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Games of multicellularity.

Kamran Kaveh1, Carl Veller2, Martin A Nowak2

  • 1Program for Evolutionary Dynamics, Harvard University, Cambridge, MA 02138, USA.

Journal of Theoretical Biology
|May 16, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multicellular model for evolutionary game dynamics where cells form groups. The findings reveal exact conditions for strategy selection, mirroring known results but applicable to broader scenarios.

Keywords:
ComplexityCooperationEvolution of multicellularityEvolutionary game theory

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Area of Science:

  • Evolutionary Biology
  • Game Theory
  • Theoretical Ecology

Background:

  • Evolutionary game dynamics are typically analyzed within fixed population structures.
  • Understanding how population structure influences evolutionary outcomes is crucial.

Purpose of the Study:

  • To introduce a new population structure inspired by simple multicellular life forms.
  • To analyze evolutionary game dynamics within this novel structure, considering frequency-dependent interactions.

Main Methods:

  • A novel model of cell reproduction and grouping into complexes of size n.
  • Analysis of deterministic evolutionary dynamics with mutations for all two-strategy games.
  • Derivation of exact conditions for selection favoring one strategy over another.

Main Results:

  • The derived conditions for selection exhibit symmetry similar to the established sigma condition.
  • For maximum complex size n=2, results hold for any selection intensity.
  • For n≥3, results are valid under weak selection.

Conclusions:

  • The proposed multicellular model offers new insights into evolutionary game dynamics.
  • The model advances theoretical work on multicellularity by incorporating within-group frequency-dependent interactions.
  • Specific game examples like the prisoner's dilemma and hawk-dove game illustrate the model's applicability.