Humans possess great capacity for behavioral and cultural change, but our ability to
manage change is still limited. This article has two major objectives: first, to sketch a basic …

This editorial article introduces the Frontiers Research Topic and Electronic Book (eBook)
on Intrinsic Motivations (IMs), which involved the publication of 24 articles with the journals …

Optimal decision-making is based on integrating information from several dimensions of
decisional space (eg, reward expectation, cost estimation, effort exertion). Despite …

Devising efficient strategies for exploration in large open-ended spaces is one of the most
difficult computational problems of intelligent organisms. Because the available rewards are …

Humans and other biological agents are able to autonomously learn and cache different
skills in the absence of any biological pressure or any assigned task. In this respect, Intrinsic …

We propose an architecture for the open-ended learning and control of embodied agents.
The architecture learns action affordances and forward models based on intrinsic …

Proactively perceiving others' intentions is a crucial skill to effectively interact in unstructured,
dynamic and novel environments. This work proposes a first step towards embedding this …

Autonomy and self-improvement capabilities are still challenging in the fields of robotics and
machine learning. Allowing a robot to autonomously navigate in wide and unknown …

Motivation is a crucial part of animal and human mental development, fostering competence,
autonomy, and open-ended development. Motivational constructs have proved to be an …

Intrinsic motivations drive the acquisition of knowledge and skills on the basis of novel or
surprising stimuli or the pleasure to learn new skills. In so doing, they are different from …