Abstract. Taxonomies in the area of Multi-Agent Systems (MAS) classify problems according to the underlying principles and assumptions of the agents’ abilities, rationality and i...
The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
This paper describes an autonomic machine control system applied to the adaptive control of a modular soldering machine. The particular case concerns the creation of a novel modul...
Abstract. Emergent behaviour (EB) is a common phenomenon in multi-agent systems (MAS) where autonomous agents perform certain actions with only limited access to local information ...
Being able to trust in a system behavior is of prime importance, particularly within the context of critical applications as embedded or real-time systems. We want to ensure that ...
Caroline Chopinaud, Amal El Fallah-Seghrouchni, Pa...