This paper introduces design principles for modular Bayesian fusion systems which can (i) cope with large quantities of heterogeneous information and (ii) can adapt to changing co...
Gregor Pavlin, Patrick de Oude, Marinus Maris, Jan...
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...
In many scenarios network design is not enforced by a central authority, but arises from the interactions of several self-interested agents. This is the case of the Internet, wher...
Jocelyne Elias, Fabio Martignon, Konstantin Avrach...
—In many scenarios network design is not enforced by a central authority, but arises from the interactions of several self-interested agents. This is the case of the Internet, wh...
Jocelyne Elias, Fabio Martignon, Konstantin Avrach...
What distinguishes multiagent systems from other software systems is their emphasis on the interactions among autonomous, heterogeneous agents. This paper motivates and characteriz...