Distributed constraint optimization (DCOP) is a promising approach to coordination, scheduling and task allocation in multi agent networks. In large-scale or low-bandwidth network...
Emma Bowring, Jonathan P. Pearce, Christopher Port...
As the ability to produce a large number of small, simple robotic agents improves, it becomes essential to control the behavior of these agents in such a way that the sum of their...
To create realistic and expressive virtual humans, we need to develop better models of the processes and dynamics of human emotions and expressions. A first step in this effort is...
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
In this paper we investigate two related aspects of the formalization of open interaction systems: how to specify norms, and how to enforce them by means of sanctions. The problem...