Synchronous systems can immediately react to the inputs of their environment which may lead to so-called causality cycles between actions and their trigger conditions. Systems wit...
Energy consumption by computer systems has emerged as an important concern. However, the energy consumed in executing an algorithm cannot be inferred from its performance alone: i...
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
The development of multi-agent systems (MAS) implies considering both the social and individual levels of these systems. However, the elements in these levels are not necessarily c...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...