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Netlogo breed6/14/2023 Such a system is called unstable if it tends to result in extinction for one or more species involved. This model explores the stability of predator-prey ecosystems. (For example, if you have multiple applets in differentĭirectories on the same web server, you may want to putĪ single copy of the NetLogoLite files in one central place andĬhange the archive= lines of all the HTML files to point In the HTML code to point to their actual locations. If the NetLogoLite files and your model are in differentĭirectories, you must modify the archive= and value= lines and ending with, and paste it into any HTMLįile you want. ![]() If you want, you can just take the HTML code beginning with You don't need to include everything in this file in your page. Though, so if it doesn't work from your hard drive, please try On some systems, you can test the applet locally on your computerīefore uploading it to a web server. (You can copy NetLogoLite.jar and įrom the directory where you installed NetLogo.) (WSP.nlogo), and the files NetLogoLite.jar and In order for this to work, this file, your model file Windows and Linux users may obtain the latest Java from Mac users must have Mac OS X 10.4 or higher. Java must be enabled in your browser settings. Converted from StarLogoT to NetLogo, 2001.This page was automatically generated by NetLogo 5.0.5. 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. To inquire about commercial licenses, please contact Uri Wilensky at model was created as part of the project: CONNECTED MATHEMATICS: MAKING SENSE OF COMPLEX PHENOMENA THROUGH BUILDING OBJECT-BASED PARALLEL MODELS (OBPML). To view a copy of this license, visit or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.Ĭommercial licenses are also available. This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. Center for Connected Learning and Computer-Based Modeling, Northwestern Institute on Complex Systems, Northwestern University, Evanston, IL. If you mention this model in a publication, we ask that you include these citations for the model itself and for the NetLogo software: Can you think of other ways to write this procedure? Are the results affected? RELATED MODELS This might be somewhat like a natural environment with a limited food supply. The grim reaper in the procedure death does a random harvesting of the population to keep it roughly constant. Notice that often colors can get to quite a high population but still fail to win the race. ![]() The "number" slider sets the initial number of turtles. Use the "colors" slider to select the number of competing colors. The "setup" button initializes the model. Equally important is the fact that a color can never come back once it dies out. However, because the process is random, there will usually be a series of dominant colors before one color finally wins. By statistical advantage, a dominant color becomes more likely to win the entire grid. After enough turns, a color will gain a slight dominance. If the total number of turtles is greater than the original number, then turtles are randomly killed until the original number is restored. Each turn, a turtle produces between 0 and 4 offspring. They move by wiggling randomly across the world. ![]() The model starts with a random distribution of colored turtles. The idea, explained in more detail in Dennett's "Darwin's Dangerous Idea", is that trait drifts can occur without any particular purpose or 'selecting pressure'. It shows that competing breeds of turtles, each reproducing with equal likelihood on each turn, will ultimately converge on one breed without any selection pressure forcing this convergence. ![]() This model is an example of genetic drift. Do you have questions or comments about this model?
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