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Chaitanya S. Gokhale
Researcher at Max Planck Society
Publications - 84
Citations - 1595
Chaitanya S. Gokhale is an academic researcher from Max Planck Society. The author has contributed to research in topics: Population & Evolutionary dynamics. The author has an hindex of 19, co-authored 75 publications receiving 1318 citations. Previous affiliations of Chaitanya S. Gokhale include Massey University & University at Albany, SUNY.
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Evolutionary games in the multiverse
TL;DR: This work addresses one-shot games with multiple players and shows that statements derived for pairwise interactions no longer hold, which means that results from two-player games can be generalized to multiple players.
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How small are small mutation rates
TL;DR: How small the mutation rate should be to make the embedded Markov chain a good approximation by calculating the difference between the real stationary distribution and the approximated one is analyzed.
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Evolutionary Multiplayer Games
TL;DR: The aim is a summary of the theoretical results from well-mixed populations in infinite as well as finite populations and to probe certain future directions which can be explored using the complexity of multiplayer games while preserving the promise of simplicity of evolutionary games.
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Lotka–Volterra dynamics kills the Red Queen: population size fluctuations and associated stochasticity dramatically change host-parasite coevolution
TL;DR: This work uses a related mathematical modeling approach to demonstrate that ongoing Red Queen dynamics is unlikely and calls for a paradigm shift in the understanding of host-parasite coevolution, strongly suggesting that these are driven by recurrent selective sweeps rather than continuous allele oscillations.
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Dynamic Properties of Evolutionary Multi-player Games in Finite Populations
TL;DR: The dynamical properties of evolutionary multi-player games in finite populations are investigated, including properties of the fixation probability and fixation time, which are relevant for rare mutations, are addressed in well mixed populations.