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[screen shot]

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If clicking does not initiate a download, try right clicking or control clicking and choosing "Save" or "Download".(The run link is disabled for this model because it was made in a version prior to NetLogo 6.0, which NetLogo Web requires.)

## WHAT IS IT?

The agents implement the dynamics described in the paper "Collective Memory and Spatial Sorting in Animal Groups" by Couzin et al.

## HOW IT WORKS
(1) Individuals attempt to maintain a minimum distance between themselves and others at
all times. This rule has the highest priority and corresponds to a frequently observed behaviour of animals in nature .
(2) If individuals are not performing an avoidance manoeuvre (rule 1) they tend to be attracted towards other individuals (to avoid being isolated) and to align themselves with neighbours. These behavioural tendencies are simulated using local perception and simple response behaviours.

## HOW TO USE IT

Press SETUP to create agents at their starting positions.
Press GO to make the model run continuously.
Press DRAW CELLS to use to the cursor on the model to draw obstacles.

## THINGS TO TRY

The model is then used to show how differences among individuals influence group structure, and how individuals employing simple, local rules of thumb, can accurately change their spatial position within a group (e.g. to move to the centre, the front, or the periphery) in the absence of information on their current position within the group as a whole.

Try simulating different real-life situations by adding obstacles to the motion of individuals.

## EXTENDING THE MODEL

Try adding different replusion methods.
Further, also try simulating populations of agents with different characterstics.

## CREDITS AND REFERENCES

Couzin, Iain D., et al. "Collective memory and spatial sorting in animal groups." Journal of theoretical biology 218.1 (2002): 1-11.
The documetation is also extracted from:
Couzin, Iain D., et al. "Collective memory and spatial sorting in animal groups." Journal of theoretical biology 218.1 (2002): 1-11.

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