Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Abstract The advent of large-scale distributed systems poses unique engineering challenges. In open systems such as the internet it is not possible to prescribe the behaviour of al...
Fast algorithms are presented for performing computations in a probabilistic population model. This is a variant of the standard population protocol model--in which finite-state ag...
Recent smartphones incorporate embedded GPS devices that enable users to obtain geographic information about their surroundings by providing a location-based service (LBS) with the...
Francisco Santos, Mathias Humbert, Reza Shokri, Je...
Process models capture tasks performed by agents together with their control flow. Building and analyzing such models is important but difficult in certain areas such as safety-cr...
Christophe Damas, Bernard Lambeau, Francois Roucou...