1 research outputs found
Observational learning: basis, experimental results, models and implications to robotics
In this paper, we describe a brief survey of
observational learning, with particular emphasis on how
this could impact on the use of observational learning in
robots. We present a set of simulations of a neural model
which fits recent experimental data and such that it leads to
the basic idea that observational learning uses simulations
of internal models to represent the observed activity, so
allowing for efficient learning of the observed actions. We
conclude with a set of recommendations as to how observational
learning might most efficiently be used in developing
and training robots for their variety of tasks