Imitation can be viewed as a means of enhancing learning in multiagent environments. It
augments an agent's ability to learn useful behaviors by making intelligent use of the …

Humans are often characterized as the most behaviourally flexible of all animals. Evolution
has stumbled upon an unlikely but very effective trick for achieving this state. Relative to …

Imitation is a powerful mechanism whereby knowledge may be transferred between agents
(both biological and artificial). Key problems on the topic of imitation have emerged in …

Learning from demonstration algorithms enable a robot to learn a new policy based on
demonstrations provided by a teacher. In this article, we explore a novel research direction …

Several algorithms and models have recently been proposed for imitation learning in
humans and robots. However, few proposals offer a framework for imitation learning in noisy …

Social robotics opens up the possibility of individualized social intelligence in member
robots of a community, and allows us to harness not only individual learning by the …

The ability to learn during continuous and on-line observation would be advantageous for
humanoid robots, as it would enable them to learn during co-location and interaction in the …

We propose an extension of the study of imitation in artefacts in which imitation takes place
at the populationlevel. Instead of assuming a one-to-one teacher-student relation between …

In this paper we present our work on developing a shared repertoire of action categories
through imitation. A population of robotic agents invents and shares a repertoire of action …

An imitation game for learning action categories is proposed. It serves to invent and share a
repertoire of action categories in a population of robotic agents. The agents start without any …