NetLogo Models Library:
Note: If you download the NetLogo application, every model in the Models Library is included.
This is a 3D version of the Flocking model in the NetLogo Models Library. This model is an attempt to mimic the flocking of birds. (The resulting motion also resembles schools of fish.) The flocks that appear in this model are not created or led in any way by special leader birds. Rather, each bird is following exactly the same set of rules, from which flocks emerge.
The birds follow three rules: "alignment", "separation", and "cohesion". "Alignment" means that a bird tends to turn so that it is moving in the same direction that nearby birds are moving. "Separation" means that a bird will turn to avoid another bird which gets too close. "Cohesion" means that a bird will move towards other nearby birds (unless another bird is too close). When two birds are too close, the "separation" rule overrides the other two, which are deactivated until the minimum separation is achieved.
The three rules affect only the bird's heading. Each bird always moves forward at the same constant speed.
First, determine the number of birds you want in the simulation and set the POPULATION slider to that value. Press SETUP to create the birds, and press GO to have them start flying around.
The default settings for the sliders will produce reasonably good flocking behavior. However, you can play with them to get variations:
The three turn sliders (MAX-COHERE-TURN, MAX-ALIGN-TURN, and MAX-SEPARATE-TURN) control the maximum angle a bird can turn as a result of each rule.
VISION is the distance that each bird can see 360 degrees around it.
FOLLOW BIG FLOCK and WATCH BIG FLOCK - select a random bird with the maximum number of FLOCKMATES and follows or watches appropriately.
Central to the model is the observation that flocks form without a leader.
There are no random numbers used in this model, except to position the birds initially. The fluid, lifelike behavior of the birds is produced entirely by deterministic rules.
Also, notice that each flock is dynamic. A flock, once together, is not guaranteed to keep all of its members. Why do you think this is?
After running the model for a while, all of the birds have approximately the same heading. Why?
Sometimes a bird breaks away from its flock. How does this happen? You may need to slow down the model or run it step by step in order to observe this phenomenon.
Play with the sliders to see if you can get tighter flocks, looser flocks, fewer flocks, more flocks, more or less splitting and joining of flocks, more or less rearranging of birds within flocks, etc.
You can turn off a rule entirely by setting that rule's angle slider to zero. Is one rule by itself enough to produce at least some flocking? What about two rules? What's missing from the resulting behavior when you leave out each rule?
Will running the model for a long time produce a static flock? Or will the birds never settle down to an unchanging formation? Remember, there are no random numbers used in this model.
Currently the birds can "see" all around them. What happens if birds can only see in front of them? The
in-cone primitive can be used for this.
Is there some way to get V-shaped flocks, like migrating geese?
What happens if you put walls around the edges of the world that the birds can't fly into?
Can you get the birds to fly around obstacles in the middle of the world?
In this model, the birds turn left or right (change in yaw) without rolling. Real birds bank when they turn. Can you change the basic rules of the model so that the flocking behavior results from banking?
What would happen if you gave the birds different velocities? For example, you could make birds that are not near other birds fly faster to catch up to the flock. Or, you could simulate the diminished air resistance that birds experience when flying together by making them fly faster when in a group.
Are there other interesting ways you can make the birds different from each other? There could be random variation in the population, or you could have distinct "species" of bird.
Compare this model to the 2D version in the NetLogo Models Library. Notice how similar the Code tab is to the other model but also notice the use of pitch-related primitives as well.
Notice the need for the
subtract-headings primitive and special procedure for averaging groups of headings. Just subtracting the numbers, or averaging the numbers, doesn't give you the results you'd expect, because of the discontinuity where headings wrap back to 0 once they reach 360.
This model is inspired by the Boids simulation invented by Craig Reynolds. The algorithm we use here is roughly similar to the original Boids algorithm, but it is not the same. The exact details of the algorithm tend not to matter very much -- as long as you have alignment, separation, and cohesion, you will usually get flocking behavior resembling that produced by Reynolds' original model. Information on Boids is available at http://www.red3d.com/cwr/boids/.
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 1998 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 email@example.com.
This is a 3D version of the 2D model Flocking.
This model was created 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.