The knowledge that a natural learner creates of any new situation will initially not only be
partial but very likely be partially incorrect. To improve incomplete and incorrect knowl-edge …

Abstract The theory of Enactive Inference was proposed by Karl Friston and his colleagues
to explain how the brain infers knowledge about the world through the subject's interactive …

We discuss the influence upon the fields of robotics and AI of the manner one conceives the
relationships between artificial agents' perception, cognition, and action. We shed some light …

We present a description of an ASM-network, a new habit-based robot controller model
consisting of a network of adaptive sensorimotor maps. This model draws upon recent …

Intuitively, the level of autonomy of an agent is related to the degree to which the agent's
goals and behaviour are decoupled from the immediate control by the environment. Here …

We present a mobile robot that autonomously generates behaviors to calibrate its intuitive-
physics engine, also known as the “Game Engine in the Head”(GEITH). Most POMDP and …

The enactive inference task is the task for an autonomous enactive artificial agent to infer
data structures useful to select future adapted behavior. An enactive artificial agent is an …

PdM is unready to face the near-future incoming challenges since it is anchored in an
obsolete paradigm alien to the incoming cyber-physical reality and unfit for unbelievable …

We present a project to design interactive devices (smart displays, robots, etc.) capable of
self-motivated learning through non-goal-directed interactive behaviors (eg, curious …

This presentation discusses a notion encountered across disciplines, and in different facets
of human activity: autonomous activity. We engage it in an interdisciplinary way. We start by …