An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...
Abstract. Agent-oriented system development aims to simplify the conn of complex systems by introducing a natural abstraction layer on top of the object-oriented paradigm composed ...
Lars Braubach, Alexander Pokahr, Daniel Moldt, Win...
Abstract. Cooperative, autonomous and distributed properties of multiagent systems deduce the dynamic capabilities of multi-agent system applications. On the other hand, these suit...
Ibrahim Cakirlar, Erdem Eser Ekinci, Oguz Dikenell...
Developing complex robotic systems endowed with self-conscious abilities and subjective experience is a hard requirement to face at design time. This paper deals with the developme...
Antonio Chella, Massimo Cossentino, Valeria Seidit...