Several methodologies based on Multi-agent Systems (MAS) already exist. They help designers to describe software or to create MAS which aim at solving complex problems by simulati...
Nicolas Marilleau, Christophe Lang, Pascal Chatonn...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
A better understanding of “human error” is needed to help overcome problems of people assuming they are to blame for their inability to use poorly designed technology. In order...
Abstract. We study an extensive class of movement minimization problems which arise from many practical scenarios but so far have little theoretical study. In general, these proble...
Erik D. Demaine, MohammadTaghi Hajiaghayi, D&aacut...
Abstract. Constraint Satisfaction has been widely used to model static combinatorial problems. However, many AI problems are dynamic and take place in a distributed environment, i....