We present a new method for the incremental training of multiclass Support Vector Machines that provides computational efficiency for training problems in the case where the trai...
One of the most difficult problems in Multi-Agent Systems (MAS) involves representing the knowledge and beliefs of an agent which performs its tasks in a dynamic environment. New p...
Visual and non-visual data are often related through complex, indirect links, thus making the prediction of one from the other difficult. Examples include the partiallyunderstood ...
Abstract. A framework for cooperative goal-satisfaction in large-scale MultiAgent Systems (MAS) is presented in this paper. This is performed by demonstrating the applicability of ...
Cooperative coevolution is often used to solve difficult optimization problems by means of problem decomposition. Its performance on this task is influenced by many design decisio...