no code implementations • 6 Jul 2022 • Benjamin Allen, Alex McAvoy
Our formalism allows for arbitrary -- but fixed -- spatial, age, sex, and class structure, with haploid or diploid genetics and any fixed mating pattern.
no code implementations • 15 Nov 2021 • Alex McAvoy, Yoichiro Mori, Joshua B. Plotkin
When success is measured as payoff in a game played against another learner, mutual selfishness typically fails to produce the optimal outcome for a pair of individuals.
1 code implementation • 13 May 2021 • Alex McAvoy, Julian Kates-Harbeck, Krishnendu Chatterjee, Christian Hilbe
However, when two such "selfish" learners interact with each other, the outcome can be detrimental to both, especially when there are conflicts of interest.
1 code implementation • 27 Oct 2020 • Alex McAvoy, John Wakeley
In order to accommodate the empirical fact that population structures are rarely simple, modern studies of evolutionary dynamics allow for complicated and highly-heterogeneous spatial structures.
no code implementations • 10 Aug 2019 • Alex McAvoy, Benjamin Allen
In evolutionary dynamics, a key measure of a mutant trait's success is the probability that it takes over the population given some initial mutant-appearance distribution.
no code implementations • 4 Jul 2018 • Christoph Hauert, Camille Saade, Alex McAvoy
Interestingly, in non-varying heterogeneous environments, the long-term dynamics are the same as for symmetric interactions in an average, homogeneous environment.