![]() The full copyright notice is in the Info tab.I think you're okay to convert this more or less directly to 3D without using a different primitive- random-float or random should still do the trick. [let chance-to-die (num-turtles - population-maximum) / num-turtlesĮnd Copyright 1997 Uri Wilensky. Setxy random-xcor random-ycor randomize turtle locationsĮnd to reproduce probability to reproduceĮnd kill turtles in excess of carrying capacity note that reds and blues have equal probability of dying to grim-reaper To setup clears all prior information and makes some finchesĬrt 2 this is how many finches it will create initially modifed version of Simple Birth Rates by Julia 07/20/14 Converted from StarLogoT to NetLogo, 2001. The project gratefully acknowledges the support of the National Science Foundation (REPP & ROLE programs) - grant numbers REC #9814682 and REC-0126227. This model was converted to NetLogo as part of the projects: PARTICIPATORY SIMULATIONS: NETWORK-BASED DESIGN FOR SYSTEMS LEARNING IN CLASSROOMS and/or INTEGRATED SIMULATION AND MODELING ENVIRONMENT. ![]() The project gratefully acknowledges the support of the National Science Foundation (Applications of Advanced Technologies Program) - grant numbers RED #9552950 and REC #9632612. This model was created as part of the project: CONNECTED MATHEMATICS: MAKING SENSE OF COMPLEX PHENOMENA THROUGH BUILDING OBJECT-BASED PARALLEL MODELS (OBPML). Contact Uri Wilensky for appropriate licenses for redistribution for profit. ![]() Permission to use, modify or redistribute this model is hereby granted, provided that both of the following requirements are followed:ī) this model will not be redistributed for profit without permission from Uri Wilensky. See for terms of use.Ĭopyright 1997 Uri Wilensky. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston, IL. If you mention this model in an academic publication, we ask that you include these citations for the model itself and for the NetLogo software: What if you allowed reds to sometimes have blue progeny and vice versa? How would the model dynamics be different? HOW TO CITE In this model, reds are red and blues blue and progeny of reds are always red, progeny of blues are always blue. Would population dynamics be different if these were allowed to vary independently? In this model, the original population is set to the carrying capacity (both set to CARRYING-CAPACITY). How does the saturation rate compare with the birthrate in determining the population dynamics? Try extending the model so that reds and blues have different saturation rates. In this model, once the carrying capacity has been exceeded, every member of the population has an equal chance of dying. Try running an experiment with the same settings many times.ĭoes one population always go extinct? How does the number of generations until extinction vary? EXTENDING THE MODEL How does differential birth rates affect the population dynamics?ĭoes the population with a higher birth rate always start off growing faster?ĭoes the population with a lower birth rate always end up extinct? THINGS TO TRY This way you can see the variance of the number of generations until extinction. After each extinction occurs, the world is cleared and another run begins with the same settings. This button outputs the number of ticks it takes for either the reds or the blues to die out given a particular set of values for the sliders. The RUN-EXPERIMENT button lets you experiment with many trials at the same settings. A running plot is also displayed of the number of reds, blues and total population (in green). The # BLUES and # REDS monitors display the number of reds and blues respectively. For example, a fertility of 3.4 means that each parent will have three children minimum, with a 40% chance of having a fourth child. The RED-FERTILITY and BLUE-FERTILITY sliders sets the average number of children the reds and blues have in a generation. The model is initialized to have a total population of CARRYING-CAPACITY with half the population reds and half blues. The CARRYING-CAPACITY slider sets the carrying capacity of the terrain. HOW TO USE ITĮach pass through the GO function represents a generation in the time scale of this model. The model allows you to explore how differential birth rates affect the ratio of reds to blues. When the carrying capacity of the terrain is exceeded, some agents die (each agent has the same chance of being selected for death) to maintain a relatively constant population. The reds and blues move around and reproduce according to their birth rates. There are two populations, the REDS and the BLUES. This is a simple model of population genetics. Do you have questions or comments about this model?
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