Cooperative Behavior in a Model of Evolutionary Snowdrift Games with $N$-person Interactions
D.F. Zheng, H.P. Yin, C.H. Chan, and P.M. Hui

TL;DR
This paper models evolutionary snowdrift games with multi-person interactions, deriving an exact equilibrium equation and showing that cooperation decreases as group size and cost-to-benefit ratio increase, supported by simulations.
Contribution
It introduces an exact $N$-th-order equilibrium equation for multi-person snowdrift games and analyzes how cooperation varies with group size and costs.
Findings
Cooperation decreases with larger group size.
Equilibrium cooperation level scales as 1/N for large N.
Simulation results agree with theoretical predictions.
Abstract
We propose a model of evolutionary snowdrift game with -person interactions and study the effects of multi-person interactions on the emergence of cooperation. An exact -th-order equation for the equilibrium density of cooperators is derived for a well-mixed population using the approach of replicator dynamics. The results show that the extent of cooperation drops with increasing cost-to-benefit ratio and the number of interaction persons in a group, with for large . An algorithm for numerical simulations is constructed for the model. The simulation results are in good agreements with theoretical results of the replicator dynamics.
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