The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using coo...
k- and t-optimality algorithms [9, 6] provide solutions to DCOPs that are optimal in regions characterized by its size and distance respectively. Moreover, they provide quality gu...
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 ...
The requirement for ubiquitous service access in wireless environments presents a great challenge in light of well known problems like high error rate and frequent disconnections....
Vasileios Baousis, Vassilis Spiliopoulos, Elias Za...
In this paper, we defend the idea of integrating the actual cognitive features of novice users in the creation process of the applications to significantly increase the quality of...