The design and development of cooperative Internet applications based on mobile agents require appropriate modelling of both the physical space where agents roam and the conceptual...
Marco Cremonini, Andrea Omicini, Franco Zambonelli
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
One of the main appeals of mobile sensors is the variety of environments in which they can operate as an autonomous network. Different environments, however, present different ch...
In this paper, we present TOTA (“Tuples On The Air”), a novel middleware to coordinate the movements of a large number of autonomous components (i.e. agents) in a ubiquitous co...
In this paper we present the Electronic Institutions Development Environment (EIDE) to support the engineering of multiagent systems as Electronic Institutions. An electronic inst...