activity
20092024
most citedStrategy abundance in evolutionary many-player games with multiple strategies

39 citations · 101 across the 5 of their papers we have counts for

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Showing q-bio.PEShow all

6 papers · 1 filter

q-bio.PE2024★ 2 cited

Compartment model of strategy-dependent time delays in replicator dynamics

Małgorzata Fic, Frank Bastian, Jacek Miękisz +1

Real-world processes often exhibit temporal separation between actions and reactions - a characteristic frequently ignored in many modelling frameworks. Adding temporal aspects, li…

q-bio.PE2016

Chaotic provinces in the kingdom of the Red Queen

Hanna Schenk, Arne Traulsen, Chaitanya S. Gokhale

The interplay between parasites and their hosts is found in all kinds of species and plays an important role in understanding the principles of evolution and coevolution. Usually,…

q-bio.PE2016

Eco-evolutionary dynamics of social dilemmas

Chaitanya S. Gokhale, Christoph Hauert

Social dilemmas are an integral part of social interactions. Cooperative actions, ranging from secreting extra-cellular products in microbial populations to donating blood in human…

q-bio.PE2015

Repeatability of evolution on epistatic landscapes

Benedikt Bauer, Chaitanya S. Gokhale

Evolution is a dynamic process. The two classical forces of evolution are mutation and selection. Assuming small mutation rates, evolution can be predicted based solely on the fitn…

q-bio.PE2013★ 31 cited

Mutualism and evolutionary multiplayer games: revisiting the Red King

Chaitanya S. Gokhale, Arne Traulsen

Coevolution of two species is typically thought to favour the evolution of faster evolutionary rates helping a species keep ahead in the Red Queen race, where `it takes all the run…

q-bio.PE2011★ 39 cited

Strategy abundance in evolutionary many-player games with multiple strategies

Chaitanya S. Gokhale, Arne Traulsen

Evolutionary game theory is an abstract and simple, but very powerful way to model evolutionary dynamics. Even complex biological phenomena can sometimes be abstracted to simple tw…