Human operators of large-scale control systems face the problem of information overload induced by the large amount of information provided by multiple heterogeneous and highlydyn...
Norbert Baumgartner, Werner Retschitzegger, Wielan...
: This paper reveals the evolution of the polymorphic architectures in the context of ever increasing computational demands of the user applications and the need for formal archite...
For interaction with its environment, a robot is required to learn models of objects and to perceive these models in the livestreams from its sensors. In this paper, we propose a ...
Abstract--This study proposes an efficient self-evolving evolutionary learning algorithm (SEELA) for neurofuzzy inference systems (NFISs). The major feature of the proposed SEELA i...
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...