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.
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.
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.
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.
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.
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 • 21 Apr 2024 • Christoph Hauert, Alex McAvoy
When individuals interact in groups, the evolution of cooperation is traditionally modeled using the framework of public goods games.