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 …

This paper proposes a computational model for learning robot control and sequence
planning based on the ideomotor principle. This model encodes covariation laws between …

Based on the Cultural Historical Activity Theory (CHAT), the paper presents tasks learning
robotics model. The model focuses on loop based learning, the abstract activity structure …

AI constructivism as inspired by Jean Piaget, described and surveyed by Frank Guerin, and
representatively implemented by Gary Drescher seeks to create algorithms and knowledge …

In this paper we present a generic multiagent learning system based on context learning
applied in robotics. By applying learning with multiagent systems in robotics, we propose an …

When Alan Turing proposed the imitation game as a method to investigate the question if
machines can think, he described a social system. However, the various disciplines that …

This thesis investigates the role of exploratory play in the development of the basic
knowledge of actions and objects involved in play with artificial agents. We developed a …

In this paper, we place ourselves in the context learning approach and we aim to show that
adaptive multiagent systems are a relevant solution to its enhancement with local active …

Résumé La société des ingénieurs de l'automobile a identifié 5 niveaux de conduite
autonome dont le niveau 3 appelé" l'automatisation conditionnée" où le conducteur doit être …

Résumé Dans cet article, nous nous plaçons dans des environnements de systèmes
complexes, imprévisibles et dynamiques pour lesquels nous avons pour objectif de montrer …