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/

Global: Zendy Plus annual

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

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We present an agent-based model inspired by the Evolutionary Minority Game(EMG), albeit strongly adapted to the case of competition for limited resourcesin ecology. The agents in this game become able, after some time, to predictthe a priori best option as a result of an evolution-driven learning process.We show that a self-segregated social structure can emerge from this process,i.e., extreme learning strategies are always favoured while intermediatelearning strategies tend to die out. This result may contribute tounderstanding some levels of organization and cooperative behaviour inecological and social systems. We use the ideas and results reported here todiscuss an issue of current interest in ecology: the mistimings in egg layingobserved for some species of bird as a consequence of their slower rate ofadaptation to climate change in comparison with that shown by their prey. Ourmodel supports the hypothesis that habitat-specific constraints could explainwhy different populations are adapting differently to this situation, inagreement with recent experiments.

Limited resources and evolutionary learning may help to understand the mistimed reproduction in birds caused by climate change