From 12th to 13th of July, social learning researchers of different disciplines and levels of career gathered again for the annual Culture Conference. For the first time in its young history, this year’s Culture Conference was not held in Birmingham, […]
The Early-Career Social Learning Researchers Society (ESLR) held its second workshopon the 21st and 22nd June 2018 at the University of St Andrews, Scotland. The workshop hosted 24 early-career researchers from 16 institutions. Attendees took part in interactive sessions covering […]
Nature presents a diversity of challenges that individuals can address through learning, and the best learning strategies to employ can depend on the type of challenge. Challenges can vary in how rewarding a given solution is, with respect to how closely it resembles some optimal ideal. In some cases, small incremental improvements toward the ideal provide adequate feedback between solution and reward for an individual to learn asocially (wide fitness landscape). By contrast, individuals have inadequate guidance for tracking an ideal solution and rely more on social learning when only some solutions are rewarded (narrow fitness landscape).