English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Open

The replicator-mutator dynamic was originally derived to model the evolutionof language, and since the model was derived in such a general manner, it hasbeen applied to the dynamics of social behavior and decision making inmulti-agent networks. For the two type population, a bifurcation point of themutation rate is derived, displaying different long-run behaviors above andbelow this point. The long-run behavior would naturally be subjected to noisefrom the environment, however, to date there does not exist a model thatdynamically accounts for the effects of the environment. To account for theenvironmental impacts on the evolution of the populace, mutation rates aboveand below this bifurcation point are switched according to a continuous-timeMarkov chain. The long-run behaviors of this model are derived, showing acounterintuitive result that the majority of initial conditions will favor thedominated type.

Markovian Switching of Mutation Rates in Evolutionary Network Dynamics