out of the color of the chosen neighbor. The first and second automata tend to generate soft regions and boundaries. The third automaton tends to generate sharp regions and boundaries. The images generated by the cell transition rules create various colors and patterns difficult to imagine when mixing colors and drawing patterns by hands. Our automata are examples of cellular automata cleverly designed for growing color regions in the style of colorfield painting and hard-edge painting.
Fractal Cellular Automata Model and Simulation Fenghuan Su; Lingkan Yao
2009 International Conference on Computational Intelligence and Software Engineering,
2009-Dec.
Conference Proceeding
Fractal theory is applied to study fractal characteristics of sand-pile structure. It has been found that with the gradual increase of the non-uniform degree, the one-sided slope sand-pile experiment ...presented the different phenomena and statistical results. In order to explain this phenomenon, the cellular automata model describing non-uniform coefficient and fractal fabric characteristics was designed. Based on the ideal of bi-stable model, there were two kinds of cellular with different action rules and different ranges, in which one submitted to fractal distribution, the other submitted to interval arrangement. Through simulation it was found sand-pile model took on Selforganized criticality (SOC) when cellular arrangement submitted to fractal distribution. Simulation result was the same as assumption. The criterion of SOC based on the simulation of fractal cellular automata model was discussed.
Models play an important role in studying invasion mechanism of exotic plants. By integrating Cellular Automata and Neutral Landscape Modeling, the model for plant invasion system was built to study ...the effects of biotic and abiotic factors on the spatial spreading of exotic plant. The invasion processes of plant with diverse life history strategies in varied landscapes were simulated, and related factors were analyzed. The results showed that invasion rate and final area occupied were affected by species traits, e.g. fecundity, dispersal mechanism, spatial pattern of available habitats, and resistance of native community. The author implied that land managers should consider the different stages during an invasion and take suitable measures against the invasive plants, and prevention was the first priority than control after the invasion happened.
Digital creative industry has exhibited the expansive potential in future's economy. Its organizational pattern and inherent mechanism as well as the industrial environment are urgently expected to ...be explored for the promotion on its development. From the view of GEC (Generalized Ecological Community), this paper presented an ecological model to describe the community in creative industry, and thereof studied the system modeling and compute simulating methodology for analyzing its development along with the related factors. Based on those researches, promotion suggestions on digital creative industry were presented by this paper.
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