![]() ![]() Random-poisson reports a Poisson-distributed random integer. See how different amounts of random rewiring affect the shortest path and clustering coefficient of the network: Watts-Strogatz Small World NetLogo model. Random-normal reports a normally distributed random floating point number. However, random and random-normal differ in the. (Note: for results with a given mean and variance, use inputs as follows: alpha = mean * mean / variance lambda = 1 / (variance / mean).) random-normal is similar to the primitive random, in that it randomly generates and reports a number. Random-gamma reports a gamma-distributed random floating point number as controlled by the floating point alpha and lambda parameters. View, run, and discuss the Urban Suite - Pollution model, written by Uri Wilensky. Here is some code for a model in which breeds of turtles move randomly within their home regions but if their next step. It is equivalent to (- mean) * ln random-float 1.0. Random-exponential reports an exponentially distributed random floating point number. ![]() (The standard deviation may not be negative.) View, run, and discuss the MalansonReslerJTB2014 model, written by George Malanson. Reports an accordingly distributed random number with the mean and, in the case of the normal distribution, the standard-deviation. NetLogo programmers typically just call these reporters. (Function literals are also called anonymous functions, function expressions, lambdas, or tasks.) The present section focuses on reporter procedures. Each subsequent ant follows the ant ahead of it in the same manner. NetLogo offers two ways to create a function: as a reporter procedure, or as a function literal. The leader ant moves towards the food along a random path after a small delay, the second ant in the line follows the leader by heading directly towards where the leader is located. You can get a triangle-shaped distribution of results very simply just by summing two calls to random-float: observer> clear-plot set-plot-pen-interval 0.Random-exponential 1.2.1 random-gamma 2.0 random-normal 1.2.1 random-poisson 1.2.1 random-exponential mean random-gamma alpha lambda random-normal mean standard-deviation random-poisson mean This project models the behavior of ants following a leader towards a food source. Observer> clear-plot set-plot-pen-interval 0.01 set-plot-x-range -0.1 1.1Īnother solution is to ask yourself whether you really need a bell curve, or whether a triangle-shaped distribution would be just fine. This avoids the spikes at the boundaries: to-report random-normal-in-bounds Observer> histogram n-values 1000000 Īnother possible solution, as Marzy describes in the question itself, is to discard any out-of-bounds results random-normal gives you and just keeping trying again until you get an in-bounds result. ![]() The Modeling Commons contains more than 2,000 other NetLogo models, contributed by modelers around the world. ![]() Note that this approach creates spikes at the boundaries of the range: observer> clear-plot set-plot-pen-interval 0.01 set-plot-x-range -0.1 1.1 View, run, and discuss the Genetic Drift and Natural Selection model, written by lin xiang. One possible solution is to clamp the output of random-normal within boundaries, as in Matt's answer. Īs you've discovered, random-normal can be problematic because the result you get back can be literally any number. OUTPUT is * 67 times out of 100000000 Time*Ħ7 is biggest one I got, I got 58, 51. Set X one-of (list (X-Of-Mother) (X-Of-Mother + 0.1) (X-Of-Mother - 0.1) (random-float 1))Ĭurrently I have to check if X of child turtle is always within range by something like this: if X > 1 I have a few variables which can be inherited to child agents by a variation of + 0.1 and -0.1 or without any changes, or random again, What I have done is like this: (The code is just an example) to reproduce Agents Procedures Variables Tick counter Colors Ask Agentsets Breeds Buttons Lists Math Random numbers Turtle shapes Link shapes View updates. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |