In the field of evolutionary robotics artificial neural networks are often used to construct controllers for autonomous agents, because they have useful properties such as the ab...
Peter Eggenberger, Akio Ishiguro, Seiji Tokura, To...
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
Tamper-proof devices are pretty powerful. They can be used to have better security in applications. In this work we observe that they can also be maliciously used in order to defea...
We argue that it is useful to study classes of Multi-Agent System (MAS) architectures, corresponding to architectural styles in addition to particular tures. In this work we focus ...
Paul Davidsson, Stefan J. Johansson, Mikael Svahnb...