Agent architectures have to cope with a number of internal properties (concerns), such as autonomy, learning, and mobility. As the agent complexity increases, these agent propertie...
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
The expansion of the WWW and the growth of data sources lead to the proliferation of heterogeneous data (texts, images, videos, sounds and relational views). We call these data ”...
We present a multi-agent formalism based on extended answer set programming. The system consists of independent agents connected via a communication channel, where knowledge and be...
Davy Van Nieuwenborgh, Marina De Vos, Stijn Heyman...
This paper addresses multi agent system (MAS) environments from an application perspective. It presents a structured view on environment-centric MAS applications. This comprises th...
Paul Valckenaers, John A. Sauter, Carles Sierra, J...