Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
After the successful completion of the NEMLAR project 2003-2005, a new opportunity for a project was opened by the European Commission, and a group of largely the same partners is...
Bente Maegaard, Mohammed Atiyya, Khalid Choukri, S...
The growing emphasis on learner-centered education focuses on intrinsically motivated learning via engaging problem-solving activities. Habitable 3D learning environments, in which...
William H. Bares, Luke S. Zettlemoyer, James C. Le...
Social learning in robotics has largely focused on imitation learning. Here we take a broader view and are interested in the multifaceted ways that a social partner can influence t...
Maya Cakmak, Nicholas DePalma, Rosa I. Arriaga, An...