The simulation needs a Java-Plugin (1.3.x) installed for your internet browser. If you do not already have one installed, the browser will prompt you to
download the Plugin from “Sun”, who is the inventor of Java. Please download the JRE (=Java runtime environment) into a directory on your computer (e.g. “c:\temp”), execute the downloaded file for installation on
your system (double-click on the file). Afterwards you will be able to reload the simulation page. Maybe you will have to restart your browser to succeed.
Run the simulation
Please click here.
Description of the simulation
This simulation is based on the simulation “sorting performed by ants”. We additionally implemented an environmental template in this simulation.
Ants collectively sort their brood in spatially different areas. They discriminate between different stages of the brood, which need different incubation
temperatures in their local environment. As the diurnal rhythm of the temperature gradient in the soil changes this local temperature, the ants collectively shift the brood upwards or downwards in the soil. This
way, the brood is always incubated at the adequate temperature.
Image taken from: Bonabeau E., Dorigo M. and Theraulaz G. (1999) Swarm intelligence. From natural to artificial systems. Santa Fee Institute
studies in the sciences of complexity. Oxford University Press
To simulate this behavior, we introduced an environmental template with 3 concentric circles, each
causing a slight preferential drop-rate of similar colored pieces.
The slider density-of-chips sets the density of chips distributed randomly at the beginning
The slider number sets the number of ants that are used in the simulation
The sliders Puturn and turn-angle set the basic parameters of the random walk. Please note that the ants always perform simply a random walk.
The slider alpha sets the value of the parameter used in the first equation. It simply scales the interpretation of “similarity”.
The button show-template displays the template for 5 seconds and then automatically returns to the
simulation view. NOTE: Never press this button while the simulation is running. Stop the simulation before!
- Check how the number of actors and of the chip density affect the sorting speed and result.
- Study the importance of “alpha”.
This picture shows the initial distribution of chips:
This series of picture shows, how the pattern evolves:
The presented NetLogo simulation was written by:
Thomas Schmickl (2002), Department for Zoology, Karl-Franzens-University Graz, Austria, Europe, firstname.lastname@example.org, email@example.com
- Camazine S., Deneubourg J.-L., Franks N.R., Sneyd J., Theraulaz G. and Bonabeau E. (2001) Self-Organization in biological systems. Princeton
- Resnick M. (2000) Turtles, termites and traffic jams. MIT Press.
- Bonabeau E., Dorigo M. and Theraulaz G. (1999) Swarm intelligence. From natural to artificial systems. Santa Fee Institute studies in the
sciences of complexity. Oxford University Press.