2009EvolutionRequires access

MATHEMATICS OF KIN- AND GROUP-SELECTION: FORMALLY EQUIVALENT?

Arne Traulsen

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Abstract

Evolutionary game theory is a general mathematical framework that describes the evolution of social traits. This framework forms the basis of many multilevel selection models and is also frequently used to model evolutionary dynamics on networks. Kin selection, which was initially restricted to describe social interactions between relatives, has also led to a broader mathematical approach, inclusive fitness, that can not only describe social evolution among relatives, but also in group structured populations or on social networks. It turns out that the underlying mathematics of game theory is fundamentally different from the approach of inclusive fitness. Thus, both approaches-evolutionary game theory and inclusive fitness-can be helpful to understand the evolution of social traits in group structured or spatially extended populations.

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What this paper is about

Evolutionary game theory is a general mathematical framework that describes the evolution of social traits. This framework forms the basis of many multilevel selection models and is also frequently used to model evolutionary dynamics on networks. Kin selection, which was initially restricted to describe social interactions between relatives, has also led to a broader mathematical approach, inclusive fitness, that can not only describe social evolution among relatives, but also in group structured populations or on social networks. It turns out that the underlying mathematics of game theory is fundamentally different from the approach of inclusive fitness. Thus, both approaches-evolutionary game theory and inclusive fitness-can be helpful to understand the evolution of social traits in group structured or spatially extended populations.

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Available abstract

Evolutionary game theory is a general mathematical framework that describes the evolution of social traits. This framework forms the basis of many multilevel selection models and is also frequently used to model evolutionary dynamics on networks. Kin selection, which was initially restricted to describe social interactions between relatives, has also led to a broader mathematical approach, inclusive fitness, that can not only describe social evolution among relatives, but also in group structured populations or on social networks. It turns out that the underlying mathematics of game theory is fundamentally different from the approach of inclusive fitness. Thus, both approaches-evolutionary game theory and inclusive fitness-can be helpful to understand the evolution of social traits in group structured or spatially extended populations.

Key concepts: Inclusive fitness, Kin selection, Selection (genetic algorithm), Social evolution, Group selection, Evolutionary game theory, Biology, Game theory

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