We define Trusted Kernel-based Coalition Formation as a novel extension to the traditional kernel-based coalition formation process which ensures agents choose the most reliable ...
Bastian Blankenburg, Rajdeep K. Dash, Sarvapali D....
Many multi-agent systems seek to reconcile two apparently inconsistent constraints. The system’s overall objective is defined at a global level. However, the agents have only lo...
H. Van Dyke Parunak, Sven Brueckner, John A. Saute...
We study the evolution of simple cells that are equipped with a genome, a rudimentary gene regulation network at transcription level and two classes of functional genes: motion e...
Camille Stephan-Otto Attolini, Peter F. Stadler, C...
Abstract. We present a new technique for granular sampling using a pulsecoupled network of spiking artificial neurons to generate grain events. The system plays randomly selected s...
A Quasi-Monte-Carlo method based on the computation of a surrogate model of the fitness function is proposed, and its convergence at super-linear rate 3/2 is proved under rather ...