This paper introduces Interactional Motivation (IM) as a way to implement self-motivation in
artificial systems. An interactionally motivated agent selects behaviors for the sake of …

A novel way to model an agent interacting with an environment is introduced, called an
Enactive Markov Decision Process (EMDP). An EMDP keeps perception and action …

We propose an architecture for self-motivated agents allowing them to construct their own
knowledge of objects and of geometrical properties of space through interaction with their …

Abstract We propose the Small Loop Problem as a challenge for biologically inspired
cognitive architectures. This challenge consists of designing an agent that would …

We present an architecture for self-motivated agents to organize their behaviors in space
according to possibilities of interactions afforded by initially unknown objects. The long-term …

> Purpose• This article investigates the emergence of subsystems in societies as a solution
to the double contingency problem.> Context• There are two underlying paradigms: one is …

We present an architecture for self-motivated agents to generate behaviors in an
environment that is continuous, both in space and time, through a continual interaction …

We present an architecture for self-motivated agents to organize their behaviors according to
possibilities of interactions proposed by the environment, and to modify the environment to …

In this thesis, we shall propose a formalism to develop the notion of sensorimotor spatial
perception in a robotic context. Usually in classical approaches to robotics, the perception of …

Résumé Selon Emmanuel Kant, un individu n'a pas accès à la chose en soi tel qu'elle est
présente dans le monde, chose que E. Kant appelle noumène, mais construit une …