Modify the rules of the model to simulate different complex behaviours and observe the resulting character of a given rule set. Try to change the shape of grid and see how it affects the steady state as well as the time to reach it. Try to build various objects which don't die (using DRAW-CELLS). Is it possible for this cellular automata to be used to compute anything? How? View the PERCENTAGE CURRENT DENSITY monitor to see the current value of density of living cells. Do intializations stablize relatively quickly? Compare the same to Conway's orginal rule set. Observe how the intensity of living cells affect the population dynamics in any particular simulation. Notice how the chaotic structures gradually consdilate into large regions of living and dead cells with constantly shifting boundaries with activity which mirrors the behaviour of other regions. Observe how the population dynamics changes in each intialization and the how quickly each leads to a different stable point. If you want to draw your own pattern, use the DRAW-CELLS button and then use the mouse to "draw" and "erase" in the view.įind stable shapes that are motionless. GO-ONCE runs the model with rule set once. GO-FOREVER runs the model with rule set forever. The percentage alive cells is determined by the INITIAL-DENSITY slider. SETUP-RANDOM initializes the model with a percentage of the cells alive. The INITIAL-DENSITY slider determines the initial density of cells that are alive. It exhibits complex behavior similar to Conway's Game of Life : there exist numerous well-known guns and small oscillators as well as spaceships formed by combining oscillators in such a way that they periodically emit spaceships of various types This is done in parallel and continues forever. In this cellular automaton, a living cell survives if it has 3, 4, 6, 7, or 8 neighbors and a dead cell becomes alive when it has 3, 6, 7, or 8 neighbors (otherwise, a cell remains in the same state). 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. The day and night rule set is as follows. Although the day and night rule set is classified as a chaotic cellular automaton, it behaves very differently from Conway's original rules because of its unique properties. The rule modeled here is given the name "Day & Night" because both its states states are symmetric meaning if all states are switched if on, turn off vise versa the automata will proceed in the same manner.Īs with Conway ’s Life the automaton model here displays Class IV Behavior. Cellular automata result complex dynamics from simple rules. These are idealized models of complex systems as they consist of large network of simple components with limited communication among components and no central control. In other words, a cellular automaton can thought of as computational machine performing actions based on specified rules. This particular cellular automaton is called Day and Night.Ĭellular automata (CA) were invented in the 1940s by Stanislaw Ulam and John von Neumann to prove that self-reproduction is possible in machines and to further link biology and compuatation.Ī CA is a collection of cells arranged in a grid, such that each cell changes state as a function of time according to a defined set of rules that includes the states of neighboring cells. This program models a two-dimensional cellular automaton. If clicking does not initiate a download, try right clicking or control clicking and choosing "Save" or "Download".(The run link is disabled for this model because it was made in a version prior to NetLogo 6.0, which NetLogo Web requires.) (back to the NetLogo User Community Models) Beginners Interactive NetLogo Dictionary (BIND)
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