Real world multiagent coordination problems are important issues for reinforcement learning techniques. In general, these problems are partially observable and this characteristic ...
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents, and present a framework that uses this paradigm t...
In open systems where the components, i.e. the agents and the resources, may be unknown at design time, or in dynamic and self-organizing systems evolving with time, there is a ne...
Abstract. We introduce an object-oriented referencing abstraction to express coordination between objects hosted on mobile devices interconnected by a wireless ad hoc network. On t...
Tom Van Cutsem, Jessie Dedecker, Wolfgang De Meute...
The interaction techniques that are used in tabletop groupware systems (such as pick-and-drop or pantograph) can affect the way that people collaborate. However, little is known a...
Miguel A. Nacenta, David Pinelle, Dane Stuckel, Ca...