Farsi / Persian
NetLogo Models Library:
This project models the behavior of ants following a leader towards a food source. 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. Each subsequent ant follows the ant ahead of it in the same manner.
Even though the leader may take a very circuitous path towards the food, the ant trail, surprisingly, adopts a smooth shape. While it is not yet clear if this model is a biologically accurate model of ant behavior, it is an interesting mathematical exploration of the emergent behavior of a series of agents following each other serially.
The SETUP button initializes the model. A brown ant nest is placed on the left side of the world. Inside it are a number of ants (yellow) determined by the NUM-ANTS slider. On the right hand of the world is an orange source of food.
The GO button starts the ants moving. The leader ant (turtle 0) is set in motion roughly in the direction of the food. It wiggles as it moves. That is, it does not head directly towards the food, but changes its heading a random amount to the left or right before it takes each step.
The maximum amount the leader ant can wiggle at each step (and therefore the raggedness of the leader ant's path) is governed by the LEADER-WIGGLE-ANGLE slider. When the leader ant gets close enough to the food to "smell" it, it stops wiggling and heads directly for the food. The leader ant leaves a red trace as it moves.
Each subsequent ant follows the ant ahead of it by heading directly towards it before it takes each step. The follower ants do not leave a trace. The yellow line of ants, however, traces out a curve in the drawing. The last ant to go leaves a blue trace.
The amount of time between ants departing their nest is governed by the START-DELAY slider (plus some random factor).
The ANTS-RELEASED monitor shows you how many ants have left the nest. The other monitor shows you the heading of the lead ant.
How does the shape of the ant line change over time?
How does the path of the initial ant compare with the path of the final ant?
Try varying the maximum wiggle angle (LEADER-WIGGLE-ANGLE). How does that affect the shape of initial and final ant lines?
Try varying the delay. How does that affect the shape of initial and final ant lines?
How can you slow down the flattening out of the ant line? Can you make the path fail to converge to a straight line?
How can you speed up the flattening out of the ant line?
How might you keep track of, measure, or plot the flattening process?
What if you relaxed the ant following rules --- maybe add some "wiggle" to their behavior?
Notice the use of delays based on turtle ids in the TIME-TO-START? reporter to make the turtles leave the nest one at a time.
The model was inspired by the work of Alfred Bruckstein (see Bruckstein 1993: "Why the ant trails look so straight and nice", The Mathematical Intelligencer, Vol. 15, No. 2).
If you mention this model or the NetLogo software in a publication, we ask that you include the citations below.
For the model itself:
Please cite the NetLogo software as:
Copyright 1997 Uri Wilensky.
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.
Commercial licenses are also available. To inquire about commercial licenses, please contact Uri Wilensky at firstname.lastname@example.org.
This model was created as part of the project: CONNECTED MATHEMATICS: MAKING SENSE OF COMPLEX PHENOMENA THROUGH BUILDING OBJECT-BASED PARALLEL MODELS (OBPML). 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 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 (REPP & ROLE programs) -- grant numbers REC #9814682 and REC-0126227. Converted from StarLogoT to NetLogo, 2001.