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Modelling collective animal behaviour David J. T. Sumpter Department of Mathematics Uppsala University.

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Presentation on theme: "Modelling collective animal behaviour David J. T. Sumpter Department of Mathematics Uppsala University."— Presentation transcript:

1 Modelling collective animal behaviour David J. T. Sumpter Department of Mathematics Uppsala University

2 Moving together Aggregation in space. Moving in the same direction. Complex patterns.

3 Self-propelled particle models current positioncurrent velocity position and velocity of neighbours stochastic effect future position future velocity

4 Aggregation model in one dimension current positioncurrent velocity position and velocity of neighbours stochastic effect future position future velocity e is a random number selected uniformly at random from a range

5 Aggregation model in one dimension

6 Cockroach aggregation Cockroaches Model

7 Radakov’s fish

8 Alignment model in one dimension current positioncurrent velocity position and velocity of neighbours stochastic effect future position future velocity e is a random number selected uniformly at random from a range

9 Position: Velocity: Time SpaceTime Average direction Alignment model in one dimension

10 Position: Velocity: Time SpaceTime Average direction Alignment model in one dimension

11 Position: Velocity: Time SpaceTime Average direction Alignment model in one dimension

12 Transition from disorder to order measures order in the system. η is degree of randomness, ρ is density (number of particles over size of world).

13 Transition from disorder to order measures order in the system. η is degree of randomness, ρ is density (number of particles over size of world).

14 Transition from disorder to order measures order in the system. η is degree of randomness, ρ is density (number of particles over size of world).

15 Alignment model in two dimensions current positioncurrent velocity position and velocity of neighbours stochastic effect future position future velocity where the θ j are the directions of i’s neighbours and ε is chosen uniformly at random from a range.

16 Alignment model in two dimensions

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19 Attraction, alignment and repulsion in three dimensions

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23 Collective Animal Behaviour www.collective-behavior.com

24 Collective Animal Behaviour www.collective-behavior.com

25 Collective Animal Behaviour www.collective-behavior.com

26 Collective Animal Behaviour www.collective-behavior.com

27 Collective Animal Behaviour www.collective-behavior.com


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