Multiagent systems may be elegantly modeled and designed by enhancing the role of the environment in which agents evolve. In particular, the environment may have the role of a gove...
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
In this work, we explore how local interactions can simplify the process of decision-making in multiagent systems, particularly in multirobot problems. We review a recent decision-...
Analytical models are a fundamental tool in the development of computer-based systems of every kind: their essential purpose is to support human understanding and reasoning in deve...
We describe novel approaches to multimedia analysis and synthesis problems. We first present the experiential sampling technique which has the ability to focus on the analysis task...