The INITIAL-DENSITY slider determines the initial density of cells that are alive. A blinker is a block of three cells (either up and down or left and right) that rotates between horizontal and vertical orientations. This glider will wiggle across the world, retaining its shape. The glider is composed of 5 cells which form a small arrow-headed shape, like this: There are certain recurring shapes in Life, for example, the "glider" and the "blinker". This is done in parallel and continues forever. If there are exactly three alive neighbors, the cell becomes alive. If there are 2 alive neighbors, the cell remains in the state it is in. If there are more than three alive neighbors, the cell dies. If there are less than two alive neighbors, then the cell dies. Each cell checks the state of itself and its eight surrounding neighbors and then sets itself to either alive or dead. According to specified rules, each cell will be alive or dead at the next time step. Each cell can be either "alive" or "dead." This is called the "state" of the cell. It can be thought of as a board which is divided into cells (such as square cells of a checkerboard). This particular cellular automaton is called The Game of Life.Ī cellular automaton is a computational machine that performs actions based on certain rules. This program is an example of a two-dimensional cellular automaton. You can also Try running it in NetLogo Web
#NETLOGO MODELING COMMONS DOWNLOAD#
If you download the NetLogo application, this model is included. Ifelse (patch-value-right > 0.Sample Models/Computer Science/Cellular Automata If (d > max-agents-in-panic-emotional) Īsk patches Set waiting-for waiting-for + 1 set moving-for 0 set state "wait" Ifelse not any? other turtles-on patch-ahead speed If (prob >= r) ] do with prob 0.75Įnd to-report get-direction-to-dest If (rational? and in-panic-for = r) ] do with prob 0.75 If (rational? and in-panic-for > 0 and has-changed?) [ set prob (1 / (9 + (0.644 ^ -0))) no change CHANGE with prob 0 If (rational? and in-panic-for 0 and not has-changed?) [ Set prob (1 / (9 + (0.644 ^ -0))) no change CHANGE WITH with prob 0.1 set prob (1 / (9 + (0.644 ^ -0))) no change CHANGE WITH with prob 0 set prob int (prob * 10) if (prob = r) Set curr-dir get-direction-to-dest curr-exit sets up persons, based on 1: number of persons 2: rational persons % creates environment with 2 exits (left and right), environment type: can be 1, 2 or 3 1 is symmetric, 2 is asymmetric, and 3 is (one exit) invisible, and floor field Updated? initial-target-exit dom spread-update-left? spread-update-right? helping environment varaibles
Patches-own [structure-type walkable? exit-id doms steps-to-exits patch-value-left patch-value-right variables representing environment Speed using-left using-right last-left last-right max-agents-in-panic-rational max-agents-in-panic-emotional max-panic-value Tleft tright total number of persons exitting from left and right To appear: "An Agent-Based Model of Crowd Evacuation: Combining Individual, Social and Technological Aspects" in ACM SIGSIM PADS 2020 scheduled on June 2020 ( ).īreed agents that need to exit NETLOGO FEATURES RELATED MODELS CREDITS AND REFERENCES Use different environment types, difffernt population densities and % of rational agents and three exit behavior strategies. GO: Let the persons exit using one of the two exits, left or right, based on one of the three strategies used.
SETUP: Sets up the environment, and generates two types of agents (persons). Our model explores relationship of panic (or not panic) with decision-making while agents are exiting from one of the two exits. Based on the simulation results, a couple of useful recommendations are also given. By simulating these models, an insight into the effectiveness of several interesting evacuation scenarios is provided. In this paper, we addressed this challenge by combining individual, social and technological models of people during evacuation, while pivoting all these aspects on a common agent-based modeling framework and a grid-based hypothetical environment. However, incorporation of different aspect categories in a unified modeling space is a challenge. Evacuation modeling and simulation is used to analyze various possible outcomes as different scenarios unfold, typically when the complexity of scenario is high. Do you have questions or comments about this model?ĭevelopment of crowd evacuation systems is a challenge due to involvement of complex interrelated aspects, diversity of involved individuals and/or environment, and lack of direct evidence.
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