Skill learning and the evolution of social learning mechanisms
Authored by Mathias Franz, der Post Daniel J van, Kevin N Laland
Date Published: 2016
DOI: 10.1186/s12862-016-0742-9
Sponsors:
John Templeton Foundation
Platforms:
C++
Python
Model Documentation:
Other Narrative
Flow charts
Mathematical description
Model Code URLs:
https://bitbucket.org/dvanderpost/aapjes_bmc_eb_2016
Abstract
Background: Social learning is potentially advantageous, but
evolutionary theory predicts that (i) its benefits may be self-limiting
because social learning can lead to information parasitism, and (ii)
these limitations can be mitigated via forms of selective copying.
However, these findings arise from a functional approach in which
learning mechanisms are not specified, and which assumes that social
learning avoids the costs of asocial learning but does not produce
information about the environment. Whether these findings generalize to
all kinds of social learning remains to be established. Using a detailed
multi-scale evolutionary model, we investigate the payoffs and
information production processes of specific social learning mechanisms
(including local enhancement, stimulus enhancement and observational
learning) and their evolutionary consequences in the context of skill
learning in foraging groups.
Results: We find that local enhancement does not benefit foraging
success, but could evolve as a side-effect of grouping. In contrast, stimulus enhancement and observational learning can be beneficial across
a wide range of environmental conditions because they generate
opportunities for new learning outcomes.
Conclusions: In contrast to much existing theory, we find that the
functional outcomes of social learning are mechanism specific. Social
learning nearly always produces information about the environment, and
does not always avoid the costs of asocial learning or support
information parasitism. Our study supports work emphasizing the value of
incorporating mechanistic detail in functional analyses.
Tags
Adaptation
transmission
Strategies
Diet
Cumulative culture
Resource distributions
Enhancement
Traditions