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Local Replicator Dynamics Philippe Uyttendaele (joint work with Mandy Tak, Frank Thuijsman, Ronald Westra)

Local Replicator Dynamics

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Local Replicator Dynamics. Philippe Uyttendaele (joint work with Mandy Tak, Frank Thuijsman, Ronald Westra). Global Replicator Dynamics. Local Replicator Dynamics. Field represent a torus. Local Replicator Dynamics. Random starting field. Local Replicator Dynamics. Focus on a cell. - PowerPoint PPT Presentation

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Page 1: Local Replicator Dynamics

Local Replicator Dynamics

Philippe Uyttendaele(joint work with Mandy Tak, Frank Thuijsman, Ronald Westra)

Page 2: Local Replicator Dynamics

Global Replicator Dynamics

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0012

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Page 3: Local Replicator Dynamics

Local Replicator Dynamics

• Field represent a torus

Page 4: Local Replicator Dynamics

Local Replicator Dynamics

• Random starting field

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Page 5: Local Replicator Dynamics

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Local Replicator Dynamics

• Focus on a cell

Page 6: Local Replicator Dynamics

Local Replicator Dynamics

• Interaction with each neighbors

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Page 7: Local Replicator Dynamics

Local Replicator Dynamics

• Interaction with each neighbors

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Local Replicator Dynamics

• Interaction with each neighbors

Page 9: Local Replicator Dynamics

Local Replicator Dynamics

12

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• Total fitness in a cell

Page 10: Local Replicator Dynamics

Local Replicator Dynamics

12

12

12

12

30

54

36Total 36 48 84

• Same procedure for entire field

Page 11: Local Replicator Dynamics

Local Replicator Dynamics

• Next generation

Page 12: Local Replicator Dynamics

Global Replicator Dynamics

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Page 13: Local Replicator Dynamics

Local Replicator Dynamics

• The GRD predicts to take over

• Is there a possibility for this not to happen?

Page 14: Local Replicator Dynamics

Local Replicator Dynamics

2424

24

12

12

12

12

12

1224

24 2418

18 18

18

18 18

18 18

18

12 12

12

1212

12

• Stable pattern

Page 15: Local Replicator Dynamics

In LRD all survive, in GRD not

• This is a rare event in random simulations

• Especially weak if mutations allowed

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Page 16: Local Replicator Dynamics

LRD

• Are there other possible stable structures?

• Can we find an easy Toy example like the Prisoner’s Dilemma?

Page 17: Local Replicator Dynamics

In GRD all survive, in LRD not

• Asymptotically stable for the GRD:

(0.75 , 0.25)

• Asymptotically stable for the LRD:

(1 , 0)

01

30

Page 18: Local Replicator Dynamics

LRD – Change in time/space

00)2cos(2

0

)2cos(200

k

xt

k

xt

Page 19: Local Replicator Dynamics

LRD – Resource Model• Fitness depends on availability of local resources• Looks like predator prey models• Populations moving around

Page 20: Local Replicator Dynamics

Multiple Populations Multiple Fields

1, 2

0, 0 2, 1

R1

Y2Y1

R2

Page 21: Local Replicator Dynamics

Directional Patterns

• Aligned Interactions

x

x

x

x

Page 22: Local Replicator Dynamics

What to do next?

• Go deeper in the analysis of each scenario

• Adapt the model based on the current one

• Have a better understanding– What leads to “stable” situations?– Can we define stability?– What are the key features in the matrices?

Page 23: Local Replicator Dynamics

Questions ?

Beware, the snails are taking over the population