— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Imagination is generally regarded as a very powerful and advanced cognitive ability. In this paper we propose a modelling framework for what we call functional imagination: the ab...
Hugo Gravato Marques, Owen Holland, Richard Newcom...
Defining the collecting semantics is usually the first crucial step in adapting the general methodology of abstract interpretation to the semantic framework or programming languag...
Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
The understanding of human physical and physiological signals and expressions, together with a growing processing and control capacity allows for new approaches in interactive sys...