Time delays shape the eco-evolutionary dynamics of cooperation

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作者
Sourav Roy
Sayantan Nag Chowdhury
Srilena Kundu
Gourab Kumar Sar
Jeet Banerjee
Biswambhar Rakshit
Prakash Chandra Mali
Matjaž Perc
Dibakar Ghosh
机构
[1] Jadavpur University,Department of Mathematics
[2] University of California,Department of Environmental Science and Policy
[3] University of Chicago,Department of Ecology & Evolution
[4] Indian Statistical Institute,Physics and Applied Mathematics Unit
[5] BYJU’S,Department of Mathematics, Amrita School of Physical Sciences
[6] Think & Learn Pvt. Ltd.,Faculty of Natural Sciences and Mathematics
[7] IBC Knowledge Park,Department of Medical Research, China Medical University Hospital
[8] Amrita Vishwa Vidyapeetham,Department of Physics
[9] University of Maribor,undefined
[10] China Medical University,undefined
[11] Alma Mater Europaea,undefined
[12] Complexity Science Hub Vienna,undefined
[13] Kyung Hee University,undefined
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摘要
We study the intricate interplay between ecological and evolutionary processes through the lens of the prisoner’s dilemma game. But while previous studies on cooperation amongst selfish individuals often assume instantaneous interactions, we take into consideration delays to investigate how these might affect the causes underlying prosocial behavior. Through analytical calculations and numerical simulations, we demonstrate that delays can lead to oscillations, and by incorporating also the ecological variable of altruistic free space and the evolutionary strategy of punishment, we explore how these factors impact population and community dynamics. Depending on the parameter values and the initial fraction of each strategy, the studied eco-evolutionary model can mimic a cyclic dominance system and even exhibit chaotic behavior, thereby highlighting the importance of complex dynamics for the effective management and conservation of ecological communities. Our research thus contributes to the broader understanding of group decision-making and the emergence of moral behavior in multidimensional social systems.
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